Data Scientist - Supply

Trainline plc
City of London
2 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - New

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.


Great journeys start with Trainline đźš„


Now Europe’s number 1 downloaded rail app, with over 125 million monthly visits and £5.9 billion in annual ticket sales, we collaborate with 270+ rail and coach companies in over 40 countries. We want to create a world where travel is as simple, seamless, eco-friendly and affordable as it should be.


Today, we're a FTSE 250 company driven by our incredible team of over 1,000 Trainliners from 50+ nationalities, based across London, Paris, Barcelona, Milan, Edinburgh and Madrid. With our focus on growth in the UK and Europe, now is the perfect time to join us on this high-speed journey.


Introducing Data Science & Analytics at Trainlineđź‘‹

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.


As a Data Scientist at Trainline, you will... đźš„

As a Data Scientist, you will be responsible for influencing product and commercial outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will:



  • 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.



We'd love to hear from you if you have... 🔍

  • 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!



More information:


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 represent the things that matter most to us and what we live and breathe everyday, in everything we do:



  • đź’­ 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.


Interested in finding out more about what it's like to work at Trainline? Why not check us out on LinkedIn, Instagram and Glassdoor!


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.