Data Scientist, Trainline

Monetisation

£50-70k

SQL
AWS
Python
Tableau
R
Power BI
Athena
Junior and Mid level
London

Hybrid, 40% in office

2+ days a week in office

Trainline

Europe's leading rail ticketing platform

Job no longer available

Trainline

Europe's leading rail ticketing platform

1001+ employees

B2CB2BTravelSustainabilityTransporteCommerce

Job no longer available

£50-70k

SQL
AWS
Python
Tableau
R
Power BI
Athena
Junior and Mid level
London

Hybrid, 40% in office

2+ days a week in office

1001+ employees

B2CB2BTravelSustainabilityTransporteCommerce

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

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Insights

Led by a woman

42% female employees

14% employee growth in 12 months

Company

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

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.

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Steph

Company Specialist at Welcome to the Jungle