At a Glance
- Tasks: Build causal solutions to quantify customer behaviour value and enhance predictive models.
- Company: Join a major global consumer tech business with a focus on innovation.
- Benefits: Competitive salary up to £100,000, bonus, and largely remote work.
- Other info: Dynamic team environment with opportunities for professional growth.
- Why this job: Make a real impact by moving from prediction to understanding causality in data.
- Qualifications: Strong statistical background and experience with causal inference methods required.
The predicted salary is between 100000 - 100000 £ per year.
A major global consumer technology business is hiring a Data Scientist into its Customer Lifetime Value team. The team already has predictive models in place. The next step is moving beyond prediction to understand causality: what is the true incremental value of a customer action, and what would have happened if that action had not occurred?
Responsibilities
- Build causal solutions to quantify the incremental value of customer behaviours
- Apply propensity scoring, propensity score matching, Double Machine Learning and counterfactual methods
- Move existing customer value capabilities from prediction towards causality and incrementality
- Build and productionise analytical solutions using an exceptionally rich behavioural dataset
- Translate complex statistical findings into clear product and commercial outcomes
Requirements
- Strong statistical foundations and genuine depth in causal inference methods
- Experience with propensity methods, Double Machine Learning, counterfactuals or related techniques
- Experience working with customer or product data, ideally in a subscription-based business
- Ability to build and productionise analytical solutions, rather than purely conduct research
- Strong communication skills and a quantitative STEM Master's degree preferred
Role Details
- Level: Data Scientist (Mid-to-Senior level)
- Salary: Up to £100,000 base + bonus
- Location: London
- Working model: Largely remote, visits to Central London office once every six weeks
Data Scientist - Propensity Modelling, CLV in London employer: Harnham
Join a leading UK-based media organisation at the forefront of digital transformation, where your role as Director of Streaming Product and Growth will be pivotal in shaping the future of their subscription services. With a strong emphasis on innovation and a collaborative work culture, you'll have access to significant growth opportunities, competitive salary packages, and a performance-based bonus structure, all while working in a dynamic environment that values data-driven decision making and customer-centric strategies.
