As a Data Scientist, you will be involved in driving insights and strategy for the product team, creating and measuring value through experimentation, creating focus through metrics and goals, and building deep learning about what is most impactful for each team. You will be able to determine the underlying dynamics of our complex ecosystem and use this to deliver insights and strategic direction, but your main focus will be a complete obsession with driving impact within the product team, drawing on whatever analytical and statistical techniques that will unlock the most benefits.
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... 🚄
As a Data Scientist in our New Business team, you'll help shape how Trainline grows beyond train tickets. From insurance and protection to hotels, car hire, attractions and other travel experiences, we're exploring new ways to add value throughout the customer journey, including making it easier for customers to plan more of their trip in one place. You'll use customer insights, experimentation and analytical techniques to uncover new opportunities, influence product strategy and create meaningful value for both our customers and Trainline.
As a Data Scientist, you will be responsible for influencing product and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will:
Own data science work from start to finish within an embedded product team, from shaping the right question with your colleagues to delivering a solution and measuring its impact
Explore customer behaviour and product usage to uncover areas of friction, spot new opportunities and estimate the benefit of acting on them
Contribute to simple, seamless customer journeys by identifying where we can remove barriers and add value
Design, run and analyse experiments using sound statistical methods, and help define metrics
Build, test and improve models such as forecasting, personalisation or customer behaviour prediction that enhance the customer experience and support business growth
Turn your findings into clear, practical recommendations that help shape product and monetisation strategy, tailoring your message for both technical and non-technical audiences
We'd love to hear from you if you have... 🔍
Hands-on experience applying data science to real product or customer problems, ideally within an embedded or cross-functional team
Confidence using Python and SQL to explore large datasets of customer activity, build models and write efficient, readable code
Experience of product engagement evaluation and measurement of success. For example, running A/B tests to evaluate product effectiveness or using front-end data to quantify the effectiveness of new features and how it changes user engagement.
The ability to explain complex ideas simply and adapt how you communicate for different audiences
Ideally, an interest in monetisation, advertising, recommendations or e-commerce, and familiarity with tools such as dbt, Looker or Tableau, although none of these are essential
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!
We're operating a hybrid model and ask that Trainliners work from the office a minimum of 60% of their time over a 12-week period. We also have a 28-day Work from Abroad policy.
Our values represent the things that matter most to us and what we live and breathe everyday, in everything we do:
💭 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 https://www.linkedin.com/company/trainline/, Instagram https://www.instagram.com/lifeattrainline/ and Glassdoor https://www.glassdoor.co.uk/Overview/Working-at-Trainline-EI_IE249203.11,20.htm!
