Introducing Data Science at Trainline👋  

Data Science is central to how we build products, delight our customers and grow our business. Our Data Scientists are embedded 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 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 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...🔍  

• 2+ years proven 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 AB testing 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  
• 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, Power BI, AWS Athena + More!