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Data Scientist - Supply
Trainline
- London, England, United Kingdom
- London, England, United Kingdom
À propos
We are champions of rail, inspired to build a greener, more sustainable future of travel. Trainline enables millions of travellers to find and book the best value tickets across carriers, fares, and journey options through our highly rated mobile app, website, and B2B partner channels.
About Data Science & Analytics
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 across commercial and product. 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.
Role Overview
As a Data Scientist, you will be involved in driving insights and strategy for the commercial and supply teams, helping Trainline understand and improve its coverage and offerings. You will create focus through the right metrics, guide decisions with robust analysis, and shape strategy through evidence. Your role is to uncover the underlying dynamics of a complex rail ecosystem and turn them into clear direction and measurable impact.
Key Responsibilities
Develop deep understanding of the network and supply ecosystem and how these shape Trainline’s growth.
Contribute to roadmap and priorities for the commercial + supply domains, ensuring alignment with Trainline’s growth strategy.
Drive cross‑functional reviews with commercial, carrier, and product stakeholders to track performance against goals.
Identify and articulate new opportunities, helping shape where Trainline should invest.
Support product interventions and commercial initiatives through data‑driven experimentation and analysis, enabling accountability and impact.
Define focus through metrics, market intelligence, and product understanding.
Qualifications & Experience
2+ years commercial experience using data science and analytics to drive business decisions.
Experience working in complex supply/demand environments (transport, marketplaces, travel, e‑commerce, etc.).
Skilled in analysing availability, capacity, and pricing data to uncover growth opportunities or diagnose performance issues.
Strong grasp of experimental design and causal inference in less‑controlled environments where attribution is difficult.
Comfort balancing strategic framing (where to invest, how to win) with operational analytics.
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 and random forest.
Tech Stack: SQL, Python, R, Tableau, AWS Athena + more.
Benefits Enjoy fantastic perks such as private healthcare & dental insurance, a generous work‑from‑abroad policy, 2‑for‑1 share purchase plans, an EV scheme, extra festive time off, and excellent family‑friendly benefits.
We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one!
Core Values
Think Big – We’re building the future of rail.
Own It – We focus on every customer, partner and journey.
Travel Together – We’re one team.
Do Good – We make a positive impact.
Diversity & Inclusion We believe that a diverse team is stronger and helps us succeed. We are committed to creating inclusive workplaces where everyone belongs and differences are valued and celebrated, regardless of gender, ethnicity, sexuality, disability, nationality or diversity of thought.
Job Details
Seniority level: Entry level
Employment type: Full‑time
Job function: Engineering and Information Technology
Industries: Technology, Information and Internet
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Compétences linguistiques
- English
Avis aux utilisateurs
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