Senior Data Scientist
Trainline is hiring a Senior Data Scientist in London, United Kingdom. Level rates it ; you can apply on Trainline.
Level's read on this job
- On Level's scale, this data scientist role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting allows some remote work.
- Tools and skills the posting cites include data science, analytics and experimentation.
- Level classifies it as a senior role.
- Level lists 34 other open roles at Trainline.
AI in this role
Senior Data Scientist at Trainline driving product strategy, insights, and experimentation within cross-functional teams.
About us
At Trainline, our purpose is to empower greener travel choices, connecting people and places. 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 🚄
We’re Europe’s leading independent rail platform, helping millions of travellers find and book the best-value rail and coach journeys across our app, website and partner channels.
Our job is to make the green travel choice the best choice. By building a better train travel experience, we help more people choose rail - creating a positive impact for customers, our business and the planet.
We’re a team of more than 1,000 Trainliners from over 50 nationalities, working across London, Paris, Barcelona, Milan, Edinburgh and Madrid. Now is a brilliant time to join us and help shape the future of travel.
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 product and marketing. 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 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 Senior Data Scientist at Trainline, you will... 🚄
As a Senior Data Scientist, you will be embedded within Trainline Partner Solutions (TPS), which is the B2B arm of Trainline that provides seamless rail travel solutions for businesses, travel retailers, and rail carriers across the UK and Europe. TPS also works to develop new technologies / products and is at the forefront of the rail industry, presenting opportunities to launch new products, work to develop product market fit and go deep with techniques like geospatial and graph analyses.
With a team of over a hundred technologists delivering daily data-driven product releases and platform updates, TPS prioritises scalability, security and above all else innovation. As sustainability becomes a key focus in travel, TPS is dedicated to making rail a more accessible and efficient choice for businesses and travellers alike.
As a Senior 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:
Develop deep understanding of our product experiences and opportunities for growth.
Actively contribute to roadmap and goals for the product team.
Drive regular cross functional team reviews to measure progress toward goals.
Discover and articulate new product opportunities helping shape the team's direction.
Support product experiments, launches, growth through data-driven decision making while keeping the team accountable and impactful
Define focus through metrics to enable a broad spectrum of learning from experimentation/release cycles.
We'd love to hear from you if you have... 🔍
5+ years commercial experience using data science and analytics to drive business decisions.
Ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management.
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.
Ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results.
Experience using AI to responsibly accelerate your coding for analysis, as well as basic automation of day-to-day work processes.
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!
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, Instagram and Glassdoor!
How we rate this
Senior Data Scientist at Trainline rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $166k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Tell me about a project where experimentation was part of your work. What did you do?
- Tell me about a project where statistics was part of your work. What did you do?
- Describe a typical day in a role like this one: which parts run through AI directly?
Adapt your resume
- List these exact terms on your resume: Data Science, Analytics, Experimentation, and Statistics. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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