> Markdown version of [/jobs/ext/3878037-data-scientist](https://www.wearedevelopers.com/jobs/ext/3878037-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** The Trainline - **Location:** UK - **Contract:** Permanent contract - **Skills:** A/B Testing, Amazon Web Services, Big Data, Information Engineering, R (Programming Language), Python (Programming Language), Machine Learning, SQL Databases, Tableau (Software), Looker Analytics - **Published:** October 23, 2026 - **Apply:** https://startup.jobs/data-scientist-trainlinegroup-com-10557566 ## About the Role * 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! ## Description As a Data Scientist, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and use this to deliver insights and strategic direction, but your main focus will be a complete obsession with driving impact within the product team, drawing on whatever analytical and statistical techniques that will unlock the most benefits. Data Science and Analytics at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required. Our autonomous model creates a huge opportunity for personal influence and impact - as the data scientist on the team you will be actively driving innovation on the team by contributing to strategy, execution and continuous learning. As a Data Scientist at Trainline, you will... As a Data Scientist in our New Business team, you'll help shape how Trainline grows beyond train tickets. From insurance and protection to hotels, car hire, attractions and other travel experiences, we're exploring new ways to add value throughout the customer journey, including making it easier for customers to plan more of their trip in one place. You'll use customer insights, experimentation and analytical techniques to uncover new opportunities, influence product strategy and create meaningful value for both our customers and Trainline. As a Data Scientist, 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