Let’s start with the role

We are seeking a highly motivated and experienced Technical Project & Partner Manager to join our dynamic team. This role is ideal for a professional who excels at managing relationships with external development vendors and has a deep understanding of the technical project lifecycle within the iGaming industry. 

You will be the primary point of contact for our key partners, overseeing technology projects from initiation to completion and ensuring they are delivered on time, within budget, and according to specifications. In addition, you will manage relationships with external vendors, ensuring the delivery of high-quality services and products, optimizing vendor performance, and mitigating associated risks. The ideal candidate is a strategic thinker with excellent communication skills, a proven track record in project and vendor management, and a passion for the online gaming world.

As a Technical Project Manager, you will:

Vendor Management:

• Identify, evaluate, and select suitable vendors for IT projects and services.
• Negotiate contracts, service level agreements (SLAs), and pricing with vendors.
• Manage vendor relationships by ensuring clear communication, collaboration, and alignment with project goals.
• Monitor vendor performance against contractual obligations and SLAs.
• Evaluate vendor performance, identify areas for improvement, and address any performance issues.
• Manage vendor contracts, ensuring compliance with terms and conditions.
• Mitigate risks associated with vendor relationships.
• Ensure the delivery of required services or products within budget and timelines.
• Assess and onboard specialized AI technology partners, evaluating their agentic AI capabilities, integration readiness, and compliance with strict industry regulations.

Project Management:

• Define project scope, objectives, and deliverables in collaboration with internal and external stakeholders.
• Develop and manage detailed project plans, including timelines, budgets, and resource allocation.
• Lead and manage project teams, ensuring effective communication, collaboration, and performance.
• Monitor project progress, identify and resolve issues, perform escalations when necessary and track key performance indicators (KPIs).
• Ensure projects adhere to project management methodologies and best practices.
• Evaluate new technologies and make recommendations for their use in projects.
• Oversee the end-to-end lifecycle of AI projects—from proof-of-concept (PoC) to deployment—ensuring safety, data privacy, and alignment with organizational goals.
• Champion the adoption of AI-driven tools and agentic AI architectures (e.g., LLM-based autonomous agents) to automate repetitive workflows, optimize internal processes, and enhance overall delivery efficiency.

Leadership Responsibilities

• May be responsible for managing a team of project coordinators, technical staff, or vendor management specialists.
• Provide leadership, guidance, and mentorship to team members.
• Set performance expectations, provide improvement suggestions, conduct performance reviews, and support employee development.
• Foster a collaborative and results-oriented team environment.
• Manage team budgets and resources.

What you will bring

• Bachelor's degree in Computer Science, Information Technology, Business Administration, or a related field.
• Proven experience (typically 5+ years) in IT project management, with a strong understanding of project management methodologies (e.g., Agile, Waterfall).
• Demonstrated experience (typically 3+ years) in vendor management, including vendor selection, contract negotiation, and performance management.
• Technical proficiency in relevant IT areas, such as software development, infrastructure, or systems integration.
• Strong leadership, communication, and interpersonal skills.
• Excellent analytical, problem-solving, and decision-making abilities.
• Ability to manage multiple projects and priorities simultaneously.
• Strong negotiation and contract management skills.
• Ability to build and maintain effective relationships with internal stakeholders and external vendors.
• Knowledge of IT procurement processes and best practices.
• Practical experience or a strongly demonstrated interest in Artificial Intelligence, Large Language Models (LLMs), and emerging Agentic AI frameworks
• Familiarity with the unique challenges of AI/ML project lifecycles, including prompt engineering, model evaluation, and mitigating risks associated with autonomous system deployments
• A proactive approach to evaluating how cutting-edge technologies (like Generative AI) can solve traditional operational bottlenecks
• PMP or other relevant project management certification is a plus.

Kaizen Gaming Perks

• 🕑 Hybrid way of working
• 🏃 A buddy will support you with your onboarding
• 💸 Competitive pay & bonus scheme
• ⭐Developmental 360° feedback framework
• 💰 Monthly meal allowance
• 👩‍⚕️ Private health insurance for you and your family
• 📚 Unlimited access to Udemy & continuous training
• 👨‍👩‍👧‍👦 Family Support.

#LI-Hybrid

#LI-gs1

About us:

We believe the next generation of financial services will be powered by stablecoins.

Founded in 2021, our mission at BVNK is to accelerate global money movement.

We’re building stablecoin-native infrastructure so businesses can move value instantly across borders and networks. With global licenses and T1 bank partnerships, we facilitate billions in transactions for enterprise clients like Worldpay, Deel, LianLian Global, and Rapyd.

Our technology is transforming how businesses operate globally by eliminating payment delays, reducing costs, and unlocking trapped capital. 

We’re a diverse team spread across EMEA, North America, and APAC, with a shared belief that stablecoins are the new infrastructure layer for financial services, and that BVNK is at the forefront of this shift.

In 2025, we secured strategic investment from Visa, following our $50 million Series B with Haun Ventures, Coinbase Ventures, Scribble Ventures, DRW Venture Capital, Avenir, and Tiger Global. With the backing of these leading investors, we’re accelerating our growth – and we're looking for smart, ambitious people to help us build the future of financial services.

We're incredibly honored to have made Newsweek's list of The Top 100 Global Most Loved Workplaces three years running (most recently in 2025) and to have been recognised by LinkedIn as one of the Top 20 Startups in the UK in 2024.

About this role in the team:

We're looking for an experienced Financial Crime Product Manager to join our team. In this role, you will be responsible for the end-to-end product lifecycle of our financial crime tools and systems, managing the engineering backlog, and driving a roadmap focused on mitigating financial crime risk. This role is crucial to ensuring our technology remains robust, compliant, and ahead of evolving threats like money laundering, fraud, and sanctions evasion.

You will act as the key liaison between the business and our engineering teams, translating complex financial crime requirements into clear, actionable user stories. You will manage the backlog, prioritize tech debt, and champion new features and innovation that directly enhance our ability to detect and prevent illicit financial activity across multiple product lines.

Responsibilities

• Product Strategy & Roadmap: Develop and maintain a clear, prioritised product roadmap for all FinCrime tools and systems. Ensure this roadmap aligns with business objectives, regulatory requirements, and our overall risk strategy.
• Backlog Management: Own and manage the engineering backlog. This includes writing detailed user stories, refining requirements, and prioritising features, enhancements, tech debt, and bugs to ensure a continuous and efficient development cycle.
• Stakeholder Management: Serve as the primary point of contact for engineering teams. Effectively communicate product vision, requirements, and priorities. Work closely with Compliance, Legal, Financial Crime Intelligence, and other business stakeholders to gather requirements and define product solutions.
• Innovation & Enhancement: Proactively identify opportunities for innovation and new features that improve the effectiveness and efficiency of our financial crime prevention capabilities. This includes leveraging new technologies like machine learning and AI to enhance our detection models.
• Regulatory & Compliance Expertise: Stay up-to-date with global financial crime regulations (e.g., AML, KYC, Sanctions, and Fraud) and emerging trends. Ensure our products are built and maintained in a way that meets or exceeds these compliance standards.
• Performance Analysis: Define and track key performance indicators (KPIs) for our FinCrime products. Use data and insights to inform product decisions, measure success, and identify areas for improvement.
• Risk & Prioritization: Prioritise work based on a clear understanding of risk, business value, and technical complexity. Make difficult trade-off decisions to balance competing priorities from different business units.

Required Qualifications & Experience

• 3+ Years of experience as a Product Manager, preferably within the FinTech, Financial Services, or a related technology-driven environment.
• Proven experience managing an engineering backlog and working directly with development teams in an Agile or Scrum framework.
• Strong understanding of financial crime prevention, including Anti-Money Laundering (AML), Know Your Customer (KYC), Sanctions Screening, and Fraud Detection.
• Excellent communication skills with the ability to articulate complex technical and regulatory concepts to both technical and non-technical audiences.
• A data-driven mindset and a track record of using data to inform product decisions.
• Experience in a highly regulated industry.

Desirable Skills

• Familiarity with financial crime tools and platforms (e.g., Transaction Monitoring systems, Case Management tools, Sanctions Screening software).
• Experience with multiple products and complex stakeholder groups.

What you can expect from us:

• Fair and competitive salary at every stage of your growth
• Meaningful ownership in the business through our employee option scheme
• Flexible working hours, with hybrid working at its heart
• A culture built on passionate, growth-minded people
• A flexible approach to holiday
• Opportunities to travel to our offices around the world
• An open and creative environment where you can help us define the future of BVNK, its culture, and its opportunity sets

At BVNK, we are focused on building a diverse and inclusive team. While you may not meet all of our requirements, we’d encourage you to apply if you meet the majority of our expectations. You may be a great fit for this role or another role in our team.

The Wow

We’re looking for a hands-on Technical Lead to help shape the future of our Artificial Intelligence platform at Betsson Group. You’ll guide complex technical decisions, support engineers across multiple squads, and collaborate with product and architecture teams to deliver high-performing services used by millions of players. This is an opportunity to work with bleeding edge technology, define the standards for the agentic architecture, drive best practices, and help your colleagues grow, all while staying technically involved yourself.

A taster of what you will be involved with: 

As a senior technical voice in the AI area, your focus will be on raising engineering and architecture standards, define and explore the technology stack, and mentoring others to reach their full potential. You’ll lead design discussions, troubleshoot complex problems, guide delivery efforts, and contribute directly to our codebase when it matters most. Alongside our architects, you’ll ensure technical decisions align with wider product goals and platform direction. You’ll also play a key part in building a collaborative, high-performing team culture. Whether reviewing code, coaching engineers, or helping assess new tools, your influence will shape how we work and what we deliver.

What we are looking for

• Proven experience designing and delivering production ready AI Applications
• Strong technical background in Machine Learning and Generative AI
• Knowledge on Fine tuning foundation models and using python
• Experience building context systems using RAG, Vector Stores and MCP
• Experience on Designing and implementing AI Agents using frameworks like LangGraph and LangChain
• Experience mentoring or leading engineers in a technical capacity

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

Challenge accepted?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

We believe that diverse teams build better companies. That’s why we’re committed to providing a fair and inclusive recruitment process for all candidates. We do not tolerate discrimination of any kind and make hiring decisions based solely on skills, experience, and potential.

The Wow

As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.

A taster of what you will be involved with: 

• Design, implement, and optimize machine learning models to solve complex business problems.
• Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.
• Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
• Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.
• Write and maintain high-quality, production-ready code for machine learning models and services.
• Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.

What we are looking for:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.
• Proficiency in Python, MLFlow and Spark would be considered an asset.
• Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.
• Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

Challenge accepted?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

The Wow

As a Machine Learning Engineer, you will play a pivotal role in designing, developing, and deploying advanced machine learning models that enhance our products and services. You will collaborate with cross-functional teams to solve complex problems and drive the adoption of machine learning solutions across the organization.

A taster of what you will be involved with: 

• Design, implement, and optimize machine learning models to solve complex business problems.
• Oversee the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring.
• Work closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems.
• Stay up-to-date with the latest advancements in machine learning and apply them to improve model performance and functionality.
• Write and maintain high-quality, production-ready code for machine learning models and services.
• Provide guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.

What we are looking for:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments.
• Proficiency in Python, MLFlow and Spark would be considered an asset.
• Experience with cloud platforms (AWS, GCP, Azure). Experience with AWS Sagemaker would be preferred.
• Strong problem-solving skills and the ability to analyse complex data sets to derive actionable insights.
• Excellent communication skills, with the ability to explain complex concepts to both technical and non-technical stakeholders.

What we offer

• Fitness-wellness allowance  🧗‍♂️
• Company mobile phone for private use with 100 GB  📱
• Annual HUF devaluation compensation  💡
• Hybrid model: 3 days in the office 🏢  & 2 days from home  🏠
• Private Health Insurance  🩺
• Career development  📈
• Technical and soft-skill training opportunities 🎓
• Breakfast, fruits & lunch 🍎
• Team building events  🥳

Challenge accepted?

If you are interested to learn more, please apply with your CV in English.

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

Exciting Opportunity Ahead!!  Betsson Group is looking for a Head of AI to be based in our Malta Headquarters.

The Wow

We are seeking an experienced and visionary Head of AI to lead our AI initiatives across the company. This strategic leadership role involves establishing a Center of Excellence, promoting the integration and utilization of AI across the organization, spearheading innovative AI solutions, and enhancing our suite of products and services by embedding AI and machine learning to achieve company’s business outcomes supporting the accelerated growth pace.

A taster of what you will be involved with: 

• Strategic Leadership:
  • Develop and execute a comprehensive AI strategy that aligns with the company’s overall goals, drives innovation into company’s products and services and optimize our technology operations and development life cycle.
  • Stay updated on industry trends, emerging technologies, and best practices to inform strategy development and ensure competitiveness.
  • Direct the exploration and implementation of new AI technologies and methodologies, including Generative AI and MLOps.

• Team Building and Leadership:
  • Establish and scale a high-performing AI team, including recruiting and mentoring top talent.
  • Foster a diverse and inclusive team culture that values collaboration, innovation, and continuous learning.
  • Provide leadership, set clear performance objectives, KPIs and support professional development of the team
  • Serve as the lead point of contact across multiple teams, ensuring cohesive progress on AI projects

• Solution Development and Implementation:
  • Design and deploy a framework and a platform to leverage and standardize the utilization of AI and Machine learning across the company
  • Design and develop advanced machine learning models and responsible AI solutions to support real-time and very low latency applications.
  • Foster a culture of innovation and collaboration, working closely with product managers, engineers, and other stakeholders.
  • Continuously monitor and optimize AI models and algorithms to ensure they deliver accurate, reliable results.

What we are looking for

• Master’s or Ph.D. in Computer Science, Machine Learning, Artificial Intelligence, or a related field.
• At least 5 years of experience in AI Field, have developed AI solutions and products, with significant experience in a leadership role within a high-growth AI environment. Proven ability to manage and scale AI teams and developing cutting edge solutions with AI and Machine Learning embedded for large and complex production environments with real time requirements. Demonstrated expertise in managing complex Data/AI/ML projects and delivering results in a fast-paced environment.
• Proficiency in AI technologies, event driven and real time data analytics environments, development and utilization of machine learning algorithms, MLOps, online feature stores for real time low latency applications, Generative AI Cloud Frameworks and Prompt/Agent Engineering
• Stay abreast of emerging trends and technologies in the AI and ML space to proactively implement improvements, suggest innovative ways and ensuring Betsson remains at the forefront of innovation in this dynamic field.
• Exceptional strategic thinking and problem-solving skills, with a robust understanding of business operations and market dynamics to innovate.
• Excellent communication and leadership skills, capable of inspiring teams and translating complex AI concepts into clear business strategies to be communicated to the C-Level Management and manage different stakeholders at different levels of seniority and skills.

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

Challenge accepted?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

The Product & AI Operations Specialist enables Product teams to adopt and embed AI into their everyday workflows.

The Wow

Working in close partnership with Product Operations and the Core AI and Engineering teams, the role focuses on operationalising AI for Product, shaping how product knowledge, inputs, decisions, and workflows are structured, governed, and made consumable by AI systems. 

The emphasis is on real impact: improving operational hygiene, reducing low value manual work, and enabling teams to work faster and more consistently, without adding process, overhead, or complexity. 

A taster of what you will be involved with: 

• Embedded within Product Operations, supporting Product, Design, and Research 
• Focused on execution and enablement, not AI or platform strategy ownership 
• Acts as a righthand partner to Product Operations for AI related initiatives 
• Bridges Product thinking with AI operational design and orchestration 
• Strong bias toward practical, repeatable solutions over theory 
• Focused on patterns and scalability rather than one off solutions 
• Measures success through adoption, usage, and workflow improvement 

What you will be involved with

• Supporting the identification and prioritisation of AI adoption opportunities across Product teams 
• Researching, testing, and validating AI tools to understand where they add real value to Product workflows 
• Designing and operationalising AI enabled workflows for activities such as documentation, planning, QA support, reporting, and reviews 
• Shaping how product knowledge, inputs, and decisions are structured, reviewed, curated, and maintained for AI consumption 
• Improving team hygiene through AI assisted summaries, insights, and structured outputs 
• Embedding AI into everyday product workflows, rituals, and tooling in a consistent and scalable way 
• Defining standards, patterns, and guardrails for how AI is used across Product Operations 
• Creating and maintaining Product side AI agents, prompts, and workflows at the operational layer 
• Partnering closely with Engineering and Core AI teams to ensure Product inputs are correctly structured for downstream AI workflows 
• Supporting approaches to tool ingestion, knowledge curation, and review processes, without owning underlying systems or platforms 
• Identifying reusable patterns and workflows that can be scaled across teams 
• Sharing learnings, patterns, and practical recommendations with Product Operations and stakeholders 

What we are looking for

• Experience working with AI, machine learning, or generative AI in practical, applied contexts 
• Strong understanding of product or digital delivery environments 
• Comfortable working with modern AI tools, platforms, and automation concepts 
• Ability to move quickly from idea to validated, repeatable operational solutions 
• Pragmatic mindset with a focus on what works in real world team settings 
• Hands on approach to designing, testing, and improving workflows and standards 
• Experience or interest in tools such as OpenAI, Microsoft Copilot, Claude, GitHub Copilot, Cursor, or similar 
• Strong problem solving skills and ability to translate business needs into operational solutions 
• Comfortable working across Product, Design, Engineering, and AI stakeholders 

Success definition

• AI is embedded into everyday workflows across Product teams 
• Low value operational tasks are reduced or automated at scale 
• Documentation, summaries, and reporting are consistently high quality and loweffort 
• Product knowledge and decisions are captured in clearer, more structured formats 
• Teams operate faster with reduced manual overhead 
• AI adoption increases without introducing additional complexity or process burden 
• Reusable workflows and patterns reduce duplication and fragmentation over time 

What this role is not

• Does not own core AI platforms or production systems 
• Does not replace Engineering, Data, or Core AI responsibilities 
• Does not independently develop or deploy production code 
• Focuses on Product Operations enablement, not technical delivery ownership

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

Challenge accepted?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

We are seeking a Product Owner to join our Data & AI Product Team. Reporting to a Senior Product Manager and based at the Betsson Experience Centre in Ta’ Xbiex, Malta.

The Wow

As part of the Data & AI Product Team, you will collaborate closely with crossfunctional development teams to deliver valuedriven solutions across multiple business areas. You will be responsible for products spanning Data Ingestion, Business Intelligence, Artificial Intelligence, and Machine Learning, ensuring they deliver meaningful business impact. You will contribute to the Data & AI product vision and roadmap, acting as an ambassador for Data & AI products and clearly communicating their value across the organisation. The role involves translating ideas into well-defined requirements, maintaining product artefacts in Jira and Confluence, and working closely with technical teams to ensure successful delivery. 

A taster of what you will be involved with: 

• Prioritise initiatives and backlog items based on business value and impact 
• Contribute to the Data & AI product vision and roadmap, ensuring alignment with business objectives 
• Translate ideas and opportunities into clear business requirements in close collaboration with development teams 
• Own and maintain healthy, prioritised backlogs for Data & AI products 
• Lead refinement and sprint planning sessions with technical teams 
• Act as an ambassador for Data & AI products, promoting their value and adoption across the organisation 
• Partner with Product Teams across the business to deliver crossdomain initiatives 
• Engage stakeholders effectively, managing expectations and ensuring clear, consistent communication 
• Serve as a reliable point of contact for the Data & AI function 
• Ensure delivered products meet agreed quality standards and reflect the expectations of an organisation like Betsson 
• Communicate roadmap updates, progress, and delivery status to key stakeholders 

What we are looking for

• Proven experience in a Product Owner role 
• Previous exposure to Data, Analytics, AI, or Machine Learning products 
• Strong analytical and business analysis skills, with the ability to simplify complex problems 
• Comfortable working with Jira and Confluence for backlog management and documentation 
• Able to prioritise effectively, balancing shortterm delivery with longterm value 
• Confident communicator, able to engage and influence stakeholders at different levels 
• Meticulous, organised, and reliable, with a strong focus on quality and delivery 

What we offer

Much like riding a rollercoaster, sometimes life at Betsson can be lightning fast with twists and turns but always FUN! Then again, what else would you expect from a business 75% millennial and 1700 strong, spread across 7 offices with 900 based out of our Malta HQ alone! We recognise it may not be for the faint-hearted, but if you’re a go-getter, initiator and adrenaline junkie, always striving to push the boundaries and challenge yourself, then you’ll fit right in.

Challenge accepted?

By submitting your application, you understand that your personal data will be processed as set out in our Privacy Policy

RightShip is scaling its use of AI from traditional ML models to advanced LLM-based reasoning systems, to support safer and more sustainable maritime operations. We are looking for a Data Scientist who can bridge both worlds: classical data science and modern AI/LLM governance.

This role is responsible for defining how models should be evaluated, monitored and governed across their lifecycle. You will work closely with domain experts, the existing AI team, data engineering and product teams to ensure our AI systems behave consistently, accurately and responsibly.

This is not an LLM-engineering or roadmap ownership role. It is a senior position focused on methodological leadership, model quality, and governance across AI and ML systems.

Major Responsibilities 

• Establish Best Practices for AI/LLM & Traditional ML Experimentation:
• Develop experimental methodologies for both classical ML and LLM-based systems.
• Standardise how experiments are structured, documented and compared across teams.
• Create reproducible workflows for testing prompts, model versions, embeddings and classical feature models.
• Ensure statistical soundness and methodological rigour in all experiments.
• You define “what goods like” in experimentation.
• Own the Evaluation Framework for Model Behaviour:
  • Build and maintain evaluation datasets, test suites and metrics for:
    • reasoning accuracy (LLMs)
    • classification performance (traditional models)
    • consistency and drift
    • hallucination checks
    • edge-case handling
    • domain-alignment
• Continuously refine the evaluation approach as the AI team iterates on models.
• Translate Domain Logic into Structured Model-Ready Logic
  • Work with maritime SMEs to understand inspection logic, safety reasoning and operational decisoin pathways.
  • Convert that knowledge into:
    • Classification schemas
    • Decision flows
    • Label definitions
    • Reasoning templates
    • Structured input/output rules for LLMs and ML models
• Ensure model behavior is grounded in real-work operational judgement.
• Support AI Team Experimentation . You will :
  • Provide guidelines, quality criteria and methodology for the AI team’s test design.
  • Review final experiments and highlight gaps, inconsistencies or risks.
  • Ensure that experimentation aligns with the governance, evaluation and lifecycle frameworks you maintain.
  • Maintain the benchmark suite the AI team must compare against.
• Conduct Traditional Data Science & ML Work
  • You will also contribute hands-on to classical data science tasks such as:
  • Analysis of structured datasets.
  • Feature engineering and exploratory data analysis.
  • Building classification or scoring models as needed (supervised ML).
  • Supporting domain teams with insights, prototypes or predictive modelling.
  • Working with data engineers to refine the data required for ML.
• Model Monitoring & Lifecycle Governance
  • Build processes for ongoing monitoring of AI behaviour and model drift.
  • Investigate anomalies or unexpected outputs.
  • Identify failures rooted in data, logic, edge cases or prompt structure.
  • Recommend corrective actions (model retraining, logic updates, new test suites, prompt refinement).
  • Maintain transparent documentation, audit trails and governance standards aligned with RightShip’s risk posture.

Qualifications, Skills & Experience  

• Bachelor’s or Masters (preferred) degree in Data Science, or relevant field.
• 7+ years in Data Science, Applied ML or AI-focused role
• Postgraduate studies or AI governance training is advantageous.
• Curious, a critical thinker and a strong sense of logic
• Superior mathematical ability
• Strong experience building and evaluating classification and supervised ML models.
• Excellent communication and presentation skills
• Excellent at establishing standards others can follow confidently.
• Proficiency in Python, SQL and model evaluation frameworks.
• Familiarity with MLflow (or equivalent), Vector DBs or LLM orchestration tools is a plus.
• Ability to influence through expertise rather than authority.

The Data Analyst will help the organisation continue to build world class data driven products to solve some of the most challenging problems in the maritime industry by maintaining and improving quality across critical data sets.  

This role will be responsible for providing analytical insights into our data to support RightShip’s strategy and mission. The Data Analyst is a proven self-starter who is able to communicate complex data analysis in a clear, precise, and actionable manner and deliver quality and best-practice reporting solutions for internal and external stakeholders.  

Major Responsibilities 

• Perform data exploration and analysis using SQL, Databricks, and Genie to uncover trends, patterns, and anomalies.  
• Design and develop Power BI dashboards and reports, including semantic models, DAX measures, and visual storytelling.  
• Build and maintain Databricks AI/BI dashboards and Databricks Genie Spaces to enable conversational, selfservice analytics.  
• Translate business needs into analytical requirements, partnering with stakeholders to shape metrics, models, and insights.  
• Define and maintain logical data models and metric definitions, ensuring consistency, clarity, and alignment with governance.  
• Generate actionable insights through data storytelling, narrative summaries, and AIassisted explanations.  
• Conduct data quality checks and ensure governed usage across sources, models, dashboards, and Genie outputs.  
• Support experimentation and light data science work, including statistical analysis, hypothesis testing, and MLready dataset preparation.  
• Enable and train business users to leverage Power BI, Databricks, and Genie for selfservice analytics.  
• Continuously improve analytics processes, evaluating new GenAI and BI capabilities to automate, accelerate, and enhance insights. 
• Partner with key stakeholders across the business to understand data and reporting needs and to define requirements 
• Collaborate with different teams within the business, to provide timely and successful issue resolution  

Qualifications, Skills & Attributes 

• Demonstrable experience with Power BI, including advanced data modelling, semantic layer design, and enterprisegrade report development.  
• Strong handson DAX capabilities, able to write complex calculations that support KPI logic, advanced time intelligence, and governed metric definitions.  
• Excellent SQL skills (TSQL or similar) with proven experience transforming, profiling, and extracting insights from large and complex datasets.  
• Solid data modelling expertise using dimensional and industrystandard approaches (Kimball, Inmon), and the ability to design models optimised for analytics and AIassisted querying.  
• Deep knowledge of data visualisation best practices, with the ability to craft insightdriven dashboards and compelling data stories across Power BI and AIenhanced tools.  
• Experience working within a modern SDLC, including source control, environment management, and CI/CD practices for BI or analytics artefacts.  
• Strong analytical and problemsolving mindset, comfortable managing multiple competing priorities while maintaining clarity, accuracy, and rigor.  
• Exceptional attention to detail, ensuring highquality analytical outputs, validated metrics, and accurate insights for decisionmaking.  
• Highquality communication skills, able to translate complex data concepts into simple, actionable insights for business stakeholders across functions.  
• Ability to work efficiently in a fastpaced, distributed team, adapting quickly to new information, tools, and evolving priorities (including Databricks and Genie).  
• Bonus: Working knowledge of Databricks, AI/BI Genie, or conversational analytics tools is highly advantageous for enabling selfservice insights and GenAIpowered analysis.