Role Summary

We are looking for a technically strong AI / ML Developer with hands-on expertise in training and fine-tuning Small Language Models (SLMs) and RAG Solutions. The ideal candidate will drive end-to-end AI Solutions — from dataset curation and pre-processing to training, evaluation, and production deployment. You will collaborate closely with product, product engineers, and infrastructure teams to build AI solutions that are efficient, scalable, and business-aligned.

Key Responsibilities

1  Model Design & Training

• Design, train, and fine-tune Small Language Models (SLMs) using frameworks such as PyTorch, TensorFlow, or JAX.
• Conduct experiments with supervised fine-tuning (SFT), reinforcement learning from human feedback (RLHF), and instruction tuning.
• Implement efficient training pipelines leveraging distributed training (DDP, FSDP) across GPU/TPU clusters.
• Perform hyperparameter optimisation, ablation studies, and model selection based on benchmark results.
• Develop and maintain data pipelines for collecting, cleaning, tokenising, and pre-processing large-scale training corpora.

2  Model Evaluation & Quality

• Define and implement evaluation frameworks including perplexity, BLEU, ROUGE, BERTScore, and task-specific benchmarks.
• Conduct red-teaming, bias analysis, and safety evaluations to ensure responsible AI deployment.
• Benchmark models against established baselines (e.g., GPT-2, Phi, Mistral) and track performance over iterations.
• Collaborate with QA teams to build regression suites for model versioning and continuous evaluation.

3  MLOps & Deployment

• Containerise and deploy models using Docker, Kubernetes, and cloud-native ML platforms (AWS SageMaker / GCP Vertex AI / Azure ML).
• Build and maintain model registries, experiment tracking (MLflow, Comet), and reproducible training pipelines.
• Optimise inference performance through quantisation (INT8, INT4), pruning, distillation, and ONNX/TensorRT conversion.
• Monitor model drift, data drift, and performance degradation in production; implement automated retraining triggers.

4  Research & Innovation

• Stay current with state-of-the-art NLP/LLM research; prototype and validate new techniques from published literature.
• Contribute to internal knowledge sharing, technical documentation, and model cards.
• Explore parameter-efficient fine-tuning (PEFT) methods such as LoRA, QLoRA, and Adapter layers.
• Investigate and apply mixture-of-experts (MoE), retrieval-augmented generation (RAG), and agentic workflows as needed.

5  Collaboration & Stakeholder Management

• Work with product managers and domain experts to translate business requirements into model objectives and KPIs.
• Communicate model capabilities, limitations, and trade-offs clearly to both technical and non-technical stakeholders.
• Participate in architecture reviews, sprint planning, and cross-functional design discussions.

Required Qualifications

1  Education

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related quantitative field.
• Equivalent professional experience with a strong portfolio of delivered AI/ML projects will be considered.

2  Experience

• 4 – 6 years of professional experience in machine learning or NLP engineering.
• Minimum 2 years of direct, hands-on experience in training or fine-tuning language models (LLMs or SLMs).
• Demonstrable experience taking a model from dataset preparation through to production deployment.

3  Technical Skills — Core

• Programming: Python (proficient); familiarity with C++/CUDA a plus.
• Deep Learning Frameworks: PyTorch (primary), TensorFlow or JAX.
• NLP Libraries: Hugging Face Transformers, Datasets, PEFT, TRL, Accelerate.
• Training Infrastructure: Multi-GPU training, FSDP, DeepSpeed ZeRO stages 1–3.
• Data Engineering: Pandas, NumPy, Apache Spark or Dask for large-scale data prep.
• Vector DBs & Retrieval: FAISS, Pinecone, Weaviate, or equivalent.
• Cloud Platforms: AWS, GCP, or Azure — ML-specific services (SageMaker, Vertex AI, etc.).
• Version Control & CI/CD: Git, GitHub/GitLab, MLflow or W&B for experiment tracking.

4  Technical Skills — Nice to Have

• Experience with multimodal models or vision-language models (VLMs).
• Knowledge of model safety, alignment techniques, and responsible AI frameworks.
• Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks.
• Contributions to open-source ML projects or publications at NeurIPS, ICML, EMNLP, ACL.

Behavioural Competencies

• Intellectual Curiosity: Keeps up with rapidly evolving AI research and applies learnings pragmatically.
• Problem Solving: Approaches ambiguous problems with structured, data-driven thinking.
• Ownership: Takes full accountability for model quality, timelines, and production reliability.
• Collaboration: Works effectively in cross-functional teams with diverse skill sets.
• Communication: Distils complex technical concepts for diverse audiences.
• Adaptability: Thrives in a fast-paced environment where priorities evolve with research breakthroughs.

Overview of job 

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.

Role Summary & Impact

WPP Media is seeking a Senior Executive - Ad Operations to become an integral part of our Advertising Operations team. Within our team, you will be responsible for the set-up, execution and delivery of digital campaigns.

You will work with both internal teams and external parties to ensure campaign delivery objectives are met. You will have expert knowledge of ad serving systems and a passion for new and emerging technologies. You will also have a collaborative and “can do” attitude to help interface with our Analytics and Media team and deliver exceptional media solutions.

Reporting of the role: This role reports into Senior Manager Adops

• Serve as a trafficking expertise owning the set-up, management, and execution of several of our top accounts, while maintaining a high-quality standard for the Advertising Operations department to ensure 100% accuracy and to exceed client expectation
• Monitor campaign delivery to ensure campaigns are running as expected and targeting objectives are met; including checking daily reports and providing troubleshooting support for trafficking issues related to creative, publisher implementation, and escalating to third party vendors when necessary
• Collaborate with team members by providing guidance on how to continually improve operational processes, supporting systems and communication channels where needed
• Act as a strategic partner within account teams; providing consultation to clients on the correct setup of campaigns, tagging of client sites, and the use of web technologies to meet client needs.

What you’ll bring:

• Ideally at least 2 years’ experience in Advertising Operations with demonstrable knowledge of ad serving, DCM and preferably gained agency side
• An exceptional ability to learn new concepts.
• Great communication, organizational and project management skills
• Demonstrable ability to recognize and resolve problems quickly and efficiently Diligent and attentive to detail; able to follow through on projects and/or issues.
• Good analysis skills (including quantitative analysis) and confidence in making information-based decisions.
• Computer literate with superior knowledge of Excel.
• Knowledge of Google docs is a plus.

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 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.

#LI-Promoted

ClearView Healthcare Partners is a premier life sciences strategy consulting firm headquartered in Boston, with offices in San Francisco, New York City, London and Gurgaon. Serving clients in the biopharmaceutical, medical device, and diagnostic spaces, we provide world-class strategic decision-making support across a diverse range of business issues. Our goal is to inform actionable recommendations that allow companies to achieve their business objectives. 

ClearView’s Data & Analytics practice is looking for motivated individuals to join our team as Data Analysts to accelerate the continued growth of our capabilities. Members of the data team work closely with the consulting staff and senior leadership to solve complex and unique problems in the life sciences. The data analysts will leverage common tools (i.e., SAS, SQL, R, and Python), large data sets, and creativity to build models and processes to support ClearView’s clients.

Responsibilities: 

As a Data Analyst, you will interact with internal and external teams to address critical strategic questions within the biopharmaceutical space. During the course of a typical project, you will: 

• Collect, clean, mine, and analyze data. 

• Serve as a knowledge resource for the consulting staff regarding statistics, machine learning, and life sciences data. 

• Design and create advanced models to drive analytically driven strategy projects. 

• Innovate project approaches and identify new life sciences problems to solve with analytics. 

• Aid in team building by making code scalable through templates, macros, or interfaces. 

• Clearly communicate analytical techniques and findings from analyses in a non-technical manner. 

• Work in a high-performance, strongly collegial, and collaborative environment. 

Requirements 

The successful candidate for the Data Analyst role must have the following skills and experience: 

• Bachelor’s degree or above in Statistics, Mathematics, Machine Learning, Physics, or a related field. 

• Relevant experience of 1-3 years working on insurance claims and EHR databases – IQVIA (LAAD), Komodo (Sentinel), Forian, Compile and others.   

• Experience with large data manipulation in SAS or SQL interfaces. 

• Experience with life science APIs & public datasets (e.g., PubMed, OpenTrials, CMS, CDC, etc.). 

• Experience in at least one of the following areas: 

• Excel modeling (using a spreadsheet to make quantitative predictions based on a series of underlying assumptions). 

• Common machine learning models (e.g., neural networks, support vector machines, decision trees). 

• Advanced regression models (e.g., Bayesian, hierarchical, non-linear). 

• Unsupervised learning. 

• Advanced time series. 

• Detail-oriented with the ability to dive deep into business processes, data, and analytics. 

• Independent, creative, and driven quantitative thinker.
• Role is based out of our Gurgaon, India office.  

Description:

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Senior Quantitative Trader for our team in Gurgaon. We trade across a multitude of asset classes and trading venues with significant market share and constantly seeking to replicate our successes to newer exchanges and products.

As a Senior Quantitative Trader your responsibilities will include

• Develop and deploy completely automated systematic strategies with short holding periods and high turnover
• Typical strategies deployed include Alpha-seeking strategies and Market Making
• Rigorously back-test strategies on in-house research infrastructure

Graviton can offer a successful Quantitative Trader 

• Exceptional financial rewards
• Friendly and collegial working environment
• Access to advanced trading systems for low-latency execution of strateiges
• Excitement of being a part of a new expanding trading business

Requirements :

• Deep experience in HF/UHF Trading
• Live HF Trading experience for at least 2 years.
• PnL Track record with excellent sharpe ratios.
• Programming experience in C++ or C
• Proficiency in using Python, R, or Matlab for statistical/data analysis of HFT tick data
• Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science

Benefits:

Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices , disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends!

Our perks have you covered.

• Competitive compensation
• 4 Weeks of paid vacation
• Monthly after work parties
• Catered breakfast and lunch
• Fully stocked kitchen
• Gym membership
• International team outing

Description:

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a Software Engineer for our team in Gurgaon. Our Core Technology team has some of the best programmers in India working on cutting edge technologies to build a super fast and robust trading infrastructure handling millions of dollars worth of trading transactions every day.

Requirements

• Contribute to all layers of backend systems including databases, APIs and applications
• Design, build and maintain applications for business requirements
• Architect scalable and reliable applications
• Write clean and modular code, following good coding standards and practices
• Troubleshoot and debug applications
• Be involved in the entire application lifecycle
• Collaborate with multidisciplinary team of front-end developers, engineers and system administrators
• Devise innovative solutions to address new and complicated challenges
• Build reusable code and libraries for future use
• Take lead on projects, as needed
• Work in a high paced competitive environment

Qualifications

The ideal candidate will have:

• Engineering degree in Computer Science (preferred) or any other discipline from a Tier 1 college. 
• 3 to 4 years of relevant experience in designing and improving information systems
• Proficiency in Python programming
• Extensive experience working with relational databases and handling large datasets
• Good Understanding of object oriented and asynchronous programming
• Familiarity with front-end languages such as HTML, JavaScript and CSS
• Knowledge of Linux systems and bash scripting
• Good communication and interpersonal skills
• Willingness to continuously learn and improve
• Ability to work in fast paced environment under pressure and manage multiple high priority projects

Good to have:

• Experience in Financial services space/domain
• Experience in and understanding of system design decisions
• Experience in leading small teams or projects

Benefits:

Our open and casual work culture gives you the space to innovate and deliver. Our cubicle free offices, disdain for bureaucracy and insistence to hire the very best creates a melting pot for great ideas and technology innovations. Everyone on the team is approachable, there is nothing better than working with friends!

Our perks have you covered.

• Competitive compensation
• 4 weeks of paid vacation
• Monthly after work parties
• Catered breakfast and lunch
• Fully stocked kitchen
• International team outing

Description:

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets' research. We are seeking a Quantitative Researcher for our team in Gurgaon. This team trades across a multitude of asset classes and trading venues using a gamut of concepts and techniques ranging from time series analysis, filtering, classification, stochastic models, pattern recognition to statistical inference analysing terabytes of data to come up with ideas to identify pricing anomalies in financial markets.

Responsibilities:

• Develop new or improve existing trading models using in-house platforms
• Use advanced mathematical techniques to model and predict market movements
• Analyse large financial datasets to identify trading opportunities
• Provide real time analytical support to experienced traders

Requirements:

• Possess a degree in a highly analytical field, such as Engineering, Mathematics, Computer Science from IITs schools
• Quantitative bent of mind
• A working knowledge of Linux/Unix
• Programming experience, preferably in C++ or C
• No prior knowledge of financial markets is needed but must have a strong interest in learning about financial markets.
• Have a strong work ethic
• Hard Working

Benefits:

Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends!

Our perks have you covered.

• Competitive compensation
• Annual international team outing
• Fully covered commuting expenses
• Best-in-class health insurance
• Delightful catered breakfasts and lunches
• A well-stocked kitchen
• 4 week annual leaves along with market holidays
• Gym and sports club memberships
• Regular social events and clubs
• After work parties

Graviton is a privately funded quantitative trading firm striving for excellence in financial markets research. We are seeking a skilled Application Reliability Engineer to be the first line of defense for ensuring the reliability, availability, and performance of our databases, services, and trading support systems. You’ll not only monitor, troubleshoot, and resolve production issues, but also build automation, improve observability, and drive long-term stability of mission-critical systems. You’ll work closely with developers, traders, and infrastructure teams to triage issues, manage deployments, and continuously improve operational workflows.

The ideal candidate will possess a strong background in technical support, with a passion for problem-solving and a commitment to excellence.

As a Application Reliability Engineer, you will be responsible for:

• Monitor production services and respond quickly to alerts, incidents, and outages to ensure smooth operation and minimal downtime.
• Monitor trading systems and infrastructure.
• Triage issues across trading support services, databases, and infra; escalate and coordinate with the right owners, and drive root-cause analysis and ensure fixes are implemented for long-term stability.
• Serve as the first line of defense for trading operations.
• Proactively identify, address recurring issues, and build automation to reduce manual intervention.

• Improve observability by enhancing monitoring, logging, and alerting systems.
• Develop and maintain operational runbooks and SLO/SLA metrics.

Requirements :

• Possess a degree in a highly analytical field, such as Engineering, Mathematics, or Computer Science
• Upto 2 years of experience in Python, Shell/Bash scripting.

Experience with Linux and shell online tools

• Hands-on experience with databases (SQL, NoSQL)
• Strong problem-solving and analytical skills
• Excellent communication skills
• Ability to remain calm and analytical under production pressure

Good to have:

• Familiarity with monitoring/alerting stacks (Prometheus, Grafana, ELK, etc.)
• Familiarity with distributed messaging (Kafka) and caching systems (Redis)
• Experience with CI/CD pipelines and deployment automation
• Prior experience in a support, SRE, or production engineering role

• Experience in High-Performance Computing with extensive practical hands-on experience in deploying High-Performance Clusters
• Have experience with cluster management Tools
• Worked on Parallel Filesystem Environments - Optional
• Exposure to multiprocessor and multithreading concepts
• Experienced with Operating Systems: Linux.
• Testing, User Support and Troubleshooting, RTA of issues.

• Degree in EE/CS/CSE. Bachelors graduates will also be considered with exceptional background and prior experience in HPC field.
• Proficient in programming skills in Python/Bash
• Good understanding and exposure to the Linux operating system at the user level.
• Experience with large-scale distributed HPC systems
• Understanding of large-scale batch processing systems(PBS Pro/Torque/Slurm); approaches to efficient scheduling;
• Preferred HPC system monitoring and automation tools.

Benefits:

Our open and collaborative work culture gives you the freedom to innovate and experiment. Our cubicle free offices, non-hierarchical work culture and insistence to hire the very best creates a melting pot for great ideas and technological innovations. Everyone on the team is approachable, there is nothing better than working with friends!

Our perks have you covered.

• Competitive compensation
• Annual international team outing
• Fully covered commuting expenses
• Best-in-class health insurance
• Delightful catered breakfasts and lunches
• A well-stocked kitchen
• 4 week annual leaves along with market holidays
• Gym and sports club memberships
• Regular social events and clubs
• After work parties

Tesco Media & Insight Platform is a partnership between Tesco, the UK’s largest grocery retailer, and dunnhumby. Fueled by first‑party behavioral data from over 23 million Clubcard holders, we help brands understand consumer behaviors and reach the right customers, at the right time, with the right message across the full marketing funnel. Our closed‑loop measurement connects what customers see with what they buy, helping brands Shape What Britain Buys and maximize the impact of every pound of media investment.

Roles and Responsibilities 

As a Senior AI Engineer, you will be a hands‑on technical contributor designing, building and operating production‑grade GenAI and agentic AI solutions that power Tesco Media & Insight Platform’s global products and services. You will work closely with the AI Engineering Manager, Product, Data Science and Engineering teams to turn business problems into secure, scalable, observable AI systems that deliver measurable value for brands and shoppers.

• Design and implement GenAI and agentic AI solutions on GCP, leveraging Vertex AI (models, endpoints, pipelines, vector search/RAG, Agent Builder) and core GCP services.
• Build AI agents and multi‑step agentic workflows, including tool calling, orchestration, and integrations with internal and external systems.
• Contribute to the design of MCP servers and agent‑to‑agent / agent‑to‑application protocols to enable safe, reliable automation of retail media and insight use cases.
• Work with the AI Engineering Manager and architects to define solution designs, interface contracts and non‑functional requirements (security, reliability, performance, cost).
• Implement security, privacy and governance controls in AI solutions, including safe prompt and tool design, data protection, secrets management and access control.
• Apply DevOps/MLOps practices: contribute to CI/CD pipelines for models, prompts and agents; use infrastructure as code; support environment management and automated testing.
• Implement observability for AI systems: instrument prompts, model calls, tools and agents with tracing, metrics and logs; build and maintain dashboards and alerts.
• Help define and run AI testing and evaluation strategies, including automated tests, offline and online evaluation, red‑teaming, regression suites and human‑in‑the‑loop review flows.
• Collaborate with Retail Media and Insight teams to understand use cases and data, and translate requirements into concrete AI components and services.
• Write high‑quality, well‑tested code in Python (and, where relevant, TypeScript/Java or similar) following team standards for readability, performance and reliability.
• Participate in code reviews, design reviews and incident post‑mortems, and contribute to continuous improvement of our AI engineering practices.
• Stay current on advances in LLMs, agentic frameworks and cloud AI services, and bring forward ideas for how they can be applied to Tesco Media & Insight Platform.

What you’ll need to succeed in the role

• Strong experience in software/data/ML engineering, with hands‑on delivery of AI/ML or LLM‑based solutions into production (not just prototypes).
• Practical experience on GCP and Vertex AI, including deploying models, building pipelines, and implementing RAG/vector search‑based solutions.
• Solid understanding of LLMs and foundation models: transformers at a high level, tokenization, embeddings, context windows, RAG, and the trade‑offs between fine‑tuning, adapters and prompt‑based approaches.
• Hands‑on experience building agentic workflows or AI agents (e.g. tool‑augmented chat, multi‑step workflows, or multi‑agent systems) using one or more modern frameworks or platforms.
• Good grasp of security and safety for AI systems, including prompt and tool design to reduce hallucinations and prompt injection, safe handling of sensitive data, and application‑level guardrails.
• Experience with DevOps/MLOps practices: CI/CD, version control, automated testing, infrastructure as code, monitoring and incident handling in a cloud environment.
• Strong programming skills in Python and experience building and consuming APIs; familiarity with microservices and event‑driven architectures is a plus.
• Ability to design and run evaluation and experimentation for AI features, including quantitative and qualitative measures and, where appropriate, human‑in‑the‑loop review.
• Strong problem‑solving skills, attention to detail, and a willingness to take ownership of complex technical challenges.
• Clear, proactive communication and the ability to collaborate effectively with product managers, data scientists, engineers and commercial stakeholders across locations.

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 

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. 

Role Summary and Impact   

The Manager / Senior Associate, Client Analytics reports to the Director of Analytics, working to design, customize and maintain platforms for business analytics and measurement. You would have excellent oral and written communication skills, be client obsessed, self-motivated and able to operate both as a team and independently with limited guidance and direction

The Manager / Senior Associate, Client Analytics is following the direction of Director of Analytics and is responsible for data manipulation and visualization, performing quantitative data analysis, problem solving, statistical modeling, and developing/analysing business cases.

WHAT YOU WILL DO   

• Apply deep knowledge of basic statistics (significance testing, correlation analysis, confidence intervals, descriptive statistics) to support analytical solutions.
• Use statistical modelling techniques (regression, classification) to extract business value from campaign data.
• Utilize programming languages (Python, R, SQL), statistical packages (SciPy), and Google tools (BigQuery, Tensorflow, Datalab) to prototype and deliver data-driven solutions.
• Recommend and develop technical solutions with guidance from senior leadership.
• Define project scope, setup, and effort estimation in collaboration with the account Analytics lead.
• Build and maintain strong relationships with Analytics leads and gain a deep understanding of client challenges.
• Work closely with key stakeholders to assess project needs and ensure delivery of best-in-class analytics work.
• Collaborate with regional leadership on process development, improvement, and compliance.
• Support campaign measurement, determine incremental lift from marketing activities, and manage reporting and data needs (ingestion, cleaning, delivery).
• Code in SQL and Python to create reports and build dashboards; automate recurring workloads to improve efficiency.
• Generate meaningful insights using advanced analytics/statistical techniques; create dashboards and presentations for wider teams.
• Ensure continuous collaboration and progression across bands, disciplines, and offices.

Skills and Experience  

• 3–6 years of relevant industry experience in analytics-focused roles.
• Degree in an applied quantitative field (data science, mathematics, statistics, engineering, economics, business management, computer science, or related).
• Understanding of marketing campaigns, objectives, and measurement techniques; prior experience in digital agency or consulting preferred.
• Proficient coding skills in statistical software (R, Python, SciPy), programming languages (SQL, Python), and MS Office tools (especially advanced Excel/Google Sheets).
• Experience in owning and delivering analytics projects, including correlation, regression, significance testing, A/B tests, and supervised machine learning.
• Practical understanding of data science techniques, statistical analysis, and modelling.
• Passion for data analysis, troubleshooting data anomalies, integrating data from multiple sources to create repositories for data science models.
• Ability to transform raw data into actionable business insights for decision-making and strategic planning.
• Strong logical thinking, problem-solving, and stakeholder management skills.
• Excellent verbal and written communication skills.
• Adherence to quality standards and ability to plan and prioritize work.
• Experience using or building reports with business intelligence tools is a plus.
• Experience in applying big data, statistics, and analytical techniques to solve client problems is preferred.
• Business acumen to provide actionable strategic recommendations is preferred

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 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. 

We’re looking for a talented Retail Media Performance Analyst who will turn complex data into clear insights that help Tesco Media grow revenue and improve performance. You will analyse how our in‑store and online media products are performing, spot opportunities to optimise yield, and work closely with sales, product and commercial teams to make smarter, faster decisions. Essentially, this role helps ensure we use our inventory in the most effective and scalable way. The role is responsible for simplifying and synthesising complex data from multiple sources to generate clear, actionable insights across Tesco’s in‑store and onsite media products. Working closely with cross‑functional teams, the role will support accurate business reporting, in‑flight performance understanding, and optimisation opportunities across our retail media portfolio. 

What we expect from you 

• Bachelor’s degree or equivalent in any subject
• 3-5 years of work experience
• Experience working for a media owner or retailer, across instore or onsite channels. Specifically, Campaign Management experience for a media owner or retailer, across digital channels. 
• Quantitative and qualitative problem-solving skills, comfortable with complex trackers for sales reporting & analysis, forecasting and modelling. 
• Working knowledge of visualizing large data sets and proficiency in statistics.  
• Experience in analysis of large data sets for developing actionable recommendations to build ROAS. 

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 

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. 

Profile Summary: A highly skilled and client-focused Client Analytics Manager specialising in delivering insightful measurement and performance analysis for global clients. Proficient in leveraging various data sources and analytical tools to provide strategic recommendations that optimise marketing campaigns and drive business outcomes. Expertise in managing client relationships, translating complex data into clear, actionable insights, and ensuring the delivery of best-in-class analytical support for high-value accounts.  

Key Skills: 

• Strong analytical and quantitative skills with a focus on marketing performance, business impact, and client strategy. 

• Proficiency in interpreting measurement data from various vendors to provide strategic insights. 

• Experience with data visualisation tools (e.g., Tableau, Power BI) and advanced Excel for reporting and analysis. 

• Familiarity with advertising platforms like DV360 and The Trade Desk, enabling effective understanding of campaign data and optimisation opportunities. 

• Ability to translate complex data analysis into clear, concise, and actionable recommendations for clients and internal stakeholders. 

• Excellent communication and presentation skills, with a proven ability to manage client expectations and foster strong relationships. 

• Solid understanding of marketing KPIs, campaign optimisation, and measurement methodologies. 

• Experience with SQL and/or Python for data extraction and preliminary analysis. 

Description: 

• Manage and deliver high-quality analytics and measurement projects for a portfolio of global clients 

• Analyse campaign performance data, leveraging insights from various measurement vendors to identify opportunities for optimisation and demonstrate ROI. 

• Collaborate closely with client teams and internal stakeholders to define analytical objectives and deliver strategic recommendations that align with business goals. 

• Develop and present compelling reports and presentations to clients, clearly articulating findings, their business implications, and fostering a data-driven culture. 

• Ensure the consistent delivery of best-in-class analytical support, protecting existing revenue streams, maintaining client trust, and enhancing confidence in prop media solutions. 

• Provide guidance on measurement strategies and contribute to the evolution of analytical frameworks for key clients. 

Education: 

• Bachelor's Degree in Marketing, Business Analytics, Statistics, or a related quantitative discipline. 

Ideal Certifications: 

• Google Analytics Individual Qualification 

• Google Ads Certification 

• Tableau/Power BI Certification 

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 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. 

#LI-GOC

Profile Summary: An aspiring and skilled Data Scientist, eager to apply and grow expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse and extract insights from complex datasets. Will support key data science initiatives, collaborating with senior data scientists to develop and optimise solutions that drive business value. Focused on contributing to high-impact projects, while building institutional knowledge. 

Key Skills: (Sr Analyst) 

• Upto 3 yrs 

• Strong programming skills in Python and experience using Jupyter notebooks for data analysis and visualisation. 

• Familiarity with GCP services such as BigQuery, Google Cloud Functions and Vertex AI. 

• Solid understanding of machine learning techniques and their application in data activation solutions, including supervised and unsupervised learning, classification, and regression models. 

• Proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling. 

• Good communication skills, with the ability to articulate findings and support senior team members in presenting insights. 

Description: 

• Assist in the development and implementation of data science algorithms for various strategic initiatives  

• Collaborate with senior data scientists and cross-functional teams to design and execute A/B tests, analysing results to contribute actionable insights and recommendations. 

• Utilise Python and Jupyter notebooks to preprocess and analyse large datasets, identifying trends and patterns that inform strategic decision-making. 

• Contribute to the optimisation of marketing campaigns and other business processes through data-driven approaches. 

• Support the presentation of findings and insights to internal stakeholders, ensuring clarity and impact. 

• Engage in ongoing learning and development to enhance data science capabilities and contribute to team growth. 

Education: 

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline. 

Ideal Certifications: 

• Python for Data Science (Coursera) 

• Google Cloud Machine Learning Engineer (Associate) 

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 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. 

#LI-GOC

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 

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. 

Profile Summary: An aspiring and skilled Data Scientist, eager to apply and grow expertise in algorithms and data analysis. Proficient in leveraging Python, Jupyter, and GCP services to analyse and extract insights from complex datasets. Will support key data science initiatives, collaborating with senior data scientists to develop and optimise solutions that drive business value. Focused on contributing to high-impact projects, while building institutional knowledge.

Key Skills: (Sr Analyst)

• Upto 3 yrs
• Strong programming skills in Python and experience using Jupyter notebooks for data analysis and visualisation.
• Familiarity with GCP services such as BigQuery, Google Cloud Functions and Vertex AI.
• Solid understanding of machine learning techniques and their application in data activation solutions, including supervised and unsupervised learning, classification, and regression models.
• Proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling.
• Good communication skills, with the ability to articulate findings and support senior team members in presenting insights.

Description:

• Assist in the development and implementation of data science algorithms for various strategic initiatives
• Collaborate with senior data scientists and cross-functional teams to design and execute A/B tests, analysing results to contribute actionable insights and recommendations.
• Utilise Python and Jupyter notebooks to preprocess and analyse large datasets, identifying trends and patterns that inform strategic decision-making.
• Contribute to the optimisation of marketing campaigns and other business processes through data-driven approaches.
• Support the presentation of findings and insights to internal stakeholders, ensuring clarity and impact.
• Engage in ongoing learning and development to enhance data science capabilities and contribute to team growth.

Education:

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related quantitative discipline.

Ideal Certifications:

• Python for Data Science (Coursera)
• Google Cloud Machine Learning Engineer (Associate)

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 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. 

#LI-GOC

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 

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. 

Role Summary & Impact

In this role, you will be responsible for measurement planning, weekly reporting, media and creative testing/analysis, and competitive research and analysis.

Skills and Experience

• Work with senior level Insights and Analytics staff to develop project timelines and deliverable schedules
• Deliver projects while communicating project progress, issues, and deliverables to manager and director
• Conduct client calls and bring in extended team members when necessary 
• Establish a strong relationship with day-to-day clients through a demonstration of industry knowledge and a deep understanding of client’s business objectives
• Develop creative and media strategies in collaboration with other departments
• Develop measurement plans and reports that are relevant to the client’s business and their creative/media testing
• Bachelor’s degree in Marketing, Advertising, Economics, Computer Science, Information Systems, Business Analytics, OR related field; or equivalent professional work experience
• 2+ years of relevant work experience with Adobe Analytics, Google Analytics, and/or other web analytics tools Data Visualization experience (Tableau, Power BI, Domo)
• Knowledge of media industry research tools, including MRI, Media Metrix, and Nielsen Strong understanding of metrics, including Media and Quantitative business measures
• Advanced Excel skills and understanding of Microsoft Access and databases R, SAS, and SQL experience a plus

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 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. 

#LI-GOC