About this role
Based in London, the Senior Data Scientist - B2B role at Trainline sits within the Trainline Partner Solutions team and suits an experienced analytical professional looking to drive product strategy through data. This position offers a chance to shape B2B rail travel solutions across the UK and Europe using advanced analytics and experimentation.
Role Overview
Trainline is hiring a Senior Data Scientist to join its B2B division, Trainline Partner Solutions, located in London. The position involves embedding within a cross-functional product team to drive insights, measure value through experimentation, and define success metrics. The role operates under a hybrid work model requiring a minimum of 60% office attendance over a 12-week period.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
Trainline is Europe's leading independent rail platform, empowering greener travel choices by connecting people and places across mobile apps, websites, and B2B partner channels. The company employs over 1,000 people from more than 50 nationalities across multiple European cities, including London, Paris, and Madrid. Trainline operates on core values that include thinking big, owning it, travelling together, and doing good.
How to Apply
Candidates should apply directly on the official Trainline company careers page.
Skills and tech stack
Questions candidates ask
Where is this job located?
This role is based in London, operating under a hybrid model that requires working from the office a minimum of 60% of the time over a 12-week period.
How many years of experience are required?
The position requires 5+ years of commercial experience using data science and analytics to drive business decisions.
What team will I be working in?
You will be embedded within Trainline Partner Solutions, which is the B2B arm of Trainline providing rail travel solutions for businesses, travel retailers, and rail carriers.
What tools and technologies are part of the tech stack?
The tech stack includes SQL, Python, R, Tableau, and AWS Athena, along with visualisation tools like Spotfire and Power BI.
What benefits are provided?
Benefits include private healthcare and dental insurance, a 28-day work from abroad policy, 2-for-1 share purchase plans, an EV scheme, extra festive time off, family-friendly benefits, personal learning budgets, and transparent pay bands.