Senior Data Scientist - Supply

About us

We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.

Great journeys start with Trainline 🚄

Now Europe’s number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be.

Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Train liners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey.

Data Science & Analytics (DSA) is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded alongside Data Analysts in cross-functional teams which exist across commercial and product. Data Scientists have a high degree of autonomy and are empowered to drive the success of their teams, using all data and techniques at their disposal.

As a Senior Data Scientist, you will be involved in driving insights and strategy for the commercial and supply teams, helping Trainline understand and improve its coverage and offerings. You will create focus through the right metrics, guide decisions with robust analysis, and shape strategy through evidence. Your role is to uncover the underlying dynamics of a complex rail ecosystem and turn them into clear direction and measurable impact, using the analytical and statistical techniques that best unlock value.

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

• Develop deep understanding of the network and supply ecosystem and how these shape Trainline’s growth.

• Contribute to roadmap and priorities for the commercial + supply domains, ensuring alignment with Trainline’s growth strategy.

• Drive cross-functional reviews with commercial, carrier, and product stakeholders to track performance against goals.

• Identify and articulate new opportunities, helping shape where Trainline should invest.

• Support product interventions and commercial initiatives through data-driven experimentation and analysis, enabling accountability and impact.

• Define focus through metrics, market intelligence, and product understanding.

• 5+ years commercial experience using data science and analytics to drive business decisions.

• Experience working in complex supply/demand environments (transport, marketplaces, travel, e-commerce, etc.).

• Skilled in analysing availability, capacity, and pricing data to uncover growth opportunities or diagnose performance issues.

• Strong grasp of experimental design and causal inference in less-controlled environments where attribution is difficult).

• Comfort balancing strategic framing (where to invest, how to win) with operational analytics

• Strong PowerPoint and presentation/ communication skills.

• Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc.

• Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like…