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Senior Data Scientist - B2BTrainlineLondon, England, United Kingdom

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Senior Data Scientist - B2B

Trainline
  • GB
    London, England, United Kingdom
  • GB
    London, England, United Kingdom

About

About Trainline 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.
Introducing Data Science & Analytics at Trainline 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 across product and marketing. 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 at Trainline, you will… As a Senior Data Scientist, you will be embedded within Trainline Partner Solutions (TPS), the B2B arm of Trainline that provides seamless rail travel solutions for businesses, travel retailers, and rail carriers across the UK and Europe. TPS also works to develop new technologies / products and is at the forefront of the rail industry, presenting opportunities to launch new products, work to develop product market fit and go deep with techniques like geospatial and graph analysis.
Responsibilities
Develop deep understanding of our product experiences and opportunities for growth.
Actively contribute to roadmap and goals for the product team.
Drive regular cross‑functional team reviews to measure progress toward goals.
Discover and articulate new product opportunities helping shape the team's direction.
Support product experiments, launches, growth through data‑driven decision making while keeping the team accountable and impactful.
Define focus through metrics to enable a broad spectrum of learning from experimentation/release cycles.
Qualifications
5+ years commercial experience using data science and analytics to drive business decisions.
Ability to distil and communicate results of complex analysis clearly and effectively to all levels, including senior management.
Experience of product engagement evaluation and measurement of success, e.g., 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.
Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results.
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 clustering / random forest (desirable).
Tech Stack: SQL, Python, R, Tableau, AWS Athena + more!
Benefits Enjoy fantastic perks like private healthcare & dental insurance, a generous work‑from‑abroad policy, 2‑for‑1 share purchase plans, an EV Scheme, extra festive time off, and excellent family‑friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. We operate a hybrid model to work and ask that Trainliners work from the office a minimum of 40 % of their time over a 12‑week period. We also have a 28‑day Work from Abroad policy.
Values
Think Big – We're building the future of rail.
Own It – We focus on every customer, partner and journey.
Travel Together – We're one team.
Do Good – We make a positive impact.
Diversity & Inclusion We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity – gender, ethnicity, sexuality, disability, nationality and diversity of thought. That's why we're committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.
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  • London, England, United Kingdom

Languages

  • English
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