Senior Data Scientist

Department: Data Science

Reporting to: Data Science Manager

Location: London or Amsterdam

Hybrid role: 3 days a week from the office & 2 days working from home

The AI Growth team builds the AI systems that make JET's marketplace more relevant for millions of customers and partners across 14 countries. We develop JET's foundation model platform, train and serve embedding models for search and recommendations, and build the intelligent targeting systems that power personalised offers and push notifications.

As a Senior Data Scientist, you will own complex, multi-component ML solutions from problem framing through to production measurement. You will be the technical lead on your workstream - making and defending modelling decisions, designing evaluation frameworks, and shaping how the team approaches new problem classes. Working closely with ML Engineers and Data Engineers, your models will reach meaningful commercial scale and impact millions of customer journeys daily.

• Own end-to-end ML projects from problem framing through to production deployment, defining approaches, managing trade-offs, and communicating findings to stakeholders
• Produce technical design documents that guide modelling choices, weighing data availability, serving latency, interpretability, and long-term maintainability
• Design and own LLM-based solutions for customer or partner representations, content personalisation, or recommendation, including training data curation and evaluation methodology
• Build evaluation frameworks that link to business metrics, run well powered online experiments, and investigate offline to online performance gaps
• Close the gap between offline model performance and online business impact through rigorous experimentation and measurement
• Act as primary technical reviewer for junior colleagues, providing substantive, teaching oriented feedback that raises the team's overall standard
• Collaborate with ML Engineers and Data Engineers to ensure models reach meaningful commercial scale across multiple markets
• Shape technical direction across the AI stack, spanning search ranking, homepage personalisation, promotions intelligence, and foundation model applications

• Several years of hands on data science experience owning ML systems end to end in production environments
• Production quality Python skills and confident SQL for working with large scale data warehouses
• Experience building offline evaluation frameworks from scratch, including metric selection, holdout strategy, leakage checks, and documented links to business metrics
• Practical experience designing data pipelines for production models, including feature specification, lookback window rationale, and handling sparse data and cold start cases
• Hands on experience with retrieval, ranking, or embedding based approaches in recommendation or personalisation contexts
• Experience building evaluation frameworks for LLM based outputs, including quality dimensions, judge pipelines, and hallucination checks
• Confidence with A/B test design at scale, including randomisation unit selection, statistical power calculations, and accounting for novelty effects
• Strong written and verbal communication skills, able to translate complex modelling decisions into clear recommendations for technical and non technical audiences
• An analytical problem solving mindset, comfortable with ambiguity and able to bring clarity to complex questions

Bonus skills:

• Familiarity with causal inference or uplift modelling in e commerce or marketplace contexts
• Parameter efficient fine tuning of large language models
• Experience with ML orchestration or experiment tracking tooling

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.