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

Apply Now

Data Science Manager - Marketing FullTime London

Trainline plc
London
3 weeks 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

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 Trainline

Data Science & Analytics is central to how we build products, delight our customers, and grow our business. Our Data Scientists and Analysts are embedded in cross-functional teams across product and marketing. They have a high degree of autonomy and are empowered to drive success, using all data and techniques at their disposal.

We are looking for a Marketing Data Science Manager to strengthen Trainline’s measurement foundations and shape how marketing decisions are made. You’ll lead a team of embedded Data Scientists who partner closely with commercial, mar-tech, and engineering teams to drive decision-making and define the future of our marketing strategy.

This is a strategic leadership role focused on enabling impact through others—not a hands-on technical position. You’ll be responsible for setting direction, supporting prioritisation, and fostering a strong test-and-learn culture across your team.

You’ll ensure Data Scientists and Analysts are embedded effectively within marketing squads, influencing roadmap decisions, and building the right frameworks to define success, measure progress, and evaluate performance. This includes advancing our experimentation practices and evolving measurement approaches such as Marketing Mix Modelling (MMM) to guide marketing investments.

As a key member of the leadership group within your pillar, you’ll collaborate with peers in Product, Engineering, and Commercial to define the long-term vision and ensure Data Science contributes to both short-term outcomes and long-term growth. You’ll also partner closely with Data Engineering, BI, and ML teams to align on priorities and advocate for the tools, infrastructure, and data quality needed to support scalable decision-making.

If you’re passionate about developing people, influencing strategy, and embedding data deeply into how teams work, this role is for you.

As a Marketing Data Science Manager at Trainline, you will...
  • Lead and develop a team of Data Scientists and Analysts

  • Drive a high standard of work and hold a high bar for business impact

  • Advance how we achieve growth in a data-driven and experimentation-led way

  • Shape the strategy and delivery of marketing and product initiatives with cross-functional partners

  • Think big—clearly setting out a vision and ensuring data-driven execution

Our tech stack
  • SQL, Python, R, Tableau, Power BI, 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:

  • 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 plain text notes: LinkedIn, Instagram and Glassdoor.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science Manager

Data Science Manager

Data Science Manager - Marketing FullTime London

Data Science Manager, Digital Technologies

Data Science Manager London, England, United Kingdom

Data Science Manager – Experimentation: Innovation & Research London (England) Sony Interactive[...]

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.

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.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.