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- Tasks: Lead a team of data scientists to influence product and marketing outcomes.
- Company: Join Trainline, Europe's number 1 rail app, dedicated to sustainable travel.
- Benefits: Enjoy perks like private healthcare, work-from-abroad policy, and generous learning budgets.
- Why this job: Be part of a mission-driven team shaping the future of travel with data.
- Qualifications: Experience in data science leadership and a passion for developing people is essential.
- Other info: Diversity and inclusion are at our core; we celebrate all forms of diversity.
The predicted salary is between 43200 - 72000 £ per year.
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 are 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 & Analysts are embedded in cross-functional teams which exist across product and marketing. Data Scientists & Analysts have a high degree of autonomy and are empowered to drive the success of their teams, using all data and techniques at their disposal.
We are looking for a Data Science Manager to lead a team of embedded data scientists who partner closely with product, engineering, and machine learning teams to drive decision-making and shape the product roadmap. 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 teams. You’ll ensure data scientists and analysts are embedded effectively within product squads, are influencing roadmap decisions, and are building the right frameworks to define success, measure progress, and evaluate performance—including for ML/AI-powered features.
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 is contributing to both short-term outcomes and long-term strategy. You’ll also work 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 product direction, and embedding data deeply into how teams work, this role is for you.
As a Data Science Manager at Trainline, you will:
- Be responsible for influencing product, marketing and business outcomes, have the autonomy to make things happen and must obsess about having business impact.
- Lead a team of Data Scientists / Analysts.
- Drive a high standard of work and hold a high bar for impact within your org.
- Mature how we achieve growth in a data driven way across your team.
- Lead, with your cross functional counterparts, the strategy and delivery of the Product.
- Think big, clearly setting out a strategy 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 every day, 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!
Product Data Science Manager FullTime London employer: Trainline plc
Contact Detail:
Trainline plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Data Science Manager FullTime London
✨Tip Number 1
Familiarise yourself with Trainline's mission and values. Understanding their commitment to sustainability and customer experience will help you align your discussions during interviews, showcasing how your leadership style and vision can contribute to their goals.
✨Tip Number 2
Network with current or former employees on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations for the Data Science Manager role, which you can leverage in your application process.
✨Tip Number 3
Prepare to discuss your experience in leading data-driven teams and influencing product strategy. Be ready to share specific examples of how you've successfully embedded data science within cross-functional teams to drive business outcomes, as this is a key aspect of the role.
✨Tip Number 4
Stay updated on the latest trends in data science and analytics, particularly in the travel industry. Being knowledgeable about emerging technologies and methodologies will demonstrate your passion for the field and your ability to think big, which aligns with Trainline's values.
We think you need these skills to ace Product Data Science Manager FullTime London
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities of a Product Data Science Manager at Trainline. Highlight your leadership experience and how you've influenced product direction in your application.
Tailor Your CV: Customise your CV to reflect the skills and experiences that align with the job description. Emphasise your experience in data science, team leadership, and cross-functional collaboration.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data-driven decision-making and your ability to lead teams. Mention specific examples of how you've driven impact in previous roles and how you align with Trainline's values.
Showcase Relevant Projects: Include details about relevant projects you've worked on, especially those involving SQL, Python, or machine learning. Demonstrating your technical expertise alongside your leadership skills will strengthen your application.
How to prepare for a job interview at Trainline plc
✨Understand the Company Values
Before your interview, make sure you know Trainline's core values: Think Big, Own It, Travel Together, and Do Good. Be prepared to discuss how your personal values align with theirs and provide examples of how you've embodied these principles in your previous roles.
✨Showcase Your Leadership Skills
As a Data Science Manager, you'll be leading a team. Prepare to share specific instances where you've successfully led teams, influenced product direction, and fostered a culture of collaboration and innovation. Highlight your ability to empower others and drive impact through your leadership.
✨Demonstrate Technical Knowledge
While this role is not hands-on, having a solid understanding of the tech stack (SQL, Python, R, Tableau, Power BI, AWS Athena) is crucial. Be ready to discuss how you've used these tools in past projects and how they can be leveraged to achieve data-driven outcomes.
✨Prepare for Strategic Discussions
Expect questions about your approach to setting strategy and prioritising initiatives. Think about how you would align data science efforts with business goals and how you would measure success. Be ready to articulate your vision for integrating data deeply into product development.
