Head of Data Science, LTV

4 weeks ago

London, United Kingdom Trainline Full time

Job Description

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 crossfunctional 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 Head of Data Science you will manage a team of highly functioning team of Data Scientists and Data Science Managers in the Growth pillar of Trainline You will also be the joint lead of this cross functional pillar which comprises of ~150 people across Product Engineering Marketing and broader data functions

The pillar itself is focused on driving the growth engine of trainline with a large Marketing footprint across all major marketing channels operating in a heavily data driven way to acquire users a portion of the team focused on driving up retention and LTV through marketing CRM and onsite activities and portion of the team focused on driving up revenue per user through partnerships and advertising Getting this growth loop working well is the key to Trainlines success and this therefore represents an exciting opportunity in the team

As a Data Science leader you are responsible for ensuring that your team is contributing to the short and long term decision making in all parts of the Growth pillar as they embed in teams this could range from building out attribution models LTV predictions incrementality testing etc as well as guiding each team to set ambitious north star strategies and working towards these in a data driven way

As a leader of the Growth pillar you will work with your Product Marketing Engineering and Commercial counterparts to set out the long term strategy for growth 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 in 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 required as is a marketing experience with a history of driving growth using multiple levers and a strong history of being able to drive decisions with data and history of management

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 Head of Data Science 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 ~12 Embedded DS and ManagersDrive a high standard of work and hold a high bar for impact within your orgMature how we achieve growth in a data driven way across your teamLead with your cross functional counterparts the strategy and delivery of the Growth pillar of Trainline of ~130 peopleThink big clearly setting out a strategy and ensuring data driven executionQualifications

Wed love to hear from you if you have

Proven experience in leading data driven teams in the growth and marketing spaceExperience managing a data driven team and holding a high bar for analysis for 3 yearsExperience in driving growth in an online product for 6 yearsExperience setting the strategic direction and thinking bigAbility to distil and communicate results of complex analysis clearly and effectively to all levels including senior management Experience of marketing evaluation and measurement of success For example running holdoutincrementality testing to evaluate campaign effectiveness or deploying new bidding models and understanding their impact Ability to navigate data sets of varying complexityambiguity and conduct analysis to derive clear insights and actionable results Strong PowerPoint and presentationcommunication skills Strong data visualisation skills using tools like Tableau Spotfire Power BI etcKnowledge of statistical techniques like econometric modelling desiredTech Stack: SQL Python R Tableau Power BI AWS Athena More

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