Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist - B2B

Trainline plc
City of London
3 days ago
Create job alert

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 đźš„

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 Trainliners 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.

Introducing Data Science & Analytics at Trainlineđź‘‹

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 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 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 Senior Data Scientist at Trainline, you will... đźš„

As a Senior Data Scientist, you will be embedded within Trainline Partner Solutions (TPS), which is 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 analyses.

With a team of over a hundred technologists delivering daily data‑driven product releases and platform updates, TPS prioritises scalability, security and above all else innovation. As sustainability becomes a key focus in travel, TPS is dedicated to making rail a more accessible and efficient choice for businesses and travellers alike.

As a Senior 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:

  • 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.
We’d love to hear from you if you have... 🔍
  • 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. 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.
  • 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!

More information:

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 prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one!

Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do:

  • đź’­ 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

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.

Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist Customer Data

Senior Data Scientist

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.