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Data Scientist

Trainline
London, GBR
Full-time
Onsite
Discovered 3 days ago
Data scienceCustomer behavior analysisProduct analyticsExperimentationStatistical methodsA/B testing

Full Job Posting

About Trainline

Trainline connects travellers with rail and coach journeys through its app, website and partner channels.

The company describes its goal as making greener travel choices easier and improving the travel experience.

Data Science and Analytics

Data Scientists work with Data Analysts in cross-functional product and marketing teams, with autonomy to use relevant data and techniques.

This Data Scientist joins the New Business team, exploring growth beyond train tickets, including travel experiences such as hotels, car hire and attractions.

The role uses customer insights, experimentation and analytics to influence product strategy and create value for customers and Trainline.

Responsibilities

  • Own data science work from question framing through solution delivery and impact measurement.
  • Analyse customer behavior and product usage to identify friction, opportunities and potential benefits.
  • Find ways to simplify customer journeys and add value.
  • Design, run and analyse experiments using statistical methods and help define metrics.
  • Build and improve forecasting, personalisation or customer behavior prediction models.
  • Present practical findings and recommendations to influence product and monetisation strategy.
  • Contribute to team strategy, delivery, innovation and continuous learning.

Candidate requirements

  • Hands-on data science experience solving product or customer problems, ideally in an embedded or cross-functional team.
  • Confidence using Python and SQL with large customer datasets, building models and writing efficient, readable code.
  • Experience evaluating product engagement and measuring success, for example through A/B testing or front-end data analysis.
  • Ability to explain complex ideas simply and adapt communication to different audiences.
  • Interest in monetisation, advertising, recommendations or e-commerce is desirable.
  • Familiarity with dbt, Looker or Tableau is desirable; these tools are not essential.

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