Data Scientist

At Trainline, our purpose is to empower greener travel choices, connecting people and places.

As a Data Scientist at Trainline, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, and building deep learning about what is most impactful for each team.

You will be responsible for influencing product and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will:

• Own data science work from start to finish within an embedded product team, from shaping the right question with your colleagues to delivering a solution and measuring its impact
• Explore customer behaviour and product usage to uncover areas of friction, spot new opportunities and estimate the benefit of acting on them
• Contribute to simple, seamless customer journeys by identifying where we can remove barriers and add value
• Design, run and analyse experiments using sound statistical methods, and help define metrics
• Build, test and improve models such as forecasting, personalisation or customer behaviour prediction that enhance the customer experience and support business growth
• Turn your findings into clear, practical recommendations that help shape product and monetisation strategy, tailoring your message for both technical and non-technical audiences

We'd love to hear from you if you have:

• Hands-on experience applying data science to real product or customer problems, ideally within an embedded or cross-functional team
• Confidence using Python and SQL to explore large datasets of customer activity, build models and write efficient, readable code
• Experience of product engagement evaluation and measurement of success. For example, running A/B tests to evaluate product effectiveness or using front-end data to quantify the effectiveness of new features and how it changes user engagement.
• The ability to explain complex ideas simply and adapt how you communicate for different audiences
• Ideally, an interest in monetisation, advertising, recommendations or e-commerce, and familiarity with tools such as dbt, Looker or Tableau, although none of these are essential
• Tech Stack: SQL, Python, R, Tableau, AWS Athena + More!

Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for-1 share purchase plans, an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits.

We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy.