Data Scientist

Overview

As a Data Scientist in Trainline’s New Business team, you will shape growth beyond rail tickets by applying analytics to new travel experiences. You will be embedded in cross-functional product teams, driving insights, experimentation, and monetisation strategies to create measurable value. You’ll model customer behaviour, evaluate product impact, and translate findings into actionable recommendations for stakeholders. This role offers autonomy to influence product direction and deliver high-impact outcomes at scale.

Pay / Benefits

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

Responsibilities

• Own data science work end-to-end within an embedded product team, from framing the question to delivering a solution and measuring impact
• Explore customer behaviour and product usage to identify friction, opportunities, and quantify benefits
• Contribute to seamless customer journeys by removing barriers and adding value
• Design, run and analyze experiments using sound statistical methods and define metrics
• Build and improve models such as forecasting, personalization or customer behaviour prediction to enhance experience and drive growth
• Translate findings into clear, practical recommendations for product and monetisation strategy for both technical and non-technical audiences

Key requirements

• Hands-on data science experience in real product or customer problems
• Proficiency with Python and SQL for exploring large datasets, building models, and writing readable code
• Experience with product engagement evaluation and A/B testing
• Ability to explain complex ideas simply to diverse audiences
• Interest in monetisation, advertising, recommendations or e-commerce (desirable)
• Familiarity with tools such as dbt, Looker or Tableau (not essential)
• Tech Stack: SQL, Python, R, Tableau, AWS Athena + More!

• Clear communication across audiences
• Ability to explain complex ideas simply
• Proactive, impact-driven mindset
• Python
• SQL
• R

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