Senior Data Scientist
Trainline is hiring a Senior Data Scientist in London, United Kingdom. Level rates it ; you can apply on Trainline.
Level's read on this job
- Level rates this data scientist role Uses AI ●●○○: an ordinary role that requires AI tools.
- The posting mentions Python, SQL and Spark among its tools and skills.
- Level classes it as a senior role.
- Trainline has 34 other open roles on Level.
AI in this role
Solve complex customer journey problems across search, supply, and commerce using advanced data science and analytics techniques.
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, identifying opportunities for our customers and our business, 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 take ownership of investigations and solutions that span search, supply and commerce, working with detailed datasets and linking data sources to support projects across pillars. You will collaborate closely with all teams responsible for core customer experiences (from Data, Product, Engineering, Commercial), own problems and their solution end to end, challenge the status quo and help shape how the wider team approaches recurring problems and opportunities.
This is a role for someone who enjoys getting into the detail, thrives on variety, and wants to have a tangible impact on how customers experience Trainline.
In this role as the Senior Data Scientist, you will... 🚄
Work across search, supply and commerce, bringing together diverse datasets to tackle complex problems and deliver projects that span multiple pillars.
Identify opportunities for our customers and our business, using data to shape solutions and building tools and approaches that make the wider team more effective.
Develop a deep understanding of the customer experience, getting to the root causes of recurring problems (such as conversion declines, checkout errors or searches returning no results) and working cross-functionally to turn insights into lasting improvements.
Drive continuous improvement by identifying recurring patterns and turning what you learn into reusable tools, frameworks and solutions that reduce investigation time and help the wider team move faster.
Surface product and commercial opportunities through your analysis, connecting insights to business context and bringing opportunities to the right teams timely to drive action.
Mentor and guide colleagues across Data and partner teams, helping others build their analytical capability and confidence.
Partner closely with data scientists, data analysts and cross-functional teams across search, supply, commerce to solve problems that cut across organisational boundaries.
Navigate competing priorities across multiple areas of the business, bringing structure, clarity and sound judgement to fast-moving and ambiguous situations.
We'd love to hear from you if you have... 🔎
Substantial experience as a Data Scientist at a senior level, with the confidence, judgement and autonomy that come from having operated at this level before.
Track record of owning a business or functional area end to end, taking responsibility for identifying opportunities, shaping the analytical approach and driving outcomes - not just delivering analysis.
Experience working across multiple business areas or domains, navigating competing priorities and adapting your approach to different problems, stakeholders and contexts.
A strong track record of delivering measurable business impact through product analytics, translating data and insights into decisions and actions that improve customer and business outcomes.
Strong SQL and Python skills, used confidently to explore, analyse and draw actionable insights from complex datasets, alongside good engineering practices such as version control and effective use of AI tools to work more efficiently.
Confidence working with large, unfamiliar and diverse datasets, bringing together multiple data sources to build a robust and comprehensive understanding of a problem.
Experience mentoring and supporting other Data Scientists, helping colleagues develop their technical skills, analytical thinking and approach to problem-solving.
Ideally, experience in a technology-driven, digital or marketplace business, although this is not essential.
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 represent the things that matter most to us and what we live and breathe everyday, in everything we do:
💭 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!
How we rate this
Senior Data Scientist at Trainline rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data scientist job
- $167k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where cross functional collaboration was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Science, Machine learning, Data Analysis, Cross Functional Collaboration, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.
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