Location: UK or Portugal

Department: Engineering

Employment Type: Permanent

About YLD:

Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay. We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.

About the role:

As a Senior Data Engineer, you’ll be part of a client team building innovative products. We expect you to be curious, passionate, driven, and enthusiastic. You’ll be proficient at problem-solving, and crafting scalable, resilient, and fault-tolerant architectures. You’ll be an effective communicator and a team player. You and your team will move in a fast-paced engineering environment, achieving outstanding results and delivering exciting projects.

About you:

A YLD Senior Data Engineer is a highly skilled engineer who spans across data engineering and analytics engineering, and knows where the boundaries sit. You've built pipelines and transformation layers. You've inherited messy data projects and made them good. You have opinions about how data teams should work and the humility to adapt them to context.

You have a real passion for the craft and are an active learner who gets excited by the variety that consultancy brings: different clients, different stacks, different problems.

Your day-to-day responsibilities will look like this:

• Delivering data work on client engagements: pipelines, transformation layers, models, and the infrastructure around them
• Adapting to different client contexts, legacy warehouse migrations, greenfield lakehouses, struggling transformation layers that need rescuing
• Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
• Mentoring and growing data engineers across the company
• Showing up for client team moments (internal speakers, learning sessions, social events) to build strong working relationships.
• Contributing to proposals and helping shape engagements during the sales process
• Representing YLD externally through writing, speaking, and contributing to the wider data community.

You’ll have the following skills and experience:

• SQL as engineering: You write SQL that's reviewable, testable, and performs at scale. You understand query planning, engine quirks, and how materialisation choices affect cost and performance
• Python for data: You write typed, testable Python for pipelines and tooling. You've built and maintained production data systems, not just notebooks
• Data modelling: You've made deliberate choices between dimensional, Data Vault, normalised, and denormalised designs. You can explain those trade-offs in terms of flexibility, query performance, and maintainability
• Transformation architecture: You design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
• Pipeline design: You understand batch, streaming, and micro-batch trade-offs. You consider latency, complexity, cost, and reprocessability. And choose the right approach for the problem
• Data testing: You write tests as code, schema contracts, assertions, and transformation logic. You know what to catch at build time vs. defer to observability
• Data observability: You treat data reliability like site reliability. Measurable indicators, alerting, incident response, and root cause analysis
• CI/CD for data: You version, test, and deploy pipelines like software. Environment promotion, rollback strategies, and infrastructure as code for reproducible environments
• Data governance: You've implemented lineage, cataloguing, sensitive data classification, or access control. Not just built pipelines, but made them auditable and secure
• Cost-conscious: You've optimised warehouse spend, storage strategies, or job efficiency. You treat compute as a resource to manage, not ignore
• Platform fluency: You've worked across the modern stack. Orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
• Cross-functional fluency: You translate engineering constraints into business terms and negotiate realistic commitments

You’ll be:

• Self-motivated and proactive
• Comfortable with ambiguity, experimentation, and iteration
• Collaborative by default. You work well in teams and across teams
• Analytical and detail-oriented in your approach to problems
• Comfortable context-switching across clients, stacks, and problem types
• Willing to shape engagements, not just deliver them: contributing to proposals, scoping, and client relationships
• Active in the wider data community: writing, speaking, or open-source contribution
• Genuinely committed to diversity, equity, and inclusion

Benefits you'll get:

• Company Private Health care
• Enhanced fully paid maternity and paternity leave for up to 6 months
• Company’s Pension Scheme (UK Only)
• 25 days annual holiday (excluding Public Holidays)
• £2000/€2000 annual allowance for Training/Conferences
• £300/€300 annual allowance for additional hardware
• Wellbeing & Performance Support via Oli including Therapy and Coaching
• Discretionary Bonus (depending on Company performance and results)
• Company laptop
• Generous referral schemes

Our typical Recruitment Process looks like this:

• 1st Interview with someone from the Talent team (30-45 Minutes)
• Technical Interview with our Senior Developers (90 Minutes)
• Call with the Head of Engineering (60 Minutes)

Get a glimpse of what it's like working at YLD! 🤳

Check out our LinkedIn page

We live and breathe our values, and know you will too:

• Growing every day
• Including everyone
• Relationships built on honesty and ethics
• Inspiring solutions
• Winning together

We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.

Data Analytics Architect (Snowflake & dbt Expert)
Location: Western Europe

We're looking for a highly skilled Data Analytics Architect to serve as the cornerstone of our Go-To-Market (GTM) data platform and accelerate our ability to deliver actionable insights. In this role, you will take full ownership of our Snowflake environment and dbt projects to enhance and maintain our existing technical foundation. You will serve as the strategic bridge between our leadership in North America and our engineering teams in India, translating complex business objectives into high-performing, code-based data architectures. As our primary Snowflake and dbt expert, you will not only maintain our "warehouse-first" strategy but also pioneer the integration of modern AI tools like Claude Code into our development lifecycle to drive unprecedented efficiency.

To be successful in this role, you must be a technical powerhouse who is equally comfortable writing production-grade SQL/Python and presenting data strategy to stakeholders. You are a fast, clear, and independent thinker who thrives on the "get things done" mentality of a high-growth environment. You possess a deep understanding of modern data stack best practices—specifically version-controlled development and end-to-end orchestration—and you are never satisfied with the status quo. You excel at collaborating across time zones, navigating ambiguity without formal authority, and maintaining technical excellence under pressure. You are passionate about automation, detail-oriented in your data modeling, and have superb communication skills to make complex data lineages easy to understand for everyone in the organization.

As an Data Analytics Architect, you’ll get to:

• Own and Administer Snowflake: Manage the end-to-end Snowflake environment, including performance tuning, RBAC security modeling, cost optimization, user permissions, and compute management.
• Architect dbt Foundations: Lead the development of our dbt project, establishing standards for modeling, testing, documentation, and CI/CD pipelines.
• Bridge Global Teams: Act as the primary technical point of contact between North American leadership and India-based resources, ensuring seamless requirement translation and project execution across time zones.
• Operationalize AI: Integrate AI-assisted development (Claude Code, LLMs) into the workflow to automate boilerplate tasks and accelerate time-to-value for new data products.
• Transform GTM Data: Replace and enhance the "Warehouse-First" models, centralizing data from Salesforce, product usage, and marketing tools into a unified, clean source of truth.
• Ensure Data Integrity: Establish and own data quality monitoring, observability, and alerting frameworks to ensure business-critical dashboards remain reliable and accurate.

You’ll be a good fit if you have:

• 5-7+ years of experience in Data Analytics Architecture or Data Engineering, with a proven track record of owning a cloud data warehouse at scale.
• Mastery of Snowflake architecture, administration, and performance optimization.
• Advanced proficiency in dbt (Core or Cloud), including experience with macros, packages, and complex DAG management.
• Demonstrated success working within a distributed team, specifically coordinating between Western Europe, North America, and India.
• Fluent in version control (Git), SQL, and Python, with a strong focus on building maintainable, "code-first" data solutions.
• Experience (or high comfort level) using Claude Code and other AI development tools to enhance productivity and code quality.
• Understanding of SaaS metrics and Go-To-Market data flows (Salesforce, Marketo, Revenue Ops) is highly preferred.
• Native or near-native English fluency, with the ability to explain technical debt, architectural trade-offs, and data lineage to non-technical leaders.

We are hiring a hands-on Data Quality & Governance Engineer to build and run the governance that underpins our Data & AI function.

You will sit at the intersection of engineering, governance, and risk. Your focus is to build quality, metadata, lineage, and control capabilities into our data and AI platforms, and fix issues where data is created. The goal: reduce downstream issues and give LHV a clear, single view of how critical data and AI assets are governed.

You will work closely with the Head of Data & AI, engineers, AI/ML team, risk, and technology partners to turn policy into automated patterns across the platform.

 What You Will Do

Data Quality and Observability by Design:

• Implement automated data quality checks, alerts, and observability for critical datasets, data products, and AI features (Python, SQL, dbt, similar tools).
• Work with source system teams to identify root causes and fix data at source.
• Embed controls in pipelines and transformations (schema, referential integrity, freshness, PII, data contracts).
• Define and monitor data SLIs/SLOs (availability, latency, freshness, completeness) and feed these back to teams.
• Integrate quality and observability signals into monitoring and incident tooling (e.g. Coralogix, Jira)

Build and Run Governance Operations:

• Help design and operate the Data & AI governance “spine” that connects policies, data, AI, and risk.
• Implement and maintain:
  • An enterprise data catalogue and glossary
  • End‑to‑end lineage from source to warehouse/lake to products, models, and reports
  • Ownership, stewardship, and criticality metadata aligned to the Data & AI Stewardship Model
• Ensure governance tooling reflects how data actually flows.
• Link governed assets to policies, controls, and risks, giving a single view of what data we have, where it comes from, how it is used, and who is accountable.

Enable Safe, Governed AI and Analytics:

• Make core data assets “AI ready” through strong provenance, documentation, and quality standards.
• Integrate governance with AI services and model lifecycle tooling so:
  • Models and AI use cases are registered, owned, and linked to their data
  • Training data, features, and outputs have clear lineage back to source
  • Data quality and model monitoring (performance, drift, bias) can be traced end to end
• Partner with Data Scientists, ML Engineers, and Analysts to design repeatable, governed patterns for feature stores, training datasets, and AI outputs.

Support Stewardship, Risk and Compliance:

• Work with Data Owners, Stewards, Custodians, and AI Stewards to:
  • Identify and prioritise Critical Data Elements (CDEs) and high‑impact AI use cases
  • Capture ownership, definitions, quality rules, and control requirements
• Implement practical solutions for:
  • Classification, retention, and access control (e.g. GDPR, banking regulation)
  • Audit trails and evidence for key data flows and AI services
• Provide clear views of where critical data comes from, how it flows, and how well it is controlled, including:
  • Lineage, quality coverage, and control effectiveness
  • Inputs to the Data & AI Governance Forum
  • Regulatory and internal assurance materials

Technical guidance:

• Provide technical guidance and code review for governance and quality patterns.
• Contribute to shared practices for governance as code, CI/CD, testing, and observability for data and AI workloads.
• Work in an agile environment with product, engineering, risk, and business stakeholders to turn governance requirements into deliverable work.
• Help evaluate and introduce governance and observability tooling (catalogues, lineage, data observability, AI governance).

 What We Are Looking For

Essential:

• Significant experience within in a data‑focused engineering role (e.g. Data Engineer, Analytics Engineer, Data Platform Engineer, Governance Engineer) with strong emphasis on data quality, governance, or observability.
• Experience with financial data or in financial services or other regulated industries.
• Strong hands-on Python and SQL for checks, automation, and integrations.
• Proven experience implementing automated data quality rules and monitoring (dbt tests, custom SQL/Python checks, data observability tools) and using them to drive fixes at source.
• Practical understanding of data governance (catalogue, lineage, ownership/stewardship, CDEs, access control, retention) and how to operationalise it in production.
• Experience with cloud‑native data platforms, ideally AWS (e.g. Redshift, S3, Glue, Lambda, IAM) or similar.
• Familiarity with modern data modelling and transformation (e.g. dbt, dimensional modelling, star/snowflake schemas).
• Experience with CI/CD and infrastructure as code for data systems (e.g. GitHub Actions, CodeBuild/CodePipeline, Terraform).

Desirable:

• Experience with data governance platforms or catalogues (e.g. Collibra, Atlan, Collate, Alation, OpenMetadata).
• Experience with data observability or monitoring tooling (e.g. Monte Carlo, Coralogix, custom metrics/alerting).
• Exposure to ML/AI pipelines, model registries, feature stores, and monitoring (e.g. MLflow, Evidently).
• Experience defining and operating data products with SLAs, contracts, and clear ownership.

• Develop and monitor credit risk strategies, balancing risk against returns. These strategies may cover a variety of different channels and products, and cover the full credit lifecycle, from new business to Collections
• Develop and maintain frameworks to monitor portfolio risk performance, ensuring it’s within agreed risk appetite; transforming data into recommendations
• Lead analytical deep-dives into portfolio trends and emerging risks
• Represent risk to the wider business, driving changes via the product team and
• presenting analytical work to senior management
• Identify and deliver risk performance improvements across Liberis’s existing and new products globally - from pricing adjustments to policy changes
• Closely collaborate with colleagues across Liberis, especially in the Analytics, Data Science, Partnerships, Pricing and UK/US/European teams

• 2–4 years of experience in an analytical role working on credit risk strategies, portfolio analysis, or lending products
• Demonstrated ability to identify emerging risks and propose practical actions or strategy changes based on data
• Evidence of taking ownership of analyses and driving work through to recommendations and outcomes
• Good commercial awareness - able to balance risk and return when forming recommendations
• Experience working across functions - comfortable managing stakeholders at different levels, presenting risk recommendations to product, commercial, or leadership teams, and adapting your message to the audience
• Hands-on experience with data (SQL, Python, SAS or similar), strong Excel skills, Google Cloud Platform tools (Looker, dbt, Big Query) or Power BI
• Clear communication skills, with the ability to explain complex findings simply and persuasively

What happens next?

Think this sounds like the right next move for you? Or if you’re not completely confident that you fit our exact criteria, apply anyway and we can arrange a call to see if the role is fit for you. Humility is a wonderful thing, and we are interested in hearing about what you can add to Liberis!

Our hybrid approach

Working together in person helps us move faster, collaborate better, and build a great Liberis culture. Our hybrid working policy requires team members to be in the office at least 3 days a week, but ideally 4 days. At Liberis, we embrace flexibility as a core part of our culture, while also valuing the importance of the time our teams spend together in the office.

 #LI-CG1 

As a Customer Data Scientist at Datadog, you will partner directly with customers to help them design, execute, and scale high-impact experimentation programs. This role is ideal for someone with deep experience in applied experimentation who thrives in customer-facing environments and is motivated by driving measurable business outcomes. You will guide customers through experiment design, metric development, and data validation, helping them build trustworthy, decision-driven experimentation practices. Working cross-functionally with Sales, Product, and Engineering, you’ll play a key role in both customer success and product evolution.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Serve as a technical and analytical partner to customers across pre-sales and post-sales engagements, demonstrating the value of Datadog’s experimentation capabilities
• Support proofs of concept by helping customers define metrics, validate data pipelines, and design statistically sound experiments
• Educate customers on best practices in experiment design and interpretation across product, marketing, pricing, and AI-driven use cases
• Enable long-term customer success by building strong experimentation practices and analytical rigor within their teams
• Collaborate with Product and Engineering to translate customer feedback into product improvements and roadmap input
• Partner with Sales and Solutions teams to navigate complex customer needs, address objections, and build trusted relationships

Who You Are:

• 4+ years of experience in data science with a strong foundation in statistics, causal inference, and experimental design in applied business or product contexts
• Hands-on experience running A/B tests and applying advanced experimentation methods such as holdouts, bandits, synthetic controls, or geo-based testing
• Fluent in SQL and comfortable working with data warehouses and pipelines to diagnose and resolve data quality issues
• Experienced in customer-facing, consulting, or pre-sales environments, with the ability to communicate complex ideas clearly to diverse audiences
• Skilled at translating analytical insights into business impact, influencing decisions across technical and non-technical stakeholders
• Experience with experimentation platforms, analytics tooling, or modern data stack technologies (e.g., dbt, Airflow) is a plus

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

 
Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture
  
  

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Spaulding Ridge is an advisory and IT implementation firm. We help global organisations get financial clarity into the complex, daily sales and operational decisions that impact profitable revenue generation, efficient operational performance, and reliable financial management.

At Spaulding Ridge, we believe all business is personal. Core to our values are our relationships with our clients, business partners, team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation.

We are looking for a Data Engineer to join our excellent Data Solutions team in London.

We implement data analytics platforms for our customers based on the Modern Data Stack approach, leveraging tools like Workato/Boomi, Snowflake/BigQuery/Microsoft Fabric/Databricks, dbt and Sigma/Omni/Looker. We are a Consulting Partner of those technologies, so we are in close contact with their Sales and Solutions teams to support customers in testing, implementing and adopting those tools.

Our clients range from the hottest scale-ups in Europe to famous public enterprise companies.

The role

• Model data as an Analytics Engineer in tools like dbt to create business logic from raw data.
• Assess clients' data infrastructure, identify improvements, and propose creative solutions and designs to tackle their challenges.
• Evaluate and design several data model pipelines for specific use cases and deliver technical presentations.
• Understand and manage modern Data Warehouses like BigQuery and Snowflake (schema structures, access control, performance, costs).
• Manage data ingestion through managed ELT tools like Workato, Boomi, and Fivetran as a first approach to data integration; custom data pipelines deployment based on cloud services is a plus.
• Get certified in our core technologies if you aren’t yet, mainly Snowflake SnowPro Core, Google Cloud Professional Data Engineer, and/or dbt Certified Developer.
• Deliver training, technical presentations, and co-development sessions with customers to help them implement a Data Stack.
• Participate in pre-sales conversations with prospective clients to define the scope and estimate the work for the project.
• Stay up-to-date to help customers prepare for using new features. Learn new tools at the advanced level and help customers do the same.
• Think beyond the task at hand; understand how our customers define their own success with the tool and help them work toward that goal.
• Share your knowledge, support the internal team, and learn from your peers on internal office hours and individual sessions.

You have

• Relevant experience modelling data, manipulating datasets, managing data warehouses, and high proficiency in SQL.
• Programming experience, ideally in Python, but other languages considered.
• Experience with any Cloud Provider (Azure and GCP preferred) and their respective data services.
• Experience with Git, CI/CD, and Infrastructure as code (like Terraform).
• Knowledge of any BI tool such as Omni, Sigma, Looker, PoweBI, etc.
• Self-motivation to study, discover new products and technologies in the data landscape.
• Ability to speak and write in English (fluently). The vast majority of our projects are delivered in English.
• Experience in delivering technical presentations.

#LI-DR1

The Mission

We are building more than a calculation engine; we are building an integrated global financial ecosystem. As a Principal Engineer, you will own the end-to-end lifecycle of payroll data—from the moment an employee is onboarded in a third-party HRIS, through our deterministic bitemporal calculation engine, to the final generation of global payment files and statutory reporting.

You are an architect who writes code, a data engineer who understands state, and an integration expert who knows that a payroll system is only as good as the data flowing into it.

The Stack

• Core Engine & Data: Python (NetworkX, Pydantic, Decimal), PostgreSQL (Bitemporal modeling, dbt for analytics).
• Integrations & Pipelines: Node.js/TypeScript, Event-sourced architecture (Message Queues, Webhooks).
• The Ecosystem: Deep integrations with HRIS/HCMs (Workday, HiBob, BambooHR) and Ebury’s Payments architecture.
• AI-Augmentation: Claude Code for development and AI-driven data extraction.

What You’ll Own (The End-to-End Scope)

1. The Calculation Engine: Design the DAG-based resolver and bitemporal logic to handle complex, multi-jurisdictional payroll math with 100% accuracy.
2. Data Ingestion & Transformation: Architect the pipelines that ingest messy, unstructured data from fragmented HRIS sources and transform it into our deterministic PayrollRuleSchema.
3. Third-Party Integrations: Build robust, API-first connectors and "Outbox" pattern event systems to sync data across the global HR/Fintech stack.
4. The Payment & Reporting Rail: Own the generation of complex output artifacts—from ISO 20022 payment files to localized tax filings and GL (General Ledger) reports.
5. Bitemporal Data Strategy: Ensure the entire data lake supports "As-Of" reporting, allowing users to reconstruct the state of any payroll run at any point in history.

Your Pedigree

• The Full-Stack Backend Mindset: You are equally comfortable optimizing a recursive SQL query as you are designing a resilient webhook listener or a topological sort algorithm.
• Data Pipeline Veteran: You have experience with ETL/ELT patterns, data validation frameworks, and ensuring Exactly-Once processing in financial systems.
• Domain Expertise: You’ve built at Deel, Rippling, Papaya Global or similar Tech-first Global Payroll and Payments company, and you understand that "Integrations" aren't just about APIs—they’re about mapping conflicting data models across cultures.
• Architectural Leadership: You can bridge the gap between "Product needs this integration tomorrow" and "Our data model needs to remain pure for the next 5 years."

The "Hard" Requirements

• Deep Polyglot Backend Skills: Expertise in Python (for the engine) and Node.js/TypeScript (for the integration layers).
• PostgreSQL Mastery: You understand bitemporality, window functions, and how to manage schema evolution in a multi-tenant SaaS environment.
• Location: London (Preferred), Madrid, or Malaga (4 days/week in-office).

📍Cardiff, London or Remote (UK)  | 💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Financial Health Team:

We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty. 

As a Senior Data Analyst, you’ll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We’re looking for an experienced Senior Data Analyst with hands-on experience who can bring fresh thinking and new ways to inspire the team and our customers.

What you’ll be working on:

As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.

At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly. 

Our mission is to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. Our Borrowing business is growing rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. 

Your day-to-day:

• Generate insights that can drive the direction of our Financial Health strategy through proactive analysis
• Bring data-driven rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
• Work and advise on Financial Health’s global expansion strategy
• Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health
• Ensure accurate reporting to third parties and regulators
• Build and maintain controls to ensure our business processes are running as intended 
• Lead projects to improve the accuracy, efficiency and accessibility of our data

Locations & flexible working:

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable.

We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.

Work the way that works for you at Monzo! 💼

Our technology stack:

Our Data team's mission is to Enable Monzo to Make Better Decisions, Faster

At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science
• Go to write our application code
• AWS for most of our backend infrastructure

You should apply if:

• What we’re doing here at Monzo excites you!
• You are passionate about using data to improve and inform business decisions
• You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions
• You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same
• You have a solid grounding in SQL 
• Experience in Financial Health is a plus, but not required.

We're on the look out for L40 Senior Data Analysts at the moment, you can read more in our Data Progression Framework

The interview process:

Our interview process involves 4 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute initial call 
• Take home task
• 2 x 1-hour video calls, including a technical case study

Our average process takes around 3-4 weeks but we will always work around your availability. 

What’s in it for you:

💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits 

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

#LI-LG1  #LI-Remote

📍Cardiff, London or Remote (UK)  | 💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Financial Health Team:

We are scaling up our Data and Credit team to support the rapid growth and evolution of our portfolio. We are looking for a Senior Data Analyst to join our Financial Health squad who are focused on supporting customers in financial difficulty. 

As a Senior Data Analyst, you’ll be working in collaboration with Product, Data Science and Analytical Engineering peers on data-driven insights and initiatives. We’re looking for an experienced Senior Data Analyst with hands-on experience who can bring fresh thinking and new ways to inspire the team and our customers.

What you’ll be working on:

As a Senior Data Analyst you will partner with Product Managers, Engineers, and Data Scientists in an agile product environment. You’ll champion the use of data and bring ideas to life through a rigorous analytical approach. Your work will focus on improving the support we offer to customers in financial difficulty, ensure our operational processes are well controlled and we meet regulatory requirements.

At Monzo we believe there’s a better way to do banking - we care deeply about our customers, are innovative and execute quickly. 

Our mission is to revolutionise the way people manage their finances by putting them in control and promoting their financial wellbeing. Our Borrowing business is growing rapidly (both on our existing products, and with the planned launch of new products). We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. 

Your day-to-day:

• Generate insights that can drive the direction of our Financial Health strategy through proactive analysis
• Bring data-driven rigour to our approach to product development and build a strategic understanding of the business while structuring complex projects to bring them to life
• Work and advise on Financial Health’s global expansion strategy
• Develop and maintain Looker dashboards, reports and metrics that assess business and customer outcomes within Financial Health
• Ensure accurate reporting to third parties and regulators
• Build and maintain controls to ensure our business processes are running as intended 
• Lead projects to improve the accuracy, efficiency and accessibility of our data

Locations & flexible working 

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable.

We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.

Work the way that works for you at Monzo! 💼

Our technology stack:

Our Data team's mission is to Enable Monzo to Make Better Decisions, Faster

At the core of this mission sits our data platform. We're great believers in powerful, real-time analytics and empowerment of the wider business. Our engineers collect analytics events from their microservices, and upload these into our Data stack for analysis. We optimise for simplicity and re-usability – all our data lives in one place and is made available via our data warehouse in Google BigQuery.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science
• Go to write our application code
• AWS for most of our backend infrastructure

You should apply if:

• What we’re doing here at Monzo excites you!
• You are passionate about using data to improve and inform business decisions
• You’re motivated by solving challenging problems, and communicating and collaborating closely with subject matter experts on those solutions
• You’re excited by the opportunity to work autonomously to impact the future of a fast growing, ever evolving business
• You’re as comfortable getting hands-on as taking a step back and thinking strategically
• You are experienced with using a variety of Data Analysis tools. You know when to pick the right tool, and can help others do the same
• You have a solid grounding in SQL 
• Experience in Financial Health is a plus, but not required.

We're on the look out for L40 Senior Data Analysts at the moment, you can read more in our Data Progression Framework

The Interview Process:

Our interview process involves 4 main stages. We promise not to ask you any brain teasers or trick questions!

• 30 minute recruiter call 
• 45 minute initial call 
• Take home task
• 2 x 1-hour video calls, including a technical case study

Our average process takes around 3-4 weeks but we will always work around your availability. 

What’s in it for you:

💰 £76,000 to £95,000 + Incentive Awards tied to your performance + Benefits 

✈️ We can help you relocate to the UK 

✅ We can sponsor visas

📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

#LI-LG1  #LI-Remote

The Community You Will Be Part Of: 

Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory.

The Difference You Will Make:

This Advanced Analytics role will develop and lead initiatives focused on ensuring we have the right international growth strategy. They will lead measurement, build tools, and develop insights leveraging a wide range of internal and external data sources to ensure the business is making the right decisions for both strategic direction and tactical execution.

The ideal candidate is someone with a strong data and analytics background. This person is curious, engaged, positive, and detail- and solutions-oriented. The world— and thus our industry— is changing quickly so the ideal candidate will be comfortable with responding promptly and changing course as needed when priorities and reporting needs shift. 

This role will be expected to be highly collaborative, and work regularly with multiple stakeholders and cross functional partners across Regional Teams, Policy, Supply, Finance, Data Science, Operations, Engineering, and Marketing.

The right candidate will already be recognized as a leader in the data and analytics field at this level, with a proven track record of using a range of strategies and disciplines to solve complex and ambiguous measurement problems for business teams. This person will also use their considerable experience with data and insights storytelling to influence large-scale strategic programs, and  be adept at leveraging AI technologies to accelerate and raise their craft.

You must be comfortable working in a global company, delivering counsel and guidance to senior leadership across the team and organization. The successful candidate will have solid experience creating internal advocacy and influencing multiple senior audiences on hard to communicate topics.

The Team You Will Join: 

The Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power Airbnb's international growth in 2026 and beyond. This is a greenfield opportunity to shape how global teams make nimbler decisions, moving from HQ-dependent reporting cycles to fast, local, data-driven action.

This role will partner directly with Global Markets regional teams combined with Finance and Supply to surface local insights, build scalable tooling, and drive measurable impact on core business metrics. The ideal candidate brings deep technical rigor, strong business instincts, and a bias toward proactively building things—not just analyzing them.

A Typical Day:                    

• Build and maintain self-service analytics tools and dashboards that help country teams monitor performance and act on local signals                                    
• Partner with regional leads to translate business questions into clear analytical frameworks and actionable insights                                                    
• Support measurement for local marketing programs — campaign tracking, incrementality testing, and MMM contributions                                                     
• Analyze international market data to identify and size growth opportunities across supply, demand, and behavioral signals                                               
• Collaborate with Engineering, Marketing, and Research to deliver on data and tooling needs within shared roadmaps                                                       
• Provide analytical support for local growth levers (incentives, promotions, merchandising) including targeting and measurement                                                                                                                                         

Your Expertise:                                                                                                                                                                                                                                                                                                                                 

• 4+ years in data science, analytics, or business intelligence — marketplace, e-commerce, or global consumer tech preferred
• Expert SQL; proficiency in Python or R                                                                                                                             
• Hands-on experience with A/B testing, causal inference, and incrementality measurement                                                                                  
• Experience building self-service data products used by non-technical stakeholders                                                                                      
• Familiarity with international / multi-market analytics contexts                                                                                                        
• Strong data storytelling — able to communicate findings clearly to business and senior audiences                                                                        
• Collaborative, low-ego, and execution-oriented; you measure success by the decisions your work influences                                                               
• Comfortable with modern data stack tools (dbt, Airflow, Tableau, Looker, or equivalent)                                                                                                                                                                                          

Nice to Have:                                                                                                                                                             

• Supply/demand or geo-based analytics experience                                                                                                                         
• Growth marketing analytics (SEM, paid social, performance channels)
• Familiarity with MMM, attribution, or campaign measurement frameworks                                                                                                   
• Awareness of AI/LLM trends and implications for organic traffic and demand      

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

The Community You Will Be Part Of: 

Airbnb, a leader in travel and hospitality, is on a mission to create a world where anyone can belong anywhere. We offer unique accommodations and experiences, crafted and curated by locals. As we expand into new marketplaces for in-person experiences and services, we are on the lookout for driven and innovative individuals to help shape our growth trajectory.

The Difference You Will Make:

This Advanced Analytics role will develop and lead initiatives focused on ensuring we have the right international growth strategy. They will lead measurement, build tools, and develop insights leveraging a wide range of internal and external data sources to ensure the business is making the right decisions for both strategic direction and tactical execution.

The ideal candidate is someone with a strong data and analytics background. This person is curious, engaged, positive, and detail- and solutions-oriented. The world— and thus our industry— is changing quickly so the ideal candidate will be comfortable with responding promptly and changing course as needed when priorities and reporting needs shift. 

This role will be expected to be highly collaborative, and work regularly with multiple stakeholders and cross functional partners across Regional Teams, Policy, Supply, Finance, Data Science, Operations, Engineering, and Marketing.

The right candidate will already be recognized as a leader in the data and analytics field at this level, with a proven track record of using a range of strategies and disciplines to solve complex and ambiguous measurement problems for business teams. This person will also use their considerable experience with data and insights storytelling to influence large-scale strategic programs, and  be adept at leveraging AI technologies to accelerate and raise their craft.

You must be comfortable working in a global company, delivering counsel and guidance to senior leadership across the team and organization. The successful candidate will have solid experience creating internal advocacy and influencing multiple senior audiences on hard to communicate topics.

The Team You Will Join: 

The Global Markets & Policy Advanced Analytics team is building the data infrastructure, measurement systems, and self-service tools that will power Airbnb's international growth in 2026 and beyond. This is a greenfield opportunity to shape how global teams make nimbler decisions, moving from HQ-dependent reporting cycles to fast, local, data-driven action.

This role will partner directly with Global Markets regional teams combined with Finance and Supply to surface local insights, build scalable tooling, and drive measurable impact on core business metrics. The ideal candidate brings deep technical rigor, strong business instincts, and a bias toward proactively building things—not just analyzing them.

A Typical Day:                    

• Build and maintain self-service analytics tools and dashboards that help country teams monitor performance and act on local signals                                    
• Partner with regional leads to translate business questions into clear analytical frameworks and actionable insights                                                    
• Support measurement for local marketing programs — campaign tracking, incrementality testing, and MMM contributions                                                     
• Analyze international market data to identify and size growth opportunities across supply, demand, and behavioral signals                                               
• Collaborate with Engineering, Marketing, and Research to deliver on data and tooling needs within shared roadmaps                                                       
• Provide analytical support for local growth levers (incentives, promotions, merchandising) including targeting and measurement                                                                                                                                         

Your Expertise:                                                                                                                                                                                                                                                                                                                                 

• 4+ years in data science, analytics, or business intelligence — marketplace, e-commerce, or global consumer tech preferred
• Expert SQL; proficiency in Python or R                                                                                                                             
• Hands-on experience with A/B testing, causal inference, and incrementality measurement                                                                                  
• Experience building self-service data products used by non-technical stakeholders                                                                                      
• Familiarity with international / multi-market analytics contexts                                                                                                        
• Strong data storytelling — able to communicate findings clearly to business and senior audiences                                                                        
• Collaborative, low-ego, and execution-oriented; you measure success by the decisions your work influences                                                               
• Comfortable with modern data stack tools (dbt, Airflow, Tableau, Looker, or equivalent)                                                                                                                                                                                          

Nice to Have:                                                                                                                                                             

• Supply/demand or geo-based analytics experience                                                                                                                         
• Growth marketing analytics (SEM, paid social, performance channels)
• Familiarity with MMM, attribution, or campaign measurement frameworks                                                                                                   
• Awareness of AI/LLM trends and implications for organic traffic and demand      

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

Job Title: Forensic Psychologist
Banding: Equivalent to Band 8a
Location: Near Hastings, East Sussex
Working Hours: Part-time – 2 to 3 days per week
Salary: Up to £55,000 per annum (pro rata)

Pulse is recruiting a Forensic Psychologist on behalf of our client for a part-time role in a specialist mental health hospital in Bexhill-on-Sea. This is a rewarding opportunity to work across acute and secure wards, supporting adults with complex needs in a collaborative and well-established multidisciplinary team. The role offers flexibility, autonomy, and a competitive salary of up to £55,000 pro rata.

What you’ll be doing
You’ll provide psychological assessments and evidence-based interventions, contribute to care planning and risk management, and support the wider team through consultation and formulation. You’ll also have the opportunity to deliver both individual and group therapy, and play an active role in service development.

Benefits include:

• Flexible working pattern (2–3 days per week)
• Competitive salary up to £55,000 (pro rata)
• Supportive MDT environment
• CPD and training opportunities
• Coastal location with good transport links

What we’re looking for
You’ll need HCPC registration as a Forensic Psychologist and experience working with adults in mental health or forensic settings. Strong formulation and assessment skills are essential, along with a collaborative approach to MDT working.

Additional experience in CBT, DBT, CAT or group therapy is desirable, as is experience in secure or inpatient settings. If you don’t meet every requirement but feel this role suits your skills, we’d still love to hear from you.

How to apply
Apply via the Pulse website. A member of our recruitment team will be in touch to guide you through the next steps.

Why work with Pulse

• Specialist support from experienced recruiters
• Access to exclusive roles across the UK
• Streamlined onboarding and compliance
• Ongoing career guidance and development

Reasonable adjustments
We’re committed to inclusion. If you need any adjustments during the application or interview process, just let us know — we’re here to support you.

Job Title: Eating Disorders Psychologist
Band: 7
Hours: 22.5 hours per week
Location: London, Greater London
Rate: Competitive, to be discussed upon application

An exciting opportunity has arisen for a Psychologist specialising in eating disorders to join our esteemed NHS client’s dynamic team based in London, Greater London. This position is available for an immediate start, offering competitive rates.

Key Responsibilities:

The Psychologist will provide psychological assessments and interventions for children and adolescents with eating disorders, working as part of a multidisciplinary team. They will offer therapeutic support, develop treatment plans, and liaise with other healthcare professionals to ensure coordinated care. The psychologist will utilise Dialectical Behaviour Therapy (DBT) techniques to support patients in managing their eating disorders. Additionally, they will participate in service and business planning activities, maintain professional registration with the Health and Care Professions Council (HCPC), and comply with the Trust’s policies and procedures.

Qualifications and Experience:

• Relevant degree or equivalent qualification in Psychology.
• Full registration with the Health and Care Professions Council (HCPC).
• Expertise in psychological assessments and interventions for eating disorders.
• Strong experience with Dialectical Behaviour Therapy (DBT).
• A high level of clinical skills as evidenced by peer review and reports.
• Evidence of incorporating core values of commitment, trust, integrity, and kindness into their work with others.
• Willingness to work flexibly across a range of clinic models, venues, and days of the week.
• Good communication skills and level of IT literacy.
• An interest to advance professionally as evidenced by attendance and contribution to reflective practice meetings, reliability meetings, and/or other CPD events within their professional clinical practice.
• Strong communication and interpersonal skills.
• Commitment to Continuing Professional Development (CPD).

How to Apply:

If you are a dedicated professional looking to advance your career and make a meaningful impact in the field of psychology, we would love to hear from you. Please submit your CV below to apply. If you are registered with Pulse and recommend a friend to us, you can earn £300 per recommendation once they have worked over 200 hours*.

Why Work with Pulse:

From the moment you register with us, our focus is entirely on you. During our initial conversation, you’ll quickly see that we understand your speciality inside and out. Our expert recruitment consultants are committed to finding you the best opportunities and supporting you every step of the way to secure the perfect placement. With our preferred or sole supplier status with many clients, you’ll have access to exclusive opportunities that you won’t find anywhere else.

We always prioritise your best interests, engaging in meaningful conversations and truly listening to you. You are an individual, a professional—not just a resource.

Reasonable Adjustments:

If you consider yourself to have a disability or require any reasonable adjustment during the recruitment process or within the workplace, please highlight this at the earliest opportunity by contacting our team. With this information, we will provide appropriate support to you throughout the process and into your work placement.

We are unable to support or accept applications from candidates who are residents within the Red or Amber list of the Code of practice for the international recruitment of health and social care personnel in England based on the World Health Organisation (WHO) Workforce Support and Safeguard List.

📍 Barcelona, Spain | 💰€93,500 - €126,500 + Benefits | Hear from the team ✨

⭐Our Borrowing team

Our Mission in Borrowing is to enable people's financial goals through better borrowing. Our customers look to borrow money to enable them to achieve something in their lives - whether that’s making a big life event affordable, buying something they need now without affecting their monthly budget, or getting by until payday. And we’re looking to shape this mission by building products that our customers love, whilst scaling those top revenue lines across the business safely. 

Data is crucial to the success of this mission and Borrowing Analytics Engineers are at the core of how we build, scale and re-architect our Borrowing Data Warehouse to enable Monzo to make better decisions, faster, and help serve Monzo’s customers better. 

⭐ Our Analytics Engineering team

Our Analytics Engineering discipline works in the intersection between data, engineering and our collectives - Money, Borrowing, Operations and Financial Crime and beyond. 

The AE teams are responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building a reliable and scalable Data Warehouse to support decision making in a cost effective and performant manner. 

Managers within Data have two primary responsibilities; people and technical products. Your focus will be on helping engineers with their personal and professional development, listening and guiding them through hard times and celebrating their successes. You will also be leading and participating directly in technical initiatives and helping Monzo shape its Data organisation, ensuring the team focuses on valuable work, shipping things with a level of care and attention to detail.

There will be a strong focus on delivering best practice across all of our data discipline and helping bring a new level of maturity around Data Governance principles, working in collaboration with others to deliver this.

🔑 You’ll play a key role by...

Working in a multi-disciplinary team, you will:

• Be a hands on leader in building a discipline of exceptional analytics working to make Data at Monzo the gold standard within the industry.
• Nurture between 6  and 7 engineers, supporting, coaching and developing high performing engineers through regular 1:1s, continuous feedback and relationships with others.
• Aid prioritisation of initiatives and projects, working closely with other leads for each of our Monzo collectives.
• Be hands on through participating in the review cycle, architecture and design leadership and development of your own changes to the pipelines
• Be part of the hiring team within Analytics Engineering
• Work closely with other leads to deliver a scalable, consistent approach to governance and best practices.
• Drive effective project management of central Analytics Engineering projects, ensuring they’re well scoped and delivered to deadlines.
• Establish yourself as a trusted partner to various collectives and the leadership team, with the capacity for getting things done, be it either hands-on or by leading others.
• We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role

🤩 We’d love to hear from you if…

You have experience managing or mentoring the performance and development of high-performing engineers.

• You have strong experience in data warehousing architecture at scale
• You have experience and a passion for leading data warehousing, data visualisation, big data or ETL projects as an analyst, developer, designer or architect.
• You know what it takes to hire great engineers within the data space.
• You’re equally comfortable working hands on and leading a team.

Nice To Haves:

• Any experience working within a finance or banking environment
• Experience working in a highly regulated environment (e.g. finance, insurance, gaming, food, health care).
• Experience with any of our stack of dbt, BigQuery and Looker

Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything thats listed just yet. Drop us your application, we’d love to hear from you!

🙌 What’s in it for you

💰Base salary range for this role is dependent on experience + benefits 

📍Barcelona, Spain

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 

📚 £1,000 learning budget each year to use on books, training courses and conferences.

🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. 

➕ Plus lots more! Read our full list of benefits.

🌈 The application journey has 3 key steps

Recruiter Screening Call

Initial Call

Final Loop (3 sessions - case study, collaboration and people leadership)

This process should take around 2-3 weeks - your schedule is really important to us, so we promise to be as flexible as possible! 

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

For more insight into the AE team at Monzo, check out our podcast with John Azzopardi one of our Senior Leaders in AE 

#LI-AS #LI-Remote

📍London  | 💰 £78,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

Our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team (CIF) sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk.

Within CIF, we are scaling up our Forecasting modelling and execution team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of forecasting and stress testing models across both well established and emerging products.  Additionally the successful individual will have a key role in executing these models across high profile budgeting & stress-test exercises and building up our toolkit to quantify the impact of various strategic decisions for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling.  Prior experience developing credit risk forecasting models is desirable, but relevant model development / validation experience in IRB modelling, IFRS9 or scorecard models will also be considered. Experience as a ‘model user’ of forecasting models in the context of budgeting or stress-testing would be helpful but is not required.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, model implementation and data visualisation (via streamlit)
• Github for version control

Your day-to-day responsibilities:   

• Assist with continuous improvement of forecasting models via new developments or recalibrations.
• Construction of grounded overlays, where required, to quantify effects of future strategy changes or address known model limitations
• Furthering the development and execution of forecast model monitoring to inform an effective prioritisation of model improvements
• Presenting forecast model results to senior management
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

You should apply if:

• You have a background in forecast modelling or execution
• You have relevant experience in the development and implementation of credit models (e.g IFRS9 / Forecasting / IRB)
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and Python are our desired coding languages but experience in SAS/R will be considered. A data visualisation tool (such as Streamlit or Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on

The Interview Process:

Our interview process involves 4 main stages: 

1. Initial call with a member of the Forecasting team
2. Technical modelling interview 
3. Values and collaboration behavioural interview
4. A live case study problem solving interview

Our average process takes around 3-4 weeks but we will always work around your availability. 

What’s in it for you:

💰 £78,000 to £95,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✈️ We can help you relocate to the UK

✅ We can sponsor visas

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here 

#LI-LG1  #LI-Remote

 📍London  | 💰 £58,000 to £78,000 +  Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk.

We are scaling up our Impairments modelling team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of IFRS 9 models (PD, LGD, EAD, macroeconomic models) across both well established and emerging products.  Additionally the successful individual will have oversight of model performance, construction of PMAs/model overlays where required, model implementation, and impairment analytics for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling and IFRS 9 provision methodology.  Prior experience developing IFRS 9 models is desirable, but model development experience in IRB modelling, stress testing or scorecard models will also be considered.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, and model implementation

Your day-to-day responsibilities:   

• Assist with end-to-end development and maintenance of IFRS 9 models (PD, EAD, LGD)
• Construction of post-model adjustments / model overlays as and when required
• Implementation of new models 
• Development and maintenance of economic-response models for scenario simulation and impairment 
• Enhancement of model monitoring and month-end ECL reporting and analytics
• Presenting modelling results to 1LOD and 2LOD risk forums/committees 
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

How we work:

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable.

We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.

Work the way that works for you at Monzo! 💼

You should apply if:

• You have a background in IFRS 9 impairments
• You have end to end experience in the development and implementation of credit models (e.g PD, LGD, EAD). 
• You have experience in monitoring ECLs and conducting driver analyses 
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and either Python or R is a must-have, a data visualisation tool (such as Tableau, PowerBI, Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on

The Interview Process:

Our interview process involves 4 main stages: 

1. Initial call with a member of the impairments team
2. Technical IFRS 9 interview 
3. Values and collaboration behavioural interview
4. A live case study problem solving interview

Our average process takes around 3-4 weeks but we will always work around your availability. 

What’s in it for you:

💰 £58,000 to £78,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✅ We can sponsor visas

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here 

We are seeking a Lead Data Engineer to join our Marketing Intelligence & Reporting team, responsible for overseeing our data engineering function and its associated workstreams across Omnicom’s global client portfolio.

The ideal candidate will possess a strong technical background in the data engineering sector, with proven expertise in the collection, processing, and analysis of large-scale media datasets. Experience in designing, deploying, and managing data warehouses on cloud platforms is essential. This is an excellent opportunity for someone keen to collaborate with both regional and global clients, and to drive best practices and product innovation across our network of agencies.

Key Responsibilities

• Engage, upskill and nurture the Data Engineering team to drive and foster a high engagement culture.

• Be the key voice on the core design of our data engineering product and data architecture whilst leading the team to implement the plan.

• Be a key stakeholder on our cloud-based infrastructure, providing expertise and recommendations on the best opportunities to innovate, adhere to best practices and develop the underlying technology.

• Work with the BI team to design functional standardised data solutions that can be rolled out across Annalect EMEA’s clients.

• Lead in designing, building and maintaining data pipeline architecture for ELT/ETL.

• Explore the use of AI within our data engineering solutions

• Participate in running a community of data engineering specialists across the EMEA region

• Contributing to pitch content and scope for new work and solutions for prospective and current clients.

Skills & Experience

· 5+ years’ experience in data engineering teams, ideally in a global or fast-paced environment.

· 2+ years’ experience leading data engineering teams

· 5+ years’ experience with modern data platforms in the cloud. Experience with Google Cloud Platform is preferred, Microsoft Azure or AWS will also be considered.

· 5+ years’ experience in designing and implementing data architecture, ETL/ELT processes, and DevOps pipelines (including Docker, CI/CD, etc).

· 6+ years working with SQL and Python.

· 2+ years working with dbt, using advanced macros and templating.

· Knowledge of the media industry is essential

· Ability to translate business requirements into technical specifications and communicate these to various stakeholders.

· Ability to manage Git repositories and use the GitFlow Workflow, ideally through GitLab, and deployments into production environments.

Build the platforms. Lead the thinking. Shape the future of data for our clients.

Scopely is looking for a Senior Director, Data & Insights  to help power the continued success of Monopoly GO! This opportunity is open to candidates working remotely across the UK, Ireland, or Portugal, or in a hybrid setup from our Barcelona or Seville hubs.

At Scopely, we care deeply about what we do and want to inspire play every day - whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily.      

Monopoly GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. The team is based in Europe and the US, and works every day to create captivating new experiences for our players.     

As Sr. Director of Data & Insights, you'll lead three teams — Analytics Engineering, Data Science, and Product Analytics — each owned by a Director or Lead reporting to you. Your job is to operate above the day-to-day: set strategy, drive cross-functional alignment, and deliver a step-change in how the studio uses data.

Your north stars: speed (time-to-insight in minutes and hours, not days), access (every PM, designer, and marketer answers their own data questions without a ticket queue), and impact (translating data insight into actionable software improvements) 

AI-Forward Mandate

You'll set the AI vision and hold your organization accountable for embedding it across the org. We expect this leader to build the future of insight delivery, not just manage the present.

What You'll Own

You are the ultimate craft leader for Data & Insight and drive impact through the following areas: 

Analytics Engineering — via Director/Lead

• Define the vision and operating model for Analytics Engineering as the company scales
• Set the direction for the data platform (pipelines, warehouse, semantic layer), focusing on speed, reliability, and ease of use
• Drive the adoption of a data product mindset across all areas
• Push the shift toward AI-enabled workflows in analytics, both for how data is built and how it’s used
• Define how AI systems interact with our data, enabling simple, self-serve access for both technical and non-technical users
• Own the principles behind the metrics layer as a single source of truth across the company
• Maintain a strategic relationship with the central Scopely data function 

Data Science — via Director/Lead

• Set direction and provide feedback for the Data Science roadmap 
• Identify and bridge the gap in missing Data Science models and frameworks 
• Set expectations for how AI should enhance decision-making and operational workflows, and increase the ceiling is what’s possible with Data Science 

Product Analytics — via Director/Lead

• Align Product Analytics direction and roadmap with product strategy, ensuring insights directly inform roadmap decisions and prioritization
• Define the Product Analytics operating model (team structure, embedding, ways of working) to maximize impact and enable proactive, high-quality decision-making
• Set expectations for AI-enabled analytics, improving insight generation, scalability, and team productivity while maintaining rigor

Leadership Scope

• Directly manage 3 Director/Lead-level reports; indirectly lead 40+ analysts, engineers, and data scientists
• Coach and develop your direct reports
• Own the data roadmap and OKRs; serve as the data voice at the product executive level
• Build data literacy programs so non-technical partners can self-serve confidently

What We're Looking For

• 10+ years in data, analytics, or data science; 5+ years managing director-level leaders
• Proven track record in live-service mobile games or high-scale consumer apps
• Deep expertise in the modern data stack: dbt, Snowflake/BigQuery, Looker/Tableau/Hex
• Hands-on fluency with LLM patterns (RAG, agents, prompt engineering) and AI tooling deployment
• Strong command of experimentation design, causal inference, and ML systems in production
• Leads through delegation — comfortable owning strategy and outcomes without owning execution
• Exceptional communicator from SQL to C-suite; player-first and outcome-first mindset

Please ensure that the résumé/CV you attach is written in English.

Role: Data Engineer

Location: London office / Hybrid (2 days per week in the office)

Reporting to: Head of Data Engineering

The Role

Millions of people visit the Rightmove website every month. We have a huge amount of data about how people use the site, and what this means to our customers.

You’ll be joining our growing Data Engineer & Infrastructure team - a collaborative, high-performing group of engineers that uses this data to build the infrastructure that powers the UK’s favourite property site.

This is a hands-on engineering role, where you will implement and maintain the technical foundations on a modern GCP based data platform: from writing robust Python and SQL, to deploying infrastructure with Terraform, and ensuring our pipelines are reliable, secure, and efficient.

You take pride on executing the delivery of data engineering to the highest standards: building and maintaining batch and streaming data pipelines, managing ingestion and egress processes, supporting the analytics data layer that drives and powers all our reporting and insights to power our Products across the entire business.

This is an opportunity to join an inclusive, tight knit, high calibre engineering culture. Deepen your technical experience with a modern GCP stack, and apply your data engineering expertise to a platform used by millions every day.

What You’ll Be Doing

• Build and manage data pipelines that ingest, transform, and serve data across the business
• Contribute to the design and implementation of cloud-based infrastructure using Terraform
• Work on complex data challenges, balancing short-term delivery with long-term platform evolution
• Collaborate with data product owners and stakeholders to collect and refine data requirements
• Optimise data storage, infrastructure performance, and cost within our data platform
• Support the analytics data layer by enabling clean, reliable data for downstream use in Looker and BigQuery
• Collaborate with analytics engineers, analysts, and data scientists to support their data use cases
• Contribute to the evolution of our self-serve data platform and the implementation of our data strategy
• Participate in agile ceremonies, including sprint planning, refinement, and retrospectives
• Promote and practice excellent data and cloud engineering best practices, including testing, documentation, and observability
  
  

We're Looking For Someone Who

• Has 3–5 years of proven experience in data engineering, working on production-grade data pipelines and infrastructure within a large-scale, cloud-based data platform
• Has worked in a complex organisation with a mature or evolving data platform (e.g. BigQuery, Looker)
• Has strong Python coding skills and is confident writing complex SQL queries
• Has demonstratable experience, using Terraform to successfully manage infrastructure as code in a large scale platform
• Has hands-on experience with GCP (BigQuery, GCS, Dataflow, Cloud Composer) or AWS (Redshift, S3, AWS Glue)
• Experience with dbt and understands data modelling principles and best practices
• Deep understanding of data storage, modelling, and orchestration concepts
• Has demonstratable experience setting up and managing data pipelines end-to-end
• Brings a collaborative and curious mindset, and enjoys working in cross-functional teams
• Optimistic, curious and gets excited by tech, enjoys keeping up with current trends. Actively gets involved and enjoys contributing to tech events
• Is proactive, communicative, and comfortable contributing to technical discussions and design decisions
• Experience working with version control (Git) and CI/CD practices
• Awareness of data quality, privacy, and security best practices
• Knowledge of GDPR and data security best practices, as well as frameworks for testing, monitoring, and alerting in relation to data pipelines

Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical and patient-centric datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry and patient-centric data to advance the future of medicine.

In this role, you will:

• Build, scale, and operate a data platform. You will be a member of the platform team responsible for building, operating, and tuning a data platform that allows users to discover and query across the breadth of our data at Recursion, which includes a chemistry library of billions compounds, petabytes of cellular microscopy images taken in millions of different experimental contexts, and millions of assay results, all supporting Recursion’s drug discovery.
• Build relatability into a heterogeneous dataset. At Recursion, we generate datasets based on a wide swath of diverse biological models and treatment approaches. You'll work with biologists, chemists, and data scientists to build relatability and query-ability into these datasets so they can be used in the future to answer the sorts of questions we haven't even thought of asking yet.
• Act as a mentor, coach, and sponsor. You will share your technical knowledge and experiences, delivering impact, learning, and growth across teams at Recursion.

The Team You’ll Join

• You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine learning problems, and teams building and iterating on new data processing pipelines.

The Experience You’ll Need

• 5+ years of deep experience in modern, cloud-based data engineering. You have a proven track record of building and maintaining robust platforms that enable the discovery, query, and processing of large-scale datasets.
• Expertise in Core Technologies (Mandatory): You possess advanced proficiency in Python and SQL and experience with Containerization (Docker, Kubernetes), Infrastructure as Code (Terraform, etc.), and Agentic Development (Cursor, Claude, etc.)
• Data Fundamentals & Architecture: You have a deep understanding of Relational Databases (Postgres, MySql, etc.) and are proficient in working with data container files (e.g., Parquet, Avro, etc.). You are familiar with Medallion Architecture (Bronze/Silver/Gold) and know how to apply its principles to build scalable, reliable data products.
• Cloud & Platform Operations: You are seasoned in at least one major cloud provider (GCP, AWS, or Azure). You are comfortable in a "DevOps" capacity—specifically managing the infrastructure and tools that empower other engineers to run their pipelines, rather than focusing solely on building ETL flows.
• Hands-On: You understand the trade-offs between different architectures (Data Lake vs. Warehouse) and can make high-level decisions regarding CI/CD and system maintenance. Crucially, you are a "doer" who enjoys getting into the weeds of implementation, not only designing the blueprint.
• Collaborative Problem Solver: You thrive in environments with significant technical ambiguity. You can navigate complex systems and diverse technologies to deliver solutions that are easily monitored, quantified, and understood in production.
• People-First Mindset: You prioritize supporting your coworkers’ growth. We value a culture where meeting deadlines never comes at the expense of being a helpful, empathetic teammate.
• Intellectual Curiosity: While a background in drug discovery, biology, or chemistry isn't required, a drive to learn the domain and explore new technologies is essential!

• Cloud: Google Cloud Platform (GCP), GCS, Pub/Sub.
• Tools: dbt, Prefect, Argo Workflows, BigQuery, Snowflake, Fivetran, Datastream, AI/LLM (Cursor, Claude Code, and Gemini available).
• Infrastructure: Kubernetes, PostgreSQL, CI/CD (Argo).

Working Location & Compensation:

This position can be based at either our London or Milton Park office. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 - £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

#LI-EP1

Are you a Senior Data Engineer with a passion to build, support & maintain digital marketing solutions that offers real value? Are you interested in working with the largest global brands and complex challenges in the media analytics space? Then you might be the Senior Data Engineer we’re looking for!

What will your day look like?

As our new Senior Data Engineer, you will become part of our growing Data Insights and Science team. Here, you will employ new technologies across multiple cloud platforms to help successful brands reach their next level in 1:1 retargeting, communication, and CRM. More specifically, your tasks include:

• Identify, collect, and integrate data from various sources by building high-quality data pipelines and data models for analytics and business intelligence (BI) purposes.
• Develop and optimize code to enable pipelines at minimum cost and ease of maintenance.
• Build monitoring procedures & tools to ensure solid ETL flows and data quality.
• Design processes and tools to correct ETL incidents.
• Collaborate with CRM developers, data scientists, data analysts, and product owners to ensure the supplied data supports the business initiatives.
• Consult our data analytics teams to ensure best practices on the technical use of data are followed.
• Design data architectures and collaborate in data migrations in cloud environments. 

Who are you going to work with?

You will join a team of highly skilled Architects, Data Scientists, and Consultants who are passionate about unlocking insights from data through analytics. You will also get to work closely with experts from other Technology, Creative, and Client Teams.

What do you bring to the table?

As a person, you have a team player mindset and an open-minded attitude. You can communicate ideas and technical topics honestly and clearly – also to non-experts – while respecting the views of others on the team. You are eager to understand and find solutions, allowing you to quickly adapt to changing situations and come up with new ideas.

At the same time, you solve problems in an analytical and pragmatic manner.

Moreover, you have:

• Experience in data engineering, big data, business intelligence, or data science. 
• Experience in Spark, Python, Scala, or similar.
• Excellent SQL skills enabling large-scale data transformation and analysis.
• A comprehensive understanding of cloud data warehousing, data pipelines and data transformation (extract, transform, and load) processes and supporting technologies such as Google Dataflow, Looker, DBT, EMR, CI/CD Pipelines, Airflow DAGs, and other analytics tools.
• Experience with cloud-based data infrastructures (Ideally GCP, but AWS or Azure would also suffice)
• Programming experience in Javascript, Python, or similar.
• Expertise in managing databases, including performance tuning, backup, and recovery.
• Solid knowledge of data quality management best practices, including data profiling, data cleansing, and data validation
• Knowledge of strengths and limitations of visualization tools (e.g. PowerBI, Tableau, Looker, etc.) in terms of data modeling in the visualization tools.
• Understanding of versioning control tools like GitHub to changes related to dbt models and transformations, ensuring that changes are tracked, documented, and reviewed by the appropriate stakeholders.
• Knowledge of applying data governance principles, policies, and practices that ensure data accuracy, consistency, and security
• Knowledge of Kubernetes would be an advantage

Personal skills:

• Strong desire to contribute towards keeping data tidy and well-organized
• Ability to think critically, identify issues autonomously, and propose corrective actions.
• Build great relationships with your team and stakeholders

A leader in personalized customer experiences

VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities.

A global network

We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. 

#LI-EMEA

About the Customer Success Team

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customer’s business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value. You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customer’s organizations, help the customer manage change, execute on technical projects and services that delight our customers and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role

As a Customer Success Architect, you will partner with customers throughout the customer journey to understand what drives value, beginning from the pre-sales running proof of concepts to demonstrate quick time to value, to post-sales onboarding and implementation where you set customers up for long-term success with scalable implementation and data governance best practices. Throughout the entire customer lifecycle, you will work to understand how analytics can drive business value for your customers and will consult them on how to maximize the value of Mixpanel including managing change during Mixpanel’s rollout, defining and achieving ROI, and identifying areas of improvement in their current usage of analytics. For large enterprise customers, post onboarding, you will also continue alongside the Account Managers to drive data trust and product adoption for 100+ end user teams through a change management rollout approach.

Responsibilities

• Serve as a trusted technical advisor for prospects/customers to provide strategic consultation on data architecture, governance, instrumentation, and business outcomes
• Effectively communicate at most levels of the customer’s organization to influence business outcomes via Mixpanel, design and execute a comprehensive analytics strategy, and unblock technical and organizational roadblocks
• Own the customer’s success with Mixpanel — documenting and delivering ROI to the customer throughout their journey to transform their business with self-serve analytics
• Own onboarding and data health for your assigned customers/projects, including ongoing enhancements to their data quality and overall tech stack integration
• Engage with customers’ engineering, product management, and marketing teams to handle technical onboarding, optimize Mixpanel deployments, and improve data trust
• Deliver a variety of technical services ranging from data architecture consultations to adoption and change management best practices
• Leverage modern data architecture expertise to create scalable data governance practices and data trust for our customers, including data optimization and re-implementation projects
• Successfully execute on success outcomes whilst balancing project timelines, scope creep, and unanticipated issues
• Bridge the technical-business gap with your customers — working with business stakeholders to define a strategic vision for Mixpanel and then working with the right business and technical contacts to execute that vision
• Collaborate with our technical and solutions partners as needed on data optimization and onboarding projects
• Be a technical sponsor for internal engagements with Mixpanel product and engineering teams to prioritize product and systems tasks from clients

We're Looking For Someone Who Has

• Experience consulting on defining and delivering ROI through new tool implementations
• Experience working with Director-level members of the customer organization to define a strategic vision and successfully leveraging those members to deliver on that vision
• The ability to communicate with stakeholders at most levels of an organization — from talking with developers about the ins and outs of an API to talking to a Director of Data Science/Product Management about organizational efficiency
• Can manage complex projects with assorted client stakeholders, working across teams and departments to execute real change
• Has a demonstrated successful record of experience in customer success, client-facing professional services, consulting, or technical project management role
• Excellent written, analytical, and communication skills
• Strong process and/or project delivery discipline
• Eager to learn new technologies and adapt to evolving customer needs

Bonus Points For

• Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
• Familiar with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc.
• Familiar with product analytics implementation methods like SDKs, Customer Data Platforms (CDPs), Event Streaming, Reverse ETL, etc.
• Familiar with analytics best practices across business segments and verticals
• Fluency in additional languages

#LI-Hybrid

About the Customer Success & Solutions Engineering Team

Mixpanel’s Customer Success & Solutions Engineering teams are analytics consultants who embed themselves within our enterprise customer teams to drive our customer’s business outcomes. We work with prospects and customers throughout the customer journey to understand what drives value and serve as the technical counterpart to our Sales organization to deliver on that value. 

You will partner closely with Account Executives, Account Managers, Product, Engineering, and Support to successfully roll out self-serve analytics within our customer’s organizations, help the customer manage change, execute on technical projects and services that delight our customers and ultimately drive ROI on the customer’s Mixpanel investment.

About the Role

Our SEs are inquisitive, nimble, and able to clearly articulate the technical benefits and requirements of Mixpanel to developers and product managers, while also communicating the business value of our product to high-level executives.

In your first month, you’ll become a Mixpanel expert—both in features and functionality as well as implementation. You’ll have the opportunity to shadow customer calls and demos with current Sales Engineers and Account Executives while learning to articulate our value proposition. You’ll also be trained on Mixpanel’s internal systems and tools to set you up for success.

Within your first three months, you’ll be directly involved in deal cycles with Commercial Account Executives. You’ll lead the technical qualification for customer use cases and deliver customized demos for prospects. You’ll work directly with leadership at the prospect’s organization to understand business challenges that can be solved through an analytics platform and consult on how Mixpanel can address those challenges to achieve a strong ROI.

You’ll also work with the prospect’s business and technical teams to scope and execute proof-of-concept projects to establish Mixpanel’s value—including consulting on data ingestion methods, overall architecture, success criteria, and rollout strategies for analytics tools across an organization.

Responsibilities

• Serve as a trusted technical advisor for prospects, providing strategic consultation on data architecture, governance, instrumentation, and business outcomes.
• Communicate and consult effectively at all levels of the customer’s organization to earn trust and influence buying decisions.
• Bridge the technical-business gap—working with senior stakeholders to define success for proof-of-concepts and ensuring successful execution and outcomes.
• Leverage your Mixpanel expertise and technical/consultative skills to impart best practices throughout proof-of-concept projects.
• Partner with Account Executives to drive revenue growth, serving as the key technical contact for customers.
• Partner with post-sales teams to ensure that pre-sales value propositions translate into tangible post-sales results.
• Develop relationships and uncover the needs of key technical stakeholders within your assigned book of business.
• Be the “Voice of the Prospect” by collecting feedback from potential Mixpanel customers and sharing it with the Product team.

We're Looking For Someone Who Has

• The ability to communicate with stakeholders at all levels—from discussing APIs with developers to organizational efficiency with CIOs.
• A demonstrated track record of qualifying and selling technical solutions to executive stakeholders.
• 6+ years of experience in a Software-as-a-Service Sales Engineering or related role.
• Experience in data querying, modeling, and transformation using tools such as SQL, dbt, Python, Business Intelligence platforms, or Product Analytics tools.
• Familiarity with databases and cloud data warehouses (e.g., Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks).
• A successful record of experience in sales engineering, customer success, client-facing professional services, consulting, or technical project management.
• Excellent written, analytical, communication, and presentation skills.
• Strong process and project delivery discipline.
• The ability to travel.
• Fluency in multiple languages; German preferred.

#LI-Hybrid

📍London | UK remote | 💰 £100,000 to £160,000 (dependent on level) + Benefits | Hear from the team

About us:

At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Our products are different by design: through magically simple products and actionable insights, we put our customers in control of their finance.

Our range of borrowing products serve the important needs of our customers and are critical to Monzo’s mission. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective credit risk and machine learning expertise. Our product portfolios are still expanding fast, from personal to business credit, and to markets beyond the UK. We are looking for bright, passionate and creative individuals to further accelerate our growth.

About the role:

The mission of Borrowing Machine Learning Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing.

You will be taking a hands-on technical leadership role, managing a small team of Senior ML Scientists. With in-depth knowledge and experience in the credit industry, you’ll drive innovations by identifying new opportunities of data and ML applications, and delivering business values across multiple Borrowing products. You’ll have a close relationship with leaders across Credit Strategy, Products, Model Validation and Engineers, with whom you will drive and influence strategic decisions and product roadmaps. You’ll also have the opportunities to work with external data suppliers and industry peers, to push the innovation frontiers for the credit industry.

With excellent technical skills, you’ll also spearhead the continuous development of our toolings, methodologies, and processes, to empower the team to build better models easier and faster. You’ll serve as the champion for the quality and efficiency of model development, and ensure safe and scalable growth of our model portfolio. You’ll also have plenty opportunities to work with other modelling teams across Monzo, to collaborate on the best practices and latest technologies.

Our technology stack

We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics usages
  • BigQuery SQL and dbt for our data modelling and warehousing
  • PyData stack for model development and offline deployment
  • Google AI platform for cloud computing
• AWS for backend infrastructure
  • Python for ML model microservices
  • Go lang for most other microservices
• AI toolings for productivity (an evolving list)
  • Google suites including access to Gemini
  • ChatGPT enterprise
  • Claude code

You should apply if:

• You are result oriented and motivated by the impact on our customers and business
• You thrive in a fast-paced environment and comfortable with frequent context switching
• You enjoy both the strategic thinking and influence, as well as hands-on solving technical problems
• You want to build trust and influence a diverse range of leaders and stakeholders
• You like inspiring people around you, with innovative thinking and high standard execution

You must have:

• Excellent technical skills in Python, SQL, and statistics
• Extensive knowledge of the credit industry, including the products, data, typical ML applications, and related regulations
• Hands-on experience across the lifecycle of credit risk models, including project scoping, data curation, model optimisation, performance analysis, deployment, monitoring, and diagnosis
• Successful track record of managing complex projects, with cross-functional teams and senior stakeholders
• Experience of mentoring and coaching senior ICs
• Previous experience of managing data and model governance in a regulated business

The Interview Process

• 30’ Recruiter Call
• 45’ Initial Call
• 60’ ML technical skill interview
• 60’ People Leadership interview
• 60’ Product ML interview
• 60’ Project deep dive

All interviews will be conducted through Google Meet.

What’s in it for you:

💰 £100,000 to £160,000 ➕  & benefits

✈️ We can help you relocate to the UK

✅ We can sponsor visas

📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travel to London.

🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚 Learning budget of £1,000 a year for books, training courses and conferences

➕ And much more, see our full list of benefits here

Please note that the positions are based in London, United Kingdom — relocation and visa support is provided if required (only if already based in the United Kingdom or Europe). 


BEST WORK OF YOUR CAREER

Trade Republic is the largest savings platform in Europe - we operate in 18 countries, serving +10 million customers who trusted us with over 150B in assets. But we’re striving for more.

We have a bold mission to empower everyone to build wealth with easy, safe, and free access to financial systems. You will have the opportunity to grow your career by collaborating with a team of outstanding talents and state of the art technology to build a lasting, positive future for millions. 

WHAT YOU'LL BE DOING

You will join a product delivery team and be responsible for ingesting, modeling, and publishing data to scale our business. You will design and maintain data products, collaborate on success metrics, and ensure interoperability by leveraging a self-service analytics platform and adhering to best practices.

• Working closely with product and business stakeholders to define and build meaningful product metrics
• Developing analytical products such as data models, dashboards, reports and tooling to enable self-serve reporting and analysis for stakeholders.
• Improving our architecture (cloudbased and always evolving) based on what brings the most impact to cost reduction and speed, applying software engineering best practices
• Taking ownership of projects from scoping to delivery and adoption, working autonomously 

WHAT WE'RE LOOKING FOR

• At least 5 years of engineering experience with an analytical mindset
• Solid understanding of architectures, design principles and engineering best practices
• Experience across all stages of the data pipeline: ingestion, transformations, mart creation
• Experience with our tech stack is a bonus: S3/Snowflake/Airflow/Python/DBT

WHY YOU SHOULD APPLY NOW

Our culture rewards ownership, excellence, and high energy. We care deeply about outcomes and hold each other accountable - we’re here to win and fix one of the largest challenges Europeans face - closing the pension gap and democratising wealth. If this gets you fired up, reach out!

1995 - Director, Business Intelligence

About WPP Media

WPP is the trusted growth partner for the world’s leading brands. With exceptional talent, trusted data and intelligence, and world-class partnerships – all united by our pioneering agentic marketing platform, WPP Open – we help clients navigate change, capture opportunity, and deliver transformational growth. 

WPP Media is WPP's AI-driven media operating unit, bringing together media, data, and partnerships to deliver creative personalisation at scale. Connected through WPP Open and powered by Open Intelligence, clients see exactly where, how, and why their media investment is working.

For more information, visit wppmedia.com.

Role Summary and Impact

Mindshare delivers Good Growth for its clients. As “Growth Architects," we drive growth that benefits all stakeholders — better for people, planet, and business — by using media with intention. This approach creates more meaningful connections with consumers, increases consumer trust in the brand, and delivers better outcomes for all stakeholders.

We're looking for a Business Director to lead the development and delivery of data pipelines, reporting frameworks, cloud infrastructure, and data-driven media solutions for Mindshare's clients in the UK.

You will be joining the BI & Data Management team, a community of BI and data engineering specialists within WPP Media, responsible for transforming marketing data into actionable insights and performance reporting across some of the UK's largest digital media investments.

This role is ideal for a technically credible data leader who can balance hands-on oversight of complex delivery with senior client relationship management, commercial accountability, and team development. You will play a key role in shaping how the team works, championing best practices in data engineering, cloud environment management, and governance, while contributing to the growth of the practice through new business and expanding existing client partnerships.

Key Responsibilities

Team Leadership - Lead and coach a team of four BI developers and data engineers. Define priorities, develop ways-of-working, shape delivery roadmaps, and embed a culture of transparency, collaboration, and continuous improvement.

Project Delivery - Govern the end-to-end delivery lifecycle across a portfolio of client projects, managing resourcing, timelines, and cross-functional dependencies to ensure workstreams are delivered reliably and at scale. Establish and maintain consistent ways of working across the team's project portfolio.

Solution Development - Oversee the delivery and development of performance dashboards, automated reporting solutions, and descriptive analytics used by media, analytics, and client teams. Collaborate closely with stakeholders to translate business questions into clear, actionable data products.

Data Enablement - Work cross-functionally with media activation teams, data science, data strategy, and global product teams to democratise access to data and develop automated, data-driven solutions that drive efficiencies and enhance capabilities. Partner with client account leads to ensure technical solutions are aligned with commercial objectives.

Cloud Environment Ownership - Act as the primary owner of all GCP environments within the team, enforcing best practices for deployment and management via the centrally managed Terraform service, while collaborating with central DevOps and TechOps teams to scope and deliver broader infrastructure solutions.

Taxonomy, Data Standards & Governance - Ensure consistent application of marketing taxonomies, data definitions, and platform mappings (e.g. campaign metadata, brand/product categorisation, measurement KPIs), while driving the development of monitoring tools to surface issues in data completeness, accuracy, and consistency across platforms and sources.

Senior Client & Stakeholder Relationships - Serve as a senior point of contact for key clients and internal stakeholders, building and maintaining trusted relationships at a senior level. Act as an escalation point for delivery issues and ensure the team's output consistently meets and exceeds client expectations.

Commercial & New Business - Contribute to the commercial growth of the practice by supporting new business pitches, scoping and pricing briefs, and identifying opportunities to expand existing client relationships. Maintain awareness of project profitability and resource allocation to ensure delivery is commercially sustainable.

Skills and Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

Essential Skills & Experience

• Proven experience in a data team leadership role, with the ability to manage, mentor, and develop a high-performing technical team
• Strong data engineering knowledge, including hands-on experience overseeing the design and development of ETL/ELT pipelines
• Deep expertise across major cloud platform services, including data warehousing, serverless compute, workflow orchestration, object storage, and CI/CD tooling
• Proficiency in Python and version control practices using GitHub or GitLab
• Experience architecting and owning cloud environments, as well as IAM best practices
• Demonstrated ability to handle and manage commercially sensitive data in line with governance and compliance requirements
• Experience building or overseeing automated reporting and dashboard solutions, ideally using PowerBI and dbt
• Strong stakeholder management skills, with the ability to present complex technical concepts clearly to clients and senior internal stakeholders
• Familiarity with API data extraction and integrating third-party data sources into data platforms

Desirable Skills & Experience

• Experience working within a marketing, media, or advertising agency environment
• Hands-on experience with GCP specifically (e.g. BigQuery, Cloud Run, Cloud Workflows, Cloud Storage, Cloud Build); GCP certifications are highly desirable
• Hands-on experience developing algorithms, descriptive analytics frameworks, and KPI measurement solutions
• Working knowledge of infrastructure-as-code tooling (e.g. Terraform)
• Experience standing up infrastructure and data pipelines for data science or ML use cases
• Working knowledge of Confluence or similar tools for maintaining technical documentation standards
• Familiarity with media performance measurement and marketing attribution methodologies
• Experience working closely with client account or commercial leads to translate business needs into technical solutions

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted. 

#LI-Promoted

Senior Analytics Engineer 

Communication has changed for people. It’s changed for businesses, too.

Intercom is the AI Customer Service company on a mission to help businesses provide incredible customer experiences.

Our AI agent Fin, the most advanced customer service AI agent on the market, lets businesses deliver always-on, impeccable customer service and ultimately transform their customer experiences for the better. Fin can also be combined with our Helpdesk to become a complete solution called the Intercom Customer Service Suite, which provides AI enhanced support for the more complex or high touch queries that require a human agent.

Founded in 2011 and trusted by nearly 30,000 global businesses, Intercom is setting the new standard for customer service. Driven by our core values, we push boundaries, build with speed and intensity, and consistently deliver incredible value to our customers.

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

#LI-Hybrid

What's the opportunity? 

• The Research, Analytics & Data Science (RAD) team at Intercom use data and insights to drive evidence based decision-making. We're a team of data scientists and product researchers who use data - both big and small -  to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value. If you get excited about asking the right questions, exploring patterns in data and turning insights into action, this role is for you..
• Data Scientists in RAD partner with teams across R&D to help Intercom make sense of our users, our products and our business, using metrics, data and analysis. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily.

What will I be doing? 

• You’ll partner with product teams to help them identify important questions and answer those questions with data
• You’ll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities
• You’ll design, build and update end-to-end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables.
• You’ll partner closely with product researchers to build a holistic understanding of our customers, our products and our business.
• You’ll influence our product roadmap and product strategy through exploratory analysis and quantitative research

Increasingly, you will also:

• Use AI-assisted tools (e.g. Claude Code, Cursor) to accelerate analysis, coding and insight generation
• Identify opportunities to automate your own workflows and reduce time spent on repetitive tasks
• Build scalable data products (dashboards, models, internal tools) that enable stakeholders to self-serve insights
• Help teams interact more directly with data (e.g. through better abstractions, semantic layers, or AI-powered interfaces)
• Raise the bar for how AI is used within RAD- sharing patterns, workflows and best practices
• Craft clear, compelling data stories and communicate recommendations across R&D and the broader company
• Contribute to and shape core RAD foundations, improving how the team operates

What skills do I need? 

• 5 + years experience working with data to solve problems and drive evidence-based decisions
• Strong SQL skills and solid grounding in statistics
• Experience working closely with product teams
• Proven track record of delivering actionable insights that drive measurable impact with minimal supervision
• Strong product intuition, business acumen and ability to connect analysis to strategy
• Excellent communication skills (technical and non-technical), with a focus on driving decisions and outcomes
• Strong ownership, curiosity and growth mindset
• Experience with a scientific computing language (e.g. Python)

And increasingly important:

• Ability to effectively use AI tools (e.g. Claude Code, Cursor) to accelerate and improve your work
• A mindset of automation and leverage - looking for ways to scale your impact beyond one-off analyses
• Comfort working in ambiguous, fast-evolving environments where tools and workflows are rapidly changing

Bonus skills & attributes 

• Experience with data modeling and ETL pipelines (esp dbt)
• Experience building internal tools, data products or self-serve analytics capabilities
• Experience leveraging AI across the data workflow - from ideation and coding to analysis and communication

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated. 
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

What's the opportunity? 

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.

This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.

What will I be doing? 

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What skills do I need? 

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• Unlimited access to Claude Code and best-in-class AI tools; experimentation & building is encouraged & celebrated. 
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

What's the opportunity? 

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.

This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.

What will I be doing? 

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What skills do I need? 

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

What's the opportunity? 

The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows.

AI has unlocked an entirely new generation of internal tools for our GTM teams. We’re evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations.

The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production.

This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact.

What will I be doing? 

• Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups.
• Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends.
• Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact.
• Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion).
• Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams.

What skills do I need? 

• Proven track record of applied data science with measurable GTM impact - you’ve shipped models or tools that moved metrics like conversion, cycle time, or retention.
• LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development.
• Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems.
• Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows.
• Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders.
• Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables.

Benefits 

We are a well treated bunch, with awesome benefits! If there’s something important to you that’s not on this list, talk to us! 

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Open vacation policy and flexible holidays so you can take time off when you need it
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

#LI-Hybrid

What is the opportunity?

Intercom’s AI Group is responsible for defining new ML features, researching appropriate algorithms and technologies, and rapidly getting first prototypes in our customers’ hands.

We are extremely product-focussed. Our team of 50+ ML scientists, ML engineers, designers and researchers works in partnership with other teams across the whole company. We move to production fast, often shipping to beta within weeks of a successful offline test. 

We constantly run experiments and measure the success of our AI features. We use frequentist and Bayesian approaches. We create dashboards to track results. We dive deep into exactly how users are being successful, and have to tease out all sorts of complex user interactions. We have to deal with inherently stochastic AI products, and complex effects.

We are looking for a dedicated Analytics Engineer to join the AI Group to help us with that.

What will I be doing?

• Data Platform Development: Design, build, and manage scalable data pipelines and ETL processes to support a robust, analytics-ready data platform.
• Cross-functional Collaboration: Partner with ai analysts, ml scientists, engineers and business teams to understand data needs and ensure accurate, reliable & ergonomic data solutions.
• Data Strategy & Governance: Lead initiatives in data model development, data quality ownership, warehouse management, and production support for critical workflows.
• Advanced Analytics & Insights: Conducted data analysis and built custom models to support strategic business decisions and performance measurement.
• Automation & Optimization: Streamline data collection and reporting processes to reduce manual effort and improve efficiency.
• Innovation in Data Infrastructure: Created scalable solutions like unified data pipelines and access control systems to meet evolving organizational needs.
• Strategic Influence: Worked with partner teams to align data collection with long-term analytics and feature development goals.

About You

• You write advanced SQL with a preference for well-architected data models, optimized query performance, and clearly documented code
• You’re familiar with the modern data stack. dbt and Snowflake experience are a big plus.
• A growth mindset and eagerness to learn.
• You exhibit great judgment and sharp business and product instincts that allow you to differentiate essential versus nice-to-have and to make good choices about trade-offs
• You practice excellent communication skills, and you tailor explanations of technical concepts to a variety of audiences

Nice to haves

• Exposure to Apache Airflow or other DAG frameworks — we use Airflow to orchestrate and schedule all of our data workflows and transformations
• Worked in Tableau, Looker, or similar visualization/business intelligence platform
• Experience with operational tools and business systems such Google Analytics, Marketo, Salesforce, Segment, or Stripe
• Familiarity with Python

Benefits 

#LI-Hybrid

📍London/Cardiff/UK Remote | 💰 £86,000-105,000 + Incentive Awards tied to your performance + benefits | Hear from the team ✨ 

About us:

At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core.

Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth.

About the role

The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing.

You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster.

You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models.

Our technology stack

We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics usages
  • BigQuery SQL and dbt for our data modelling and warehousing
  • PyData stack for model development and offline deployment
  • Google Vertex AI platform for cloud computing
• AWS for backend infrastructure
  • Python for ML model microservices
  • Go lang for most other microservices
• AI toolings for productivity (an evolving list)
  • Google suites including access to Gemini
  • ChatGPT enterprise
  • Claude code

🤩 You should apply if:

• You are result oriented and motivated by the impact on our customers and business
• You enjoy a high degree of autonomy and thrive in a fast-paced environment
• You are keen to grow your knowledge in both business and technology

📌 You must have:

• Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering
• In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc
• Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap
• Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry
• Great attention to details while keeping an eye on the big picture
• Excellent communication skills to articulate complex problems
• Capability to build mutual respect and trust with people of different background

Nice to have:

• Experience in UK/EU retail lending businesses for personal/business customers
• Experience of ML model governance in a regulated industry
• Experience in leverage modern day AI tools for productivity

The Interview Process:

Our interview process involves:

• 30’ Recruiter Call
• 45’ Initial Call
• 60’ ML technical skill interview
• 60’ Behavioural interview

All interviews will be conducted through Google Meet.

What’s in it for you:

💰 £86,000 to £105,000 ➕ plus stock options & benefits

✈️ We can help you relocate to the UK

✅ We can sponsor visas

📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London.

🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚 Learning budget of £1,000 a year for books, training courses and conferences

➕ And much more, see our full list of benefits here

#LI-DC2  #LI-Remote

 📍London  | 💰 £58,000 to £78,000 +  Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

About our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk.

We are scaling up our Impairments modelling team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of IFRS 9 models (PD, LGD, EAD, macroeconomic models) across both well established and emerging products.  Additionally the successful individual will have oversight of model performance, construction of PMAs/model overlays where required, model implementation, and impairment analytics for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling and IFRS 9 provision methodology.  Prior experience developing IFRS 9 models is desirable, but model development experience in IRB modelling, stress testing or scorecard models will also be considered.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, and model implementation

Your day-to-day responsibilities:   

• Assist with end-to-end development and maintenance of IFRS 9 models (PD, EAD, LGD)
• Construction of post-model adjustments / model overlays as and when required
• Implementation of new models 
• Development and maintenance of economic-response models for scenario simulation and impairment 
• Enhancement of model monitoring and month-end ECL reporting and analytics
• Presenting modelling results to 1LOD and 2LOD risk forums/committees 
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

How we work:

Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles.

We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable.

We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most.

Work the way that works for you at Monzo! 💼

You should apply if:

• You have a background in IFRS 9 impairments
• You have end to end experience in the development and implementation of credit models (e.g PD, LGD, EAD). 
• You have experience in monitoring ECLs and conducting driver analyses 
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and either Python or R is a must-have, a data visualisation tool (such as Tableau, PowerBI, Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on

The Interview Process:

Our interview process involves 4 main stages: 

1. Initial call with a member of the impairments team
2. Technical IFRS 9 interview 
3. Values and collaboration behavioural interview
4. A live case study problem solving interview

Our average process takes around 3-4 weeks but we will always work around your availability. 

What’s in it for you:

💰 £58,000 to £78,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✅ We can sponsor visas

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here 

📍London  | 💰 £78,000 to £95,000 + Incentive Awards tied to your performance + Benefits | Data Team, Borrowing 

Our Capital, Impairments & Forecasting Team

Our Capital, Impairments & Forecasting team (CIF) sits at the intersection of our Borrowing and Finance collectives, responsible for developing, executing and managing the models used to calculate IFRS 9 ECL, and credit risk capital through the annual ICAAP. We work alongside our first line credit teams who design the products, decide who to lend to, set underwriting policy, identify customers who need help, manage the portfolio and report and measure credit risk.

Within CIF, we are scaling up our Forecasting modelling and execution team to support the rapid growth and evolution of our portfolio. This role is pivotal for the team as the successful candidate will help develop and further enhance our suite of forecasting and stress testing models across both well established and emerging products.  Additionally the successful individual will have a key role in executing these models across high profile budgeting & stress-test exercises and building up our toolkit to quantify the impact of various strategic decisions for senior management.

Strong data and analytical skills are a must, as is experience in credit risk modelling.  Prior experience developing credit risk forecasting models is desirable, but relevant model development / validation experience in IRB modelling, IFRS9 or scorecard models will also be considered. Experience as a ‘model user’ of forecasting models in the context of budgeting or stress-testing would be helpful but is not required.

We rely heavily on the following tools and technologies (note we do not expect applicants to have prior experience of all them):

• Google Cloud Platform for all of our analytics infrastructure
• dbt and BigQuery SQL for our data modelling and warehousing
• Python for data science and predictive modelling, model implementation and data visualisation (via streamlit)
• Github for version control

Your day-to-day responsibilities:   

• Assist with continuous improvement of forecasting models via new developments or recalibrations.
• Construction of grounded overlays, where required, to quantify effects of future strategy changes or address known model limitations
• Furthering the development and execution of forecast model monitoring to inform an effective prioritisation of model improvements
• Presenting forecast model results to senior management
• Close collaboration with portfolio strategy, model validation, finance and external audit teams

You should apply if:

• You have a background in forecast modelling or execution
• You have relevant experience in the development and implementation of credit models (e.g IFRS9 / Forecasting / IRB)
• You have strong analytical skills and a track record of using these to deliver technical projects
• You have a solid technical toolkit. SQL and Python are our desired coding languages but experience in SAS/R will be considered. A data visualisation tool (such as Streamlit or Looker) is a plus
• You can convey problems and solutions using clear and simple language, both written and verbal (see Monzo’s tone of voice guide). This is particularly important for communicating complex issues and priorities to non-experts
• You're impact driven and eager to have a real positive impact on the company, our products, our users and your team-mates
• You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
• You're a team player whom your colleagues can rely on

The Interview Process:

Our interview process involves 4 main stages: 

1. Initial call with a member of the Forecasting team
2. Technical modelling interview 
3. Values and collaboration behavioural interview
4. A live case study problem solving interview

Our average process takes around 3-4 weeks but we will always work around your availability. 

What’s in it for you:

💰 £78,000 to £95,000 +  Incentive Awards tied to your performance + Benefits

📍 London (one to two days a week)

✈️ We can help you relocate to the UK

✅ We can sponsor visas

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

📚Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here 

#LI-LG1  #LI-Remote

6841 - Director, Global Client Finance Data & Platform

About WPP Media 

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com. 

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com 

Role Summary and Impact 

The Director, Client Finance Data & Platform is the chief architect and owner of Abacus, our core Global Client Finance data ecosystem. This is a critical leadership role responsible for building and operating the reliable data pipelines, robust standards, and intuitive self-service interfaces that will transform our Global Client Financefunction. 

You will own the end-to-end data journey, from ingestion from source systems like SAP BFC, through transformation in Databricks, to the delivery of certified, user-friendly Power BI semantic models. Your mission is to operate a world-class data platform with rock-solid reliability, enabling the Global Client Finance team to move from manual data wrangling to high-impact strategic analysis. This role is perfect for a data expert who is passionate about building data products and thrives on bridging the gap between the technical and financial worlds. 

Key Responsibilities 

• Abacus Platform Ownership: Own the Abacus architecture and semantic layer. Design and govern the dimensional model (star schemas, dimensions, facts), set development standards, manage versioning, and run a predictable, agile release cadence for all data products. 

• Data Engineering & Pipelines: Lead the build and operation of robust, scalable, and automated ingestion pipelines for core sources (e.g., SAP BFC, Dynamics 365, Timesheet systems). Champion the use of reusable connectors, templates, and test suites to simplify and accelerate the onboarding of new data sources. 

• Data Governance & Contracts: Define and govern data connections with source system owners. Manage schema change control, ensure backward compatibility, and triage data quality issues. Publish and maintain clear API/feed documentation for all data integrations. 

• Power BI & Semantic Layer: Deliver and certify user-friendly Power BI semantic models and curated data marts that serve as the "single source of truth" for Global Client Finance reporting. Continuously optimize DAX query performance and manage access governance for our broad user base. 

• Data Quality & Reliability: Implement a framework for automated testing, data quality checks, and performance monitoring. Define and manage SLAs for all data products, and lead incident management and root-cause remediation to ensure the business has uninterrupted access to trusted data. 

• Enable AI-Powered Self-Service: Drive the strategy and implementation of AI/ML across the data platform. This includes not only developing models for forecasting and anomaly detection but also pioneering AI-driven interfaces (e.g., natural language querying) to truly democratize data access. Your goal is to empower non-technical users to explore and understand complex financial data intuitively, asking questions in plain language and getting immediate, reliable answers. 

• Strategic Partnership: Work in close partnership with the Global Business Systems (GBS) team, Master Data Management (MDM) projects, and WPP technology counterparts to ensure our data platform aligns with the broader enterprise technology landscape. 

Skills and Experience 

Core Tech Stack: 

• Data Platform: Expert-level knowledge of Databricks (Notebooks, Delta Lake, SQL endpoints). 

• ETL/ELT: Proven experience building and managing data pipelines using tools like Azure Data Factory, dbt, or similar. 

• BI & Semantic Layer: Deep expertise in Microsoft Power BI, including mastery of DAX, M (Power Query), dataflows, and performance tuning of large-scale semantic models. 

• Data Languages: Expert-level SQL is essential. Proficiency in Python and/or Scala is highly preferred. 

• Data Modeling: Deep expertise in dimensional modeling (Kimball methodology, star/snowflake schemas) and data warehousing principles. 

• Source Systems: Experience integrating data from financial consolidation systems (e.g., SAP BFC/Cartesis, Hyperion) and ERPs (e.g., SAP, Dynamics 365) is a significant advantage. 

• AI/ML & Advanced Analytics: Familiarity with machine learning concepts and their practical application for forecasting and anomaly detection is a strong plus. Crucially, an understanding of how Large Language Models (LLMs) can be applied to create natural language querying ("Text-to-SQL" or "Text-to-DAX") interfaces for data exploration and business intelligence is highly desirable. 

• DataOps/DevOps: Experience with CI/CD pipelines, source control (Git), and automated testing frameworks for data. 

Experience & Personal Attributes 

• Experience in data architecture, data engineering, or BI development, with at least 3-5 years in a technical leadership or platform ownership role. 

• Crucially, demonstrable experience working within or in very close partnership with a corporate Finance or FP&A function. You must be able to understand financial concepts and translate business requirements into robust technical solutions. 

• Proven track record of designing, building, and operating large-scale data platforms and BI solutions in a global enterprise environment. 

• Strategic thinker with the ability to see the big picture and define a long-term data roadmap, while also being hands-on and capable of diving deep into technical details. 

• Exceptional stakeholder management and communication skills, with the ability to articulate complex technical concepts to non-technical audiences, from junior analysts to C-suite executives. 

• A passion for data quality, governance, and building trust in data across an organization. 

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. 
 
We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. 

Please note this is a UK based role and requires individuals to have the right to work in this location 

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide. 

#LI-Promoted 

About Euc

We’re making good health last a lifetime

More than 1 billion people globally live with obesity, a significant leading indicator of many preventable chronic diseases such as diabetes and heart disease.

Eucalyptus is the company behind Juniper, one of the world’s largest weight management programs combining GLP-1 medication with a tailored nutrition and exercise programme, supported by our multidisciplinary care team of prescribers, health coaches, dietitians, nurses and pharmacists.

Our published clinical research demonstrates that our combined approach to weight management and lifestyle change increases the likelihood of our patients losing significant weight during their treatment with Juniper by four times.

Since launching, we’ve grown fast to support millions of patients. In the last 12 months:

• We grew the size of our patient base by 10x in the UK, received selective NICE endorsement for our holistic approach to obesity management, and grew our team from 50 to 200.
• Globally, we grew revenue by >120% YoY, while reducing cash burned by 90% YoY, with over $100M USD raised from global investors such as BOND, NewView, Blackbird and Airtree - early backers of companies like Canva, Stripe, Uber and Airbnb.

What’s next?

In 2025, we are charting the path to support hundreds of thousands of patients while launching into new conditions, demographics, and geographies as we move towards our vision of creating a preventive healthcare ecosystem.

We’re building the world’s largest international digital healthcare company. This will be highly challenging, very rewarding and the adventure of a lifetime, working with the best operators you will ever encounter.

If that gets you excited, let’s talk!

About the Role

We’re looking for a Senior Data Engineer to join our growing UK data team. This role combines hands-on engineering with real business impact: you’ll provide core data engineering support for the UK market, while also building novel data pipelines to unlock optimisation, personalisation, and advanced analytics across our data stack.

You’ll work closely with data analysts, operations, marketing, and product teams to ensure our data is reliable, accessible, and actionable — helping us deliver more personalised healthcare experiences at scale.

What You’ll Do

• Own and maintain data pipelines that serve the UK business, ensuring accuracy, reliability, and efficiency.
• Partner with analysts and data scientists to deliver clean, well-modelled datasets for reporting and experimentation.
• Design and build new data pipelines that enable optimisation and personalisation (e.g. user segmentation, recommendation features, lifecycle targeting).
• Collaborate with global engineering and platform teams to align on standards while advocating for UK-specific requirements.
• Work with functional teams to provide bespoke solutions for specific use cases, including streaming reporting & analytics, real-time data pipelines, and inference and personalisation services.

About You

• 6+ years of experience in data engineering or similar roles.
• Strong proficiency in SQL and modern data warehouses (BigQuery, Snowflake, or Redshift).
• Hands-on experience with orchestration tools (Airflow, Dagster) and ETL/ELT pipelines/tools (dbt).
• Familiarity with cloud platforms (preferably GCP)
• Comfortable with Python for data transformation and pipeline development.
• Ability to distil requirements into a clear, bespoke solution that creates sustainable value
• Strong communication skills — able to work with both technical and non-technical stakeholders.

So, why join Eucalyptus?

• Make real impact, fast - We build in the open together, which helps us learn and iterate more quickly to deliver high-quality outcomes faster than anyone else. Helping impact patients’ lives for the better from the moment you join Euc.
• You’ll be supported to accelerate your career - Regular feedback alongside our bi-annual performance reviews, a professional development budget & leave help ensure you have the support you need to level up. We’re committed to helping every Eucalypt reach their full potential.
• You’ll work with others who are incredibly passionate about what they do - Our talent bar is high, and our work ethic is strong. You’ll get to stretch yourself every day, be given autonomy to tackle interesting problems, and work amongst people who care deeply about our patients.
• We also offer a range of benefits including
  • Your own stake in the business with our employee options program
  • Newly opened HQ in vibrant Old Street, designed for focus and collaboration
  • A flexible hybrid setup: 3 days a week in our Old Street office
  • A monthly wellness allowance, for you to spend on whatever wellness means to you
  • A yearly personal development budget and 3 extra days of leave to continuously up-skill yourself
  • 25 days holiday + bank holidays with an enhanced parental leave policy
  • A fun office with regular socials including after-school sport, clubs, cycle kick-offs, and seasonal parties. We had our winter social in Paris last year! 🇫🇷
  • Your own MacBook and more!
• Want to hear more about what it’s like to work at Eucalyptus? Hear from our team here or check us out on Instagram @eucalyptus.health

At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process.

About Euc

We’re making good health last a lifetime

More than 1 billion people globally live with obesity, a significant leading indicator of many preventable chronic diseases such as diabetes and heart disease.

Eucalyptus is the company behind Juniper, one of the world’s largest weight management programs combining GLP-1 medication with a tailored nutrition and exercise programme, supported by our multidisciplinary care team of prescribers, health coaches, dietitians, nurses and pharmacists.

Our published clinical research demonstrates that our combined approach to weight management and lifestyle change increases the likelihood of our patients losing significant weight during their treatment with Juniper by four times.

Since launching, we’ve grown fast to support millions of patients. In the last 12 months:

• We grew the size of our patient base by 10x in the UK, received selective NICE endorsement for our holistic approach to obesity management, and grew our team from 50 to 200.
• Globally, we grew revenue by >120% YoY, while reducing cash burned by 90% YoY, with over $100M USD raised from global investors such as BOND, NewView, Blackbird and Airtree - early backers of companies like Canva, Stripe, Uber and Airbnb.

What’s next?

In 2025, we are charting the path to support hundreds of thousands of patients while launching into new conditions, demographics, and geographies as we move towards our vision of creating a preventive healthcare ecosystem.

We’re building the world’s largest international digital healthcare company. This will be highly challenging, very rewarding and the adventure of a lifetime, working with the best operators you will ever encounter.

If that gets you excited, let’s talk!

About the Role

We’re looking for a Mid-level Data Engineer to join our growing UK data team. This role combines hands-on engineering with real business impact: you’ll provide core data engineering support for the UK market, while also building novel data pipelines to unlock optimisation, personalisation, and advanced analytics across our data stack.

You’ll work closely with data analysts, operations, marketing, and product teams to ensure our data is reliable, accessible, and actionable — helping us deliver more personalised healthcare experiences at scale.

What You’ll Do

• Own and maintain data pipelines that serve the UK business, ensuring accuracy, reliability, and efficiency.
• Partner with analysts and data scientists to deliver clean, well-modelled datasets for reporting and experimentation.
• Design and build new data pipelines that enable optimisation and personalisation (e.g. user segmentation, recommendation features, lifecycle targeting).
• Collaborate with global engineering and platform teams to align on standards while advocating for UK-specific requirements.
• Work with functional teams to provide bespoke solutions for specific use cases, including streaming reporting & analytics, real-time data pipelines, and inference and personalisation services.

About You

• 4+ years of experience in data engineering or similar roles.
• Strong proficiency in SQL and modern data warehouses (BigQuery, Snowflake, or Redshift).
• Hands-on experience with orchestration tools (Airflow, Dagster) and ETL/ELT pipelines/tools (dbt).
• Familiarity with cloud platforms (preferably GCP)
• Comfortable with Python for data transformation and pipeline development.
• Ability to distil requirements into a clear, bespoke solution that creates sustainable value
• Strong communication skills — able to work with both technical and non-technical stakeholders.

So, why join Eucalyptus?

• Make real impact, fast - We build in the open together, which helps us learn and iterate more quickly to deliver high-quality outcomes faster than anyone else. Helping impact patients’ lives for the better from the moment you join Euc.
• You’ll be supported to accelerate your career - Regular feedback alongside our bi-annual performance reviews, a professional development budget & leave help ensure you have the support you need to level up. We’re committed to helping every Eucalypt reach their full potential.
• You’ll work with others who are incredibly passionate about what they do - Our talent bar is high, and our work ethic is strong. You’ll get to stretch yourself every day, be given autonomy to tackle interesting problems, and work amongst people who care deeply about our patients.
• We also offer a range of benefits including
  • Your own stake in the business with our employee options program
  • Newly opened HQ in vibrant Old Street, designed for focus and collaboration
  • A flexible hybrid setup: 3 days a week in our Old Street office
  • A monthly wellness allowance, for you to spend on whatever wellness means to you
  • A yearly personal development budget and 3 extra days of leave to continuously up-skill yourself
  • 25 days holiday + bank holidays with an enhanced parental leave policy
  • A fun office with regular socials including after-school sport, clubs, cycle kick-offs, and seasonal parties. We had our winter social in Paris last year! 🇫🇷
  • Your own MacBook and more!
• Want to hear more about what it’s like to work at Eucalyptus? Hear from our team here or check us out on Instagram @eucalyptus.health

At Eucalyptus, we value individuals from all backgrounds, experiences, and perspectives, and we embrace the unique qualities each person brings. When you apply, please let us know of any reasonable adjustments you may need during the interview process.

About the role           

Anthropic is looking for a Data Engineer to join the Safeguards team and build the data foundations that keep our AI systems safe. The Safeguards team works to monitor models, prevent misuse, and ensure user well-being — and doing that well requires robust, reliable data infrastructure. In this role, you'll design and build the data pipelines, warehousing solutions, and analytical tooling that power our safety and trust efforts at scale.

You'll work closely with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and make informed decisions about model behavior and enforcement. This is a high-impact role where your work will directly support Anthropic's mission to develop AI that is safe and beneficial.

Responsibilities:

- Design, build, and maintain scalable data pipelines that support safety monitoring, abuse detection, and enforcement workflows
- Develop and optimize data models and warehousing solutions to enable efficient analysis of large-scale usage and safety data
- Build and maintain dashboards and reporting infrastructure that give Safeguards teams visibility into model behavior, misuse patterns, and enforcement outcomes
- Collaborate with engineers to integrate data from multiple sources — including model outputs, user reports, and automated classifiers — into a unified analytical layer
- Implement data quality frameworks, monitoring, and alerting to ensure the reliability of safety-critical data
- Partner with research teams to surface data insights that inform model improvements and safety interventions
- Develop self-service data tooling that enables stakeholders to explore safety data and generate reports independently
- Contribute to data governance practices, including access controls, retention policies, and privacy-compliant data handling

You may be a good fit if you:

- Have 3+ years of experience in data engineering, analytics engineering, or a related role
- Are proficient in SQL and Python, with experience building and maintaining ETL/ELT pipelines
- Have hands-on experience with modern data stack tools such as dbt, Airflow, Spark, or similar orchestration and transformation frameworks
- Have worked with cloud data platforms (BigQuery, Redshift, Snowflake, or similar)
- Are comfortable building dashboards and data visualizations using tools like Looker, Tableau, or Metabase
- Communicate clearly and can translate complex data concepts for both technical and non-technical audiences
- Are results-oriented, flexible, and willing to pick up slack even when it falls outside your job description
- Care about the societal impacts of AI and are motivated by safety work

Strong candidates may have:

- Experience with trust & safety, integrity, fraud, or abuse detection data systems
- Experience with large-scale event streaming systems (Kafka, Pub/Sub, Kinesis)
- Built data infrastructure that supports ML model monitoring or evaluation
- Familiarity with data privacy and compliance frameworks (GDPR, CCPA, or similar)
- A background in statistical analysis, or experience collaborating closely with data scientists
- Developed internal tooling or self-service analytics platforms

Strong candidates need not have:

- A formal degree in Computer Science or a related field — we value practical experience and demonstrated ability over credentials
- Prior experience in AI or machine learning — you'll learn the domain-specific context on the job
- Previous experience at an AI safety or research organization
- Deep expertise across every tool listed above — familiarity with a subset and a willingness to learn is enough

About Us

OpenFX is on a mission to move money as freely as data, unrestricted by time zones, banking hours, or legacy systems. We are building the infrastructure that will power the next generation of cross-border payment systems for institutions. The team's execution has been exceptional, and we're scaling at a remarkable pace. Our stellar early team comes with experience in companies like J.P. Morgan, Goldman Sachs, FalconX, Paypal, Affirm, Polygon, Kraken, Nium & others. We’re backed by Accel, Lightspeed, NfX and other top-tier investors.

Role Overview

We are seeking a talented Analytics Lead to build and lead our analytics function from the ground up. This role is crucial for establishing our core data infrastructure and delivering actionable insights across all teams to power strategic decision-making and drive business growth.

Key Responsibilities:

• Data Infrastructure & Governance:
  
  
• Design and implement our core analytics infrastructure, including data warehousing, ETL processes, and visualization tools.
• Establish data quality standards, automate routine reporting, and create self-service analytics tools to ensure data accuracy and accessibility.

• Business Intelligence & Insights:
  
  
• Create and maintain dashboards for key business metrics across operations, finance, partnerships, and growth teams.
• Develop comprehensive analytics for transaction monitoring, liquidity optimization, platform performance, and revenue forecasting.
• Analyze user behavior and transaction patterns to drive growth strategies.

• Risk & Financial Analytics:
  
  
• Build analytics models for pricing optimization and financial planning.
• Create risk monitoring systems and fraud detection analytics to ensure platform security.

• Strategic Partnership & Team Leadership:
  
  
• Partner with leadership to provide data-driven insights for strategic decision-making.
• Build, manage, and mentor a high-performing team of analysts as the organization scales.

What we are looking for

Must-haves:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 6+ years of experience in analytics or data science roles.
• Strong programming skills in Python and SQL.
• Experience with modern data stack tools (e.g., Snowflake, dbt, Airflow).
• Proven experience building and maintaining large-scale data pipelines.
• Excellent communication skills with the ability to present complex data to non-technical stakeholders.
• Strong problem-solving skills and meticulous attention to detail.

What helps you stand out:

• A Master's degree in a relevant field.
• Experience in a fintech or financial services environment.
• Direct experience with crypto/blockchain analytics.
• Startup experience is highly preferred.
• Expertise with data visualization tools like Tableau or Looker.

What We Offer

• Competitive salary and benefits package.
• Equity in a rapidly growing company.
• Opportunity to work in a fast-paced startup at the forefront of fintech innovation.
• Opportunity to make a significant impact on global financial infrastructure
• Collaborative work culture with emphasis on personal and professional growth.

We are committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. 

London, UK (Hybrid: 3 days p/week in-office)

About the team:

An exciting opportunity within the Security Strategy and Governance (SSG) team whose mission is to ensure the safety and security of our customers, partners and Klaviyos as well as deliver best in class technology solutions, infrastructure and services. This is achieved by providing a robust and secure technology foundation to do great work. We solve problems using technology, embrace automation, and support Klaviyo's continued scalability and sustainable employee growth in a rapidly evolving environment.

The SSG team assists the Global Security Services (GSS) organization in developing and refining information security strategy, creating metrics and reporting, coordinating cross-functional projects, and strategically aligning global information security initiatives with the broader CISO vision. The SSG team is highly collaborative and cross-functional, working closely with various functions within the GSS team (namely Security Risk and Trust, Security Product and Development, Global Protection Services and Security Intelligence Operations), Global Technology Solutions (GTS) team and the broader Klaviyo organization.

About the role:

Your role will be a conduit between security reporting and supporting day‑to‑day security detection & response operations. Your main focus will be on building “source‑of‑truth” dashboards and metrics for the GSS organization; the rest of the time will also focus on triaging, enriching, and escalating security detections in partnership with the SIO team. The remit spans data engineering, business intelligence, security telemetry and operations so security leaders can make faster, better decisions on risk, reliability, and incident outcomes. 

​​Reporting & Analytics

Your role will be to design, implement and manage data analytics and reporting dashboards using strategic tooling and processes, ingesting data from a wide range of GSS organization’s key source systems through APIs and creating management level reports and having those published for company wide consumption. You’ll be responsible for managing the analytics and reporting dashboards in GSS and providing solutions to take us into the future using tools to create trusted, robust and reliable reports that’s easy to access and understand. You’ll work closely with security experts as well as other Klaviyo functions to understand the data, ensuring it’s accurate and governed.

Security Intelligence 

This role also necessitates a contribution to the Security Intelligence Operations team by supporting threat detection and response services. This is a hands-on role that involves triaging and responding to cyber threats and conducting investigations. As the individual develops and gains proficiency in this area, the scope of responsibilities will expand to include building detections, and contributing to threat hunts, digital forensics and incident response. As a member of the team, you will have the opportunity to work on complex security challenges and combat cyber threats specific to Klaviyo’s assets. 

How you’ll have an impact:

Reporting and Analytics

• Develop and own an effective and comprehensive reporting dashboard with visualizations, reports, and analysis that reflect the source of truth in terms of performance monitoring for the GSS organization.
• Collaborate with and support stakeholders across the GSS organization ensuring alignment on business metrics and source standardization.
• Enable automated and accurate reporting of GSS metrics in forums such as Monthly Projects and Services Meetings, PMO Reviews, Strategic Initiatives and Board Materials. 
• Support our GSS organization with analytical support to assist in data driven problem solving.

Security Intelligence

• Triage and respond to cyber threats, alerts and incidents.
• Perform host and network based log analysis in a cloud first environment.
• Leverage AI and/or build security tools to automate threat response tasks.
• Develop detailed post incident and investigation reports.
• Collaborate with detection engineers to identify threat detection use cases. 
• Work with engineering stakeholders to improve security posture post investigations.

Program & stakeholder leadership

• Identify potential risks based on trends and communicate those insights back to the organization.
• Support the management of strategic programs and initiatives and work with GSS to establish and align on business impact sizing.
• Stay up-to-date on industry trends, best practices, and emerging technologies in our competitive landscape.

Who you are:

• Proven 5+ years of experience as a business intelligence and data analytic (essential), preferably in the SaaS industry. 
• Extensive, demonstrable experience reading and writing complex SQL queries for data collection and analysis including using visualization platforms such as Tableau, Power BI, Apache Superset or similar (essential).
• Scripting experience using Python (web scrapping), dbt and bash (essential).
• Experience using or ingesting data from Splunk, Snowflake and other monitoring tools (essential).
• Experience using Atlassian Confluence and JIRA (essential). 
• Automation-first approach for all work performed (essential). 
• You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast. You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient (essential). 
• Experience of working with business areas to understand and interpret their requirements.
• Be curious, innovative, creative and agile, developing and championing new ideas, identifying opportunities, and learning fast along the way.
• Demonstrate initiative and commitment for results and the ability to set priorities and manage multiple initiatives.
• Strong time-management skills, with the ability to prioritize tasks, meet deadlines, and adapt to changing project requirements and timelines. 

Nice to have:

• 2+ years of hands-on security operations experience in cloud-native environments.
• Experience in triaging and responding to cyber threats, alerts, and incidents as well as log analysis, incident response and/or digital forensics.
• Experience securing cloud environments such as AWS, GCP, and/or Azure.
• Knowledge of security and IT frameworks such as NIST CSF, ISO 27001, SOC2, PCI-DSS.
• Experience using ASANA or any project management tools including creating integrations for reporting purposes. 
• Experience in information security and IT practices around services, cloud infrastructure, hosting and platforms.

#LI-Hybrid #LI-JW1

We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025.

Please see the independent bias audit report covering our use of Covey here

231 - Lead Data Engineer, WPP Media Data, Technology and Analytics (DTA)

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About WPP Media Data, Technology and Analytics (DTA): A Leading WPP Media Brand

DTA is WPP’s global data products and technology arm. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

Role Summary and Impact

As a Lead Data Engineer, based within our Wavemaker team, you will serve as the technical figurehead for the data engineering practice across WPP Media’s broader Business Intelligence & Data Engineering agency teams. You will be instrumental in defining, driving, and implementing best-in-market data engineering strategies and solutions, with a particular focus on the Measure data platform. You will work directly on Wavemaker clients and collaborate closely with the Wavemaker BI team, ensuring their data needs are met with cutting-edge solutions.

This is an influential role that combines deep hands-on technical expertise with strategic leadership. You will be responsible for setting technical standards, fostering a community of practice among all our engineers across the agencies, and ensuring the delivery of cutting-edge, commercially viable data solutions that empower data-driven decision-making for our clients and internal teams. While you will directly manage one individual, you will act as the most senior engineer in the wider team, providing technical direction and mentorship. You will also represent our data engineering capabilities in client pitches and external forums, demonstrating our leadership in the BI space.

In this role you will:

• Lead Data Engineering Strategy: Define and drive the overarching data engineering strategy and architecture for WPP Media, ensuring scalability, reliability, and innovation across diverse client needs and platforms.
• Technical Figurehead & Community Leader: Act as the senior technical authority and figurehead for data engineering across WPP Media's BI & Data Engineering teams. You will cultivate and lead a thriving community of practice among Director-level engineers, fostering knowledge sharing, standardisation, and technical excellence.
• Measure Platform Expertise & Customisation: Leverage expert-level understanding of the Measure data platform (including Adverity, Google Cloud Platform, BigQuery, dbt, and PowerBI) to design, develop, and implement bespoke, complex data ingestion, transformation, and storage solutions that meet advanced BI specifications.
• Cloud Architecture & Development: Lead the architecture, development, and optimisation of robust, scalable data pipelines and infrastructure across various cloud environments, with deep expertise in Google Cloud Platform (GCP – e.g., BigQuery, Cloud Storage, Cloud Functions, Composer) and AWS.
• Hands-on Delivery & Mentorship: Be actively involved in hands-on development of critical data solutions while providing technical guidance, coaching, and mentorship to engineers within the Wavemaker team and across broader WPP Media agencies. You will directly manage one individual, guiding their professional development.
• Drive Innovation & Best Practices: Continuously identify, evaluate, and integrate emerging trends, technologies, and best practices (e.g., data mesh, advanced CI/CD, IaC using Terraform/Terragrunt) into our data engineering workflows. Champion standard ways of working, naming conventions, and data governance.
• Stakeholder Engagement & Pitches: Collaborate closely with BI Leads, Analytics teams, planning teams, and clients to translate complex business requirements into clear, commercially viable technical designs. Represent our data engineering capabilities effectively in client pitches and strategic discussions.
• Data Quality & Governance: Establish and enforce rigorous data quality standards, validation processes, and governance policies to ensure the accuracy, completeness, and consistency of all data assets.
• Commercial Impact: Work with BI leadership to identify opportunities to drive revenue through the adoption and enhancement of our BI product suite, ensuring our data solutions provide maximum commercial value.

Skills and Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

Essential:

• Progressive experience in data engineering, analytics engineering, or a related field, with demonstrated leadership responsibilities.
• Proven experience leading technical practices and fostering a community of technical experts across multiple teams or business units.
• Deep, hands-on expertise in designing, implementing, and managing data solutions on both Google Cloud Platform (GCP) (e.g., BigQuery, Cloud Storage, Dataflow, Composer, Cloud Functions) and AWS.
• Expert-level proficiency in SQL and experience with modern data transformation tools like dbt (Data Build Tool).
• Comprehensive understanding and practical experience with the architecture and components of a unified data platform (including Adverity for data ingestion).
• Infrastructure as Code (IaC) & CI/CD: Experience with IaC tools like Terraform or Terragrunt, and a strong understanding of CI/CD pipelines (e.g., GitLab CI/CD, GitHub Actions) for automated deployment and testing.
• Expertise in designing and implementing robust data models (e.g., star schema, data vault) for analytical and reporting purposes.
• Strong understanding of leading BI and visualisation tools (e.g., Power BI, Tableau, Looker Studio)
• Exceptional communication, presentation, and interpersonal skills, with a proven ability to engage, influence, and translate complex technical concepts for both highly technical and non-technical senior stakeholders and clients.

Desirable:

• Understanding of digital advertising, media campaign data, ad serving technologies, and web analytics.
• Proficiency in one statistical programming language (e.g., Python or R) for data manipulation, automation, and advanced analytics.
• Experience with data mesh principles and implementation strategies.
• Familiarity with Agile/Scrum development methodologies.
• Experience with project management tools such as Jira and Confluence.
• Prior experience acting as an external thought leader or presenter in the data engineering or BI space.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location

#LI-Promoted

309 - Lead Architect, Cloud – Choreograph Consulting

About WPP Media

WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com.

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About Choreograph: A Leading WPP Media Brand

Choreograph is WPP’s global data products and technology company. We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation.

We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through the Open Media Studio, an AI-enabled media and data platform for the next era of advertising.

We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world.

Role Summary and Impact

We are hiring a Lead Architect, Cloud to drive the technical delivery of Azure-based data engineering and cloud configuration engagements within client environments.

As the senior technical authority on the engagement, you will design, architect, and implement modern data platform solutions on Microsoft Azure, establish CI/CD practices, and guide engineers to follow reference architectures and standards.

You will sit within the Cloud Architecture team, partnering closely with Data Engineering, Platform/DevOps, Security, and Client Delivery to ensure designs translate into resilient, cost-effective and compliant implementations.

This role combines hands-on architecture with leadership of the technical approach, enabling consistent delivery quality across multiple client projects. You will mentor engineers, review designs and own key technical decisions and trade-offs.

Area of expertise

• Azure data platform architecture: Data Lake/Lakehouse patterns (ADLS Gen2, Delta Lake), Synapse Analytics, and/or Azure Databricks.
• Orchestration and integration using Azure Data Factory (pipelines, mapping/wrangling data flows, integration runtimes) and event-driven patterns (Event Hubs, Service Bus).
• CI/CD for data and infrastructure (Azure DevOps or GitHub Actions) including blue/green deployments, approvals and environment promotion.
• Infrastructure-as-Code using Bicep and/or Terraform; reusable modules, policy-as-code, and environment baselines.
• Secure-by-design cloud configuration: networking, private endpoints, managed identities, Key Vault, RBAC, Purview governance, data masking.
• Data engineering practices: batch and streaming pipelines, data quality testing, schema management, and performance optimization (Spark/Synapse SQL).
• Observability and operations: Azure Monitor, Log Analytics, Application Insights, cost/performance telemetry, and SLAs/SLOs for pipelines.
• Azure Well-Architected Framework alignment (reliability, security, cost, performance, operations) and FinOps-aware design.
• API and integration design with Azure Functions, Logic Apps, and API Management for data services.

Skills and Experience

At WPP Media, we believe in the power of our culture and our people. It’s what elevates us to deliver exceptional experiences for both our clients and each other. In this role it will be critical to embrace WPP & WPP Media’s shared core values:

• Be Extraordinary by Leading Collectively to Inspire transformational Creativity.
• Create an Open environment by Balancing People and Client Experiences by Cultivating Trust.
• Lead Optimistically by Championing Growth and Development to Mobilize the Enterprise.

• Hands-on architect who sets clear reference architectures and patterns, then leads by example through implementation and code reviews.
• Designs for operability, security, and cost from the start; makes pragmatic trade-offs and documents decisions.
• Automates everything possible with IaC and CI/CD; favors repeatability over one-off builds.
• Clear communicator who can facilitate client workshops, write concise design docs/runbooks, and align cross-functional teams.
• Inclusive leader who mentors engineers, invites diverse viewpoints, and creates shared ownership of outcomes.
• Outcome-focused: measures success with deployment frequency, lead time for changes, data pipeline SLAs, cost efficiency, and reliability metrics.
• Consultative and client-facing, able to translate business requirements into technical roadmaps and phased delivery.

Responsibilities

• Lead architecture and end-to-end delivery of Azure data platforms for clients, including landing zones, networking, identity, and data platform services (Azure Data Lake Storage, Synapse, Databricks).
• Design and implement Azure Data Factory pipelines and data flows for ingestion, transformation, and orchestration; establish patterns for parameterization, retries, and error handling to meet pipeline SLAs.
• Establish CI/CD for data and infrastructure (Azure DevOps/GitHub): repo strategy, branching, pull requests, multi-stage pipelines, approvals, environment promotion, and artifact/versioning strategy.
• Define and deliver infrastructure-as-code using Bicep and/or Terraform; create reusable modules and policy-as-code guardrails to ensure consistent, compliant environments.
• Implement secure-by-default configurations: private endpoints, managed identities, Key Vault-backed secrets, RBAC, network isolation, data encryption, and Purview cataloging/lineage.
• Optimize performance and cost across compute and storage (e.g., Spark cluster sizing, autoscaling, partitioning, caching, lifecycle policies, serverless options); track and report savings.
• Introduce DataOps practices: automated testing (unit/integration), data quality checks, schema enforcement, and promotion gates; reduce change failure rate and improve lead time.
• Define monitoring and observability for pipelines and platforms using Azure Monitor, Log Analytics, and custom metrics; design alerting that drives fast MTTR.
• Guide the design of streaming and micro-batch patterns (Event Hubs, Kafka on Azure, Structured Streaming) where required by the use case.
• Partner with Security and Platform teams to align with Azure Well-Architected, landing zone standards, and compliance requirements (e.g., GDPR data controls); support audit-ready documentation.
• Lead technical workshops, produce architecture diagrams, HLDs/LLDs, and runbooks; present designs at client design authorities and steer technical decision-making.
• Provide technical leadership to engineering teams: mentor, review code/IaC, unblock delivery, and ensure adherence to reference architecture and non-functional requirements.
• Plan phased roadmaps and migration paths from legacy platforms; de-risk cutovers through rehearsal and roll-back strategies.
• Contribute to internal accelerators, templates, and best practices that raise delivery consistency across engagements.

Requirements

• Hands-on experience in cloud data engineering/architecture with a focus on Microsoft Azure.
• Proven leadership as a lead/principal engineer or architect delivering Azure data platforms in client environments.
• Expertise with Azure Data Factory (pipelines, data flows, integration runtimes) and at least one of Synapse Analytics or Azure Databricks (Spark).
• Strong CI/CD experience using Azure DevOps or GitHub Actions for both IaC and data workloads; environment strategy, approvals, and automated testing.
• Proficiency in Infrastructure-as-Code with Bicep and/or Terraform; reusable modules and policy enforcement (Azure Policy).
• Solid data engineering fundamentals: SQL and one of Python/Scala; performance tuning for Spark/Synapse; data modeling for analytical workloads.
• Secure Azure configuration: VNets, private endpoints, managed identities, Key Vault, RBAC; understanding of Purview governance and data protection patterns.
• Observability and operations experience: Azure Monitor, Log Analytics, alerting, pipeline SLAs, and incident playbooks.
• Excellent client-facing communication, architecture documentation, and stakeholder management skills.
• Nice-to-have
• Event-driven architectures with Event Hubs, Kafka, Stream Analytics, or Functions; CDC patterns (e.g., ADF, Debezium).
• Lakehouse/Delta patterns on Databricks; MLflow and feature store awareness; Synapse/Dedicated SQL Pools performance optimization.
• Data quality tooling and frameworks (Great Expectations, Deequ) and dbt for transformation governance.
• FinOps practices for Azure cost governance and tagging/chargeback models.
• API Management, Logic Apps, or Power Platform integration experience.
• Experience with Azure landing zones, Enterprise Scale architecture, and Azure Policy/Blueprints (or equivalent).
• Relevant certifications: Microsoft Certified Azure Solutions Architect Expert, Azure Data Engineer Associate, or equivalent.

Life at WPP Media & Benefits

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.  

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

#LI-Promoted

SVP, DATA, TECH & ANALYTICS (UK Government) 

About WPP Media
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients and communities. For more information, visit wpp.com

WPP Media is WPP’s global media collective. In a world where media is everywhere and in everything, we bring the best platform, people, and partners together to create limitless opportunities for growth. For more information, visit wppmedia.com

About our Data, Tech and Analytics Division

We’re on a mission to transform marketing by building the fastest, most connected data platform that bridges marketing strategy to scaled activation. We work with agencies and clients to transform the value of data by bringing together technology, data and analytics capabilities. We deliver this through WPP Open, an AI-enabled media and data platform for the next era of advertising. We’re endlessly curious. Our team of thinkers, builders, creators and problem solvers are over 1,000 strong, across 20 markets around the world. Our UK Data, Tech and Analytics capabilities are central to our success, empowering WPP Media’s clients with a full range of services that deliver tangible impact. This SVP role sits at the pinnacle of our dedicated offering for the UK Government, overseeing a multi-disciplined team of specialists.

Position Overview

The SVP, Data, Tech & Analytics for the UK Government Account will be the ultimate leader responsible for defining, orchestrating, and delivering WPP Media's entire data, technology, and analytics vision for this critical client. This executive will provide direct leadership and strategic integration for 20+ individuals across three disciplines - Analytics, Business Intelligence & Data Management and Data Strategy.

This role serves as the most senior strategic partner to the UK Government on all data, tech, and analytics matters, ensuring that WPP Media consistently delivers transformative solutions that drive the effectiveness of government communications. Reporting directly to Owain Wilson, EVP, Data Strategy, the SVP will hold ultimate accountability for the strategic roadmap, commercial success, operational excellence, and innovation agenda across the entire data and analytics portfolio for the UK Government.

Responsibilities

Executive Leadership & Strategic Vision:

• Define and articulate the overarching data, tech, and analytics vision for the UK Government, ensuring alignment with their public sector objectives.
• Provide executive oversight and strategic direction to the VP Analytics, VP BI & Data Management, and VP Data Strategy, fostering seamless collaboration to deliver an integrated service.
• Drive the strategic adoption and maximisation of WPP Media's technology and data ecosystem, specifically WPP Open and Open Intelligence, and oversee the successful operation of a specific UK Government data environment that powers applications and strategic decisions.

Client Partnership:

• Act as the most senior strategic data, technology, and analytics partner to key UK Government leadership, including marketing directors, and effectiveness leads.
• Cultivate deep, trusted relationships that position WPP Media as an indispensable advisor, proactively identifying and securing opportunities for advanced data, tech, and analytics solutions.

Integrated Delivery & Operational Excellence:

• Hold ultimate accountability for the highest standards of delivery across all Data, Tech & Analytics functions, from the data ingestion and reporting infrastructure (Data Management & BI) to innovative audience architecture (Data Strategy) and end-to-end campaign evaluation (Analytics).
• Champion operational efficiency and automation across the data workflow, including the integration with the Cabinet Office’s proprietary technology.
• Ensure the effective application of AdTech and MarTech solutions to optimise campaign performance, with a clear strategy for integrating UK Government-owned technology with WPP's technology.

Innovation, Data Governance & Ethical Practice:

• Lead the innovation agenda for Data, Tech & Analytics for the UK Government, evaluating and implementing cutting-edge solutions, including defining the strategic questions and use cases for Agentic AI, and staying at the forefront of industry and academic developments.
• Instil and enforce the highest standards of data governance, privacy (e.g., GDPR), ethical data usage, and security protocols across all data operations for sensitive UK Government data.
• Act as a thought leader, representing WPP Media in key forums like the Ethics Steering Group, and elevating the discussion around responsible data and AI use in public sector communications.

Team Leadership & Talent Development:

• Lead, inspire, and empower a high-performing leadership team comprising the VP Analytics, VP BI & Data Management and VP Data Strategy.
• Foster a culture of continuous learning, collaboration, excellence, and innovation across the entire data, tech, and analytics function for the UK Government account.
• Attract, develop, and retain top-tier talent, building a best-in-class team capable of addressing the complex challenges of government communications.

Skills and Experience required

• Progressive experience in senior leadership roles within Data, Tech & analytics, ideally within a media agency, consultancy, or client-side marketing organisation.
• Significant exposure to public sector clients would be highly beneficial.
• A strategic, visionary, and decisive leader with a highly collaborative and adaptable approach, comfortable navigating complexity within a large global organisation.
• Demonstrated expertise in moving beyond conceptual ideas to lead the practical application of AI and Machine Learning in a media context, with a deep understanding of how to leverage technologies like Agentic AI for insight generation and operational efficiency.
• Recognised as a forward-thinker and innovator, with a demonstrable ability to stay at the forefront of AI advancements and translate them into a tangible competitive advantage and new value for clients.
• Demonstrable track record of defining and executing enterprise-level data and analytics strategies that drive significant business outcomes.
• Extensive experience leading, managing, and integrating large, multi-disciplinary teams across data strategy, business intelligence, data management, and advanced analytics.
• Exceptional executive-level client relationship management skills, with proven ability to influence and consult with C-suite and senior government stakeholders, translating complex technical and analytical concepts into compelling strategic narratives.
• Deep understanding of the media planning and buying lifecycle, and the critical role of data and technology in driving effectiveness.
• Expertise in data governance, privacy regulations (e.g., GDPR), ethical data handling, and robust security protocols, especially in a highly regulated environment.
• Strategic familiarity with modern data stacks (e.g., cloud platforms like GCP, ingestion tools like Adverity, visualisation tools like PowerBI, and data transformation tools like dbt) and data clean room technology (e.g., InfoSum).
• Strong familiarity with advanced analytics techniques (MMM, attribution, incrementality), data engineering principles, data visualisation tools, and emerging technologies like AI/Machine Learning.
• Outstanding communication, presentation, and storytelling skills, capable of engaging and inspiring diverse internal and external audiences.

Life At WPP Media & Benefits
Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office around three to four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.

Please note this is a UK based role and requires individuals to have the right to work in this location

Please read our Privacy Notice (https://www.wppmedia.com/pages/privacy-policy) for more information on how we process the information you provide.

While we appreciate all applications received, only those candidates selected for an interview will be contacted.