Data Scientist - UK

About the Role

As a Senior Data Scientist on our Analytics team, you will own end-to-end problems that combine applied statistics, experimentation, and machine learning to drive measurable improvements in how our retail AI products perform in the real world. You will work on ambiguous, open-ended questions, define the right approach, and deliver insights and models that influence the roadmap of Product, Engineering, and Operations.

This is a senior individual contributor role. You will set the technical direction for your projects, partner with cross-functional stakeholders, and act as a force multiplier for analytics quality across the company.

What We Are Looking For

• You are a rigorous thinker who treats data as evidence, not decoration, and is comfortable telling a clear story about uncertainty
• You have strong technical chops in SQL and Python, and you reach for the right tool, statistical, experimental, or ML, based on the problem in front of you
• You can design experiments, reason about causality, and identify when a correlation is enough and when it is not
• You are comfortable owning ambiguous, open-ended problems and breaking them down into a credible plan
• You communicate findings crisply to technical and non-technical audiences, in writing, in dashboards, and in person
• You raise the bar for the team through code review, methodology review, and mentorship of less senior analysts and scientists

What You Will Be Doing

• Own analytical problems end to end from problem framing and metric definition through data acquisition, modeling, validation, and stakeholder rollout
• Build predictive and inferential models such as forecasts, propensity and uplift models, and survival or duration analyses, where they meaningfully improve a product or operational decision
• Develop statistical methods and reusable analyses for measuring performance, including detection accuracy, intervention impact, and downstream operational outcomes
• Partner with Product, Engineering, and Operations to define key metrics, implement new features, and translate business questions into well-scoped analytical work
• Audit system outputs and provide structured feedback that improves product accuracy and reliability
• Communicate findings through dashboards, written analyses, and stakeholder presentations that lead to concrete decisions
• Help define best practices around data quality, experimentation, modeling, and reproducibility, and contribute to the team's data contracts and SOPs

Requirements

• 5+ years of experience as a Data Scientist, Quantitative Analyst, or similar role, with a track record of shipping analyses and models that changed product or business decisions
• Strong proficiency in SQL, including complex CTEs, window functions, and query optimization
• Strong proficiency in Python for data work, including pandas