Data Scientist - Supply

Trainline International Limited; City of London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading technology company in travel is looking for a Data Scientist to help drive insights and strategy for their commercial and supply teams. Your role will involve analyzing complex data to uncover growth opportunities and directly influence business decisions. This full-time position is ideal for professionals with a strong background in data science and a passion for improving travel experiences. Join an innovative team and enjoy competitive perks including healthcare and personal learning budgets.

Benefits

Private healthcare

Generous work from abroad policy

Family-friendly benefits

Qualifications

• 2+ years of commercial experience in data science.
• Experience in supply/demand environments like travel or e-commerce.
• Strong grasp of experimental design and causal inference.

Responsibilities

• Develop understanding of the network and supply ecosystem.
• Contribute to roadmap for commercial and supply domains.
• Drive performance reviews with stakeholders.

Skills

Data Analysis

Predictive Modelling

Data Visualisation

Presentation Skills

Experimental Design

Tools

SQL

Python

R

Tableau

AWS Athena

Job description

About Us

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.

Introducing Data Science & Analytics at Trainline

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 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.
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, using the analytical and statistical techniques that best unlock value.
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.

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.

What We’re Looking For

• 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 / random forest (desirable).
• Tech Stack: SQL, Python, R, Tableau, AWS Athena + More!

Benefits

Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2‑for‑1 share purchase plans, an EV Scheme to further reduce carbon emissions, 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!

Our 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.

We know that having a diverse team makes us better and helps us succeed. And we mean all forms of diversity – gender, ethnicity, sexuality, disability, nationality and diversity of thought. That’s why we’re committed to creating inclusive places to work, where everyone belongs and differences are valued and celebrated.

Seniority level

Entry level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Technology, Information and Internet