Mid-level Data Scientists with Python and causal inference expertise, working in London, will find this role ideal for collaborative marketing impact analysis.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Trainline via Ashby
About us
At Trainline, our purpose is to empower greener travel choices, connecting people and places. https://www.thetrainline.com/terms/sustainability-faqs 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 Customer Growth Team 👋
The Customer Growth team helps Trainline understand and improve how our marketing builds awareness, consideration and long-term customer growth. As a Data Scientist specialising in Marketing Measurement, you will shape how we evaluate marketing performance, turning complex and imperfect data into clear recommendations that support high-value commercial decisions.
You will take ownership of a varied portfolio of focused, fast-moving measurement projects, using Python, causal inference and geo-experimentation to understand marketing impact. Working closely with marketing, analytics and other cross-functional partners, you will combine multiple signals where no single measurement approach provides the full answer, helping stakeholders make informed decisions with confidence.
In this role as the Data Scientist, you will... 🚄
- Design and deliver robust approaches for measuring the effectiveness and incremental impact of marketing activity.
- Use Python, causal inference and geo-experimentation techniques to analyse performance and generate commercially relevant insights.
- Combine evidence from multiple data sources and measurement methods to provide a clear and balanced view where no single solution is definitive.
- Translate complex analytical findings into practical recommendations that enable marketing stakeholders to make informed investment decisions.
- Partner closely with marketing, analytics and other cross-functional teams to define measurement questions, shape project scope and align on successful outcomes.
- Manage several focused analytical projects at the same time, balancing pace, quality and business value across competing priorities.
- Apply pragmatic judgement when working with incomplete or imperfect data, clearly communicating assumptions, limitations and levels of confidence.
- Contribute to the continued development of Trainline's marketing measurement capabilities, identifying opportunities to improve methods, tools and ways of working.
We'd love to hear from you if you have... 🔎
- Strong practical experience using Python to analyse data, build measurement approaches and communicate meaningful findings.
- Experience applying causal inference, geo-experimentation or related experimental and quasi-experimental methods to real-world business questions.
- A pragmatic and commercially focused approach, with the ability to balance analytical rigour with the need to make timely decisions.
- Strong communication skills, including the ability to explain technical concepts clearly to stakeholders with different levels of analytical expertise.
- Confidence managing several projects or workstreams simultaneously while maintaining focus on the most valuable outcomes.
- Experience working collaboratively with marketing, analytics or other cross-functional teams to turn business questions into analytical solutions.
- Ideally, experience in marketing measurement, marketing effectiveness or marketing mix modelling, although we also welcome applicants with relevant transferable experience.
- Curiosity, sound judgement and a willingness to work with ambiguity, test different approaches and learn from imperfect evidence.
More information:
Enjoy fantastic perks https://www.trainlinegroup.com/media/hfybhgrt/trainline_benefits_explorer_8.html 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 https://www.linkedin.com/company/trainline/, Instagram https://www.instagram.com/lifeattrainline/ and Glassdoor https://www.glassdoor.co.uk/Overview/Working-at-Trainline-EI_IE249203.11,20.htm!
Source: Trainline careers (Ashby)