Introducing Data Science & Analytics at Trainline 👋  

Data Science & Analytics is central to how we build products, delight our customers and grow our business. Our Data Scientists & Analysts are embedded in cross-functional teams which exist across product and marketing.  Data Scientists & Analysts have a high degree of autonomy and are empowered to drive the success of their teams, using all data and techniques at their disposal.     

This is a perfect role for a Senior Data Scientist looking to move into management or a hands on Data Science Manager, you will start in the role in a more hands on capacity, learning the space and data, with headcount to hire 1 Data Analyst initially and this expected to grow over time. You’ll be focussed in Trainline Partner Solutions (TPS). This is our B2B arm and comprises white label products for carriers, and our Business Travel Booking Platform. As the most senior Data Science & Analytics person in TPS you’ll be responsible for working in cross-functional, senior team to lead the strategy for the space, influence data engineering/BI roadmaps to help develop the data maturity and develop the test and learn, goaling drive approach to product development.   

Our Data Science leaders need to wear two hats, as an expert in leader of the data science and analytics space, but also as a business lead in the company. As a leader in TPS, you will work with your Product, Marketing, Engineering and Commercial counterparts to set out the long-term strategy for the teams at Trainline and ensure we execute on this within the team whilst being responsible for communicating this vision and progress to it to senior leadership within the company.   

You will also have a close working relationship with Data Engineering, Machine Learning and BI teams as the data representative in the Pillar leads group to ensure all of data is working on the right problems to move Trainline forwards.  

Management experience is desired, but, for the right candidate, a long history of success as an individual contributor and a desire to progress your career into management is also acceptable. Experience working in a data driven tech organization is also desired, while a history of thinking strategically in a data driven way is required.  

As a Data Science Manager at Trainline, you will... 🚝 

Be responsible for influencing product, marketing and business outcomes, have the autonomy to make things happen and must obsess about having business impact. More specifically you will:  

• Lead a team of ~1 Data Scientists / Analysts  
• Drive a high standard of work and hold a high bar for impact within your org  
• Mature how we achieve growth in a data driven way across your team  
• Lead, with your cross functional counterparts, the strategy and delivery of the TPS 
• Think big, clearly setting out a strategy and ensuring data driven execution  

Our tech stack 🔑  

• SQL, Python, R, Tableau, Power BI, AWS Athena + more! 

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

• Have experience in leading data driven decision making for a tech product, ideally with some relevant experience in the B2B space   
• Have experience managing a data driven team and holding a high bar for analysis for 1+ years  
• Have experience in driving growth in an online product for 6+ years  
• Have experience setting the strategic direction and thinking big  
• Hold the ability to distil and communicate results of complex analysis clearly and effectively to all levels including senior management   
• Have experience of marketing evaluation and measurement of success. For example, running holdout/incrementality testing to evaluate campaign effectiveness or deploying new bidding models and understanding their impact
• Hold the ability to navigate data sets of varying complexity/ambiguity and conduct analysis to derive clear insights and actionable results   
• Possess strong PowerPoint and presentation/communication skills   
• Possess strong data visualisation skills using tools like Tableau, Spotfire, Power BI etc.   
• Have knowledge of statistical techniques like econometric modelling   
• Hold a university degree in subject with statistical elements, i.e. maths / economics