Data Scientist

Overview

As a Data Scientist in Trainline’s Customer Growth team, you shape how marketing is measured and understood to drive commercial decisions. You’ll own a set of fast-moving measurement projects, applying Python, causal inference and geo-experimentation to reveal marketing impact. You will combine signals from multiple sources, translate findings into practical recommendations, and collaborate with cross-functional partners to improve measurement capabilities and decision-making. This role offers the chance to influence growth through rigorous, data-driven marketing insights and to help Build Trainline’s marketing measurement maturity.

Pay / Benefits

• private healthcare & dental insurance
• generous work from abroad policy
• 2-for-1 share purchase plans
• EV Scheme to reduce carbon emissions
• extra festive time off
• family-friendly benefits

Responsibilities

• Design and deliver robust measurement approaches for marketing effectiveness and incremental impact
• Apply Python, causal inference and geo-experimentation techniques to analyze performance
• Fuse evidence from multiple data sources to present a balanced view where no single method suffices
• Translate analytical findings into actionable recommendations for marketing investments
• Collaborate with marketing, analytics and cross-functional teams to define questions and scope
• Manage multiple analytical projects simultaneously balancing pace, quality and business value
• Apply pragmatic judgement with incomplete data and clearly communicate assumptions and confidence
• Contribute to the development of Trainline’s marketing measurement capabilities and tooling

Key requirements

• Strong practical experience using Python to analyze data, build measurement approaches and communicate findings
• Experience applying causal inference, geo-experimentation or related methods to real-world business questions
• Pragmatic, commercially focused approach with ability to balance rigor and timely decisions
• Strong communication skills to explain technical concepts to varied stakeholders
• Ability to manage several projects or workstreams concurrently
• Experience working with cross-functional teams to translate business questions into analyses
• Ideally familiarity with marketing measurement, marketing effectiveness or marketing mix modelling, but transferable experience welcome
• Curiosity, good judgement and willingness to work with ambiguity

• Strong communication
• Collaboration with cross-functional teams
• Curiosity and willingness to experiment
• Python
• Causal inference
• Geo-experimentation

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