Data Scientist, Trainline
Monetisation
£50-70k
Hybrid, 40% in office
2+ days a week in office
Europe's leading rail ticketing platform
Job no longer available
Europe's leading rail ticketing platform
1001+ employees
Job no longer available
£50-70k
Hybrid, 40% in office
2+ days a week in office
1001+ employees
Company mission
Trainline is proud to be Europe's leading rail and coach platform - a tech company with a mission to make train travel as smooth as possible to allow travellers to make greener travel choices.
Role
Who you are
- 2+ years commercial experience using data science and analytics to drive business decisions
- Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management
- Experience of product engagement evaluation and measurement of success. For example, running A/B tests to evaluate product effectiveness or using front-end data to quantify the effectiveness of new features and how it changes user engagement
- Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results
- Strong PowerPoint and presentation/communication skills
- Strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc
- Expertise in predictive modelling, including both parametric (e.g. logit/probit) and non-parametric (e.g. random forest, neural net) techniques as well as wider ML techniques like clustering / random forest (desirable)
- Tech Stack: SQL, Python, R, Tableau, AWS Athena + More!
What the job involves
- Data Science & Analytics (DSA) is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded alongside Data Analysts in cross-functional teams which exist across product and marketing
- Data Scientists have a high degree of autonomy and are empowered to drive the success of their teams, using all data and techniques at their disposal
- As a Data Scientist, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team
- You will be able to determine the underlying dynamics of our complex ecosystem and use this to deliver insights and strategic direction, but your main focus will be a complete obsession with driving impact within the product team, drawing on whatever analytical and statistical techniques that will unlock the most benefits
- Data Science and Analytics at Trainline exists within the wider data organisation as part of the tech org, and is complemented by data engineering teams, data platform teams, and ML teams for when deep ML and AI techniques are required
- Our autonomous model creates a huge opportunity for personal influence and impact – as the data scientist on the team you will be actively driving innovation on the team by contributing to strategy, execution and continuous learning
- As a Data Scientist on the Monetisation team, you will lead analytical efforts to optimise ad performance and drive revenue growth
- You will develop statistical models, conduct deep analyses, and generate insights to enhance ad targeting, partnerships, and ancillary strategies
- Collaborating with engineers, product managers, and commercial teams, you will translate complex data into actionable recommendations that improve ad effectiveness
- As a Data Scientist, you will be responsible for influencing product and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will:
- Develop deep understanding of our product experiences and opportunities for growth
- Actively contribute to roadmap and goals for the product team
- Drive regular cross functional team reviews to measure progress toward goals
- Discover and articulate new product opportunities helping shape the team's direction
- Support product experiments, launches, growth through data-driven decision making while keeping the team accountable and impactful
- Define focus through metrics to enable a broad spectrum of learning from experimentation/release cycles
Salary benchmarks
Our take
Trainline make it super easy to book transport tickets. Its app is intuitive and well designed and its even pioneering paperless travel, allowing users to store their tickets in the app.
Its hyper focused on customer experience and has a product culture of fast iteration to deliver great outcomes for customers.
Its customers make 170,000 journeys a day and it sell 200 tickets a minute.
Its continuing to innovate to stay ahead, using machine learning to predict price movements and integrating with Siri and Google Assistant so people can buy tickets just by speaking to their phone.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Employee endorsements
Challenging work
"The complex nature of the market as we work with different suppliers is an amazing opportunity to create fluid solutions. A very well segmented..."
Company benefits
- Flexible working (40% min office attendance)
- Cycle to work scheme
- Discounted gym memberships through Wellhub
- Private Health and Dental Insurance
- Enhanced Pension (matched contributions)
- Income Protection
- Share Incentive Plan (buy one get one free)
- Learning budget
- Primary & Secondary Caregiver Leave
- Shared Parental Leave
- Enhanced sick pay
- Free Perkbox subscription
- Electric Vehicle Salary Sacrifice Scheme
- YellowNest - Subsidised Childcare Fees
- Work from Abroad
Company values
- Own It - We care about every customer, partner and journey
- Do Good - We make a positive impact
- Travel Together - We're one team
- Think Big - We are building the future of rail
Company HQ
Farringdon, London, UK
Articles
Leadership
Jody Ford
(CEO)Joined Trainline in 2020 as COO before becoming the CEO in 2021. Previously the Group CEO at Moonpig and Photobox and also spent over 10 years at eBay in various VP roles.
Lisa Hillier
(CPO)Previously the CPO at Gousto, The Restaurant Group, and Just Eat. They also spent over 6 years at Betfair as the Head of HR and Chief Human Resource Officer.
Mike Hyde
(Chief Data Officer)Previously a Director of Data Science at Facebook and as a Director of Business Insights at Skype and Microsoft.
Sakshi Anand
(CGO)Joined Trainline in 2023 as the VP of Growth and President of UK before becoming the CGO in 2025. They are also the Founder of NeuStar Consulting.
People progressing
Gary joined in 2022 from Comparethemarket as Director of Engineering and was recently promoted to VP Engineering, reporting directly to CTO.
Joe joined in 2022 from Meta as Director of Data Science and was recently promoted to VP Data, reporting directly to CTO.
Ali joined in 2023 from Meta and was recently promoted to VP Product, reporting directly to CPO.
Diversity, Equity & Inclusion at Trainline
- 💚 Diversity drives us forward We know that having a diverse team is crucial to Trainline’s ongoing success. A team that is diverse in all forms – gender, ethnicity, sexuality, disability, nationality and diversity of thought are key to Trainline being an inclusive environment where every Trainliner can be their true self. We're committed to creating workplaces where everyone belongs, is celebrated and their differences are valued, creating an awesome employee and customer experience. 💚 Meet our Networks Our diversity networks are inclusive communities developed and led by Trainliners, with sponsorship and support from senior leaders. They're all about empowering and supporting underrepresented groups, by providing a safe space to talk, a place to come up with new ideas and a channel for voices to be heard. 🚀 Women in Leadership 💜 Gender Equality Network 🏳️🌈 Rainbow Train (LGBTQIA+) 🌻 Sunflower (accessibility) 🌍 Ethnic Diversity Network 🐣 Parent & Carers
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