Trainline
Senior Data Scientist

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About Us
At Trainline, our purpose is to empower greener travel choices, connecting people and places. 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 🚄
We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels.
Our job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet.
We’re a team of more than 1,000 Trainliners from over 50 nationalities, working across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel.
Introducing the Trainline Data Science & Analytics Team 👋
Data Science & Analytics (DSA) sits at the heart of how Trainline understands and improves the end-to-end customer journey, from finding a journey through to booking. Our data scientists and analysts work closely together to support supply, search and commerce, spotting patterns that affect the customer experience, resolving incidents that get in the way of a smooth journey, and building solutions that make life easier for the wider team.
This role offers the chance to work across multiple areas of the business rather than being confined to a single specialism, giving you real breadth and the opportunity to see how different parts of the customer journey connect.
As a Senior Data Scientist, you will...
🚄
- Investigate incidents such as checkout errors, searches returning no results, and conversion declines, working through the detail to understand root causes.
- Identify recurring patterns across incidents and use these insights to build reusable solutions that reduce investigation time for the wider team.
- Work across search, supply and commerce, linking data sources and datasets to support projects that span more than one pillar.
- Spot product and commercial opportunities that arise from your analysis, and help bring these to the attention of the right teams.
- Mentor and guide junior colleagues, sharing your approach to problem-solving and helping build capability across the team.
- Partner closely with data scientists, data analysts and cross-functional teams responsible for search, supply, commerce and core customer experiences.
- Balance competing priorities across multiple areas of the business, bringing structure and clarity to fast-moving or ambiguous situations.
- Contribute to a culture of continuous improvement, helping the team learn from incidents and turn them into lasting improvements.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
We'd love to hear from you if you have... 🔎
- Substantial experience working as a data scientist at a senior level, with the confidence and judgement that comes from having operated in that capacity rather than stepping into it for the first time.
- Strong working knowledge of SQL and Python, used confidently to explore, analyse and draw insight from complex datasets.
- Experience working across more than one business area or pillar, comfortable adapting your approach depending on the context.
- A track record of owning a business or functional area, taking responsibility for outcomes rather than just delivering analysis.
- Confidence mentoring or guiding more junior colleagues, helping others grow their skills and approach to problem-solving.
- Comfort working at a detailed dataset level, connecting different data sources to build a fuller picture rather than relying on high-level summaries.
- Ideally, experience in a marketplace or similar technology-driven business, though this isn't essential.
- It would also be helpful if you have experience with product analytics, or have used AI tools alongside SQL and Python to work more efficiently.


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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!
- 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.
Our 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
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!
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Jessica, London
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