AI & Emerging technologies

Senior Data Scientist

Trainline

London · Greater London · United Kingdom

Overview

As a Senior Data Scientist at Trainline, you will influence product strategy and business outcomes using advanced analytics. You will be embedded with Trainline Partner Solutions to drive data-driven decisions for B2B rail travel solutions across Europe. Your work will focus on measurable impact through experimentation, metrics, and advanced modeling in a fast-moving, cross-functional environment. You’ll shape the direction of the product team with insights drawn from a complex data ecosystem, contributing to scalable, innovative rail travel products.

Pay / Benefits
  • private healthcare & dental
  • work from abroad policy
  • 2-for-1 share purchase plans
  • EV Scheme to reduce carbon emissions
  • extra festive time off
  • family-friendly benefits
Responsibilities
  • Develop deep understanding of product experiences and growth opportunities.
  • Contribute to roadmap and goals for the product team.
  • Lead cross-functional reviews to track progress toward goals.
  • Identify and articulate new product opportunities to steer team direction.
  • Support experiments and launches; enable growth via data-driven decisions.
  • Define focus through metrics to enable learning from experiments and releases.
Key requirements
  • 5+ years of commercial data science/analytics experience driving business decisions
  • Ability to distill complex analyses into clear insights for all levels, including senior management
  • Experience with product engagement evaluation and measurement of success (e.g., A/B testing, front-end data analysis)
  • Ability to navigate complex data sets to derive actionable insights
  • Strong PowerPoint and presentation/communication skills
  • Strong data visualization skills (Tableau, Spotfire, Power BI)
  • Expertise in predictive modelling (parametric and non-parametric) and ML techniques
  • Tech Stack: SQL, Python, R, Tableau, AWS Athena
  • clear and effective communication to diverse stakeholders
  • problem-solving oriented
  • collaboration across cross-functional teams
  • predictive modelling (logit/probit, random forest, neural nets)
  • ML techniques including clustering
  • data visualization (Tableau, Power BI, Spotfire)

Reference: WJ-747_31193298 · Posted 01 Nov 2026

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