Senior Data Scientist - Propensity modelling and Causal inference
London hybrid Up to £100,000
This is an opportunity to join a highly established, product led organisation where data plays a central role in shaping customer strategy. The focus of the role is on moving beyond prediction into causal understanding, helping the business better quantify the real impact of customer behaviour at scale.
The Company
They are a global consumer platform with a large and highly engaged user base, operating in a digital, subscription driven environment. The business combines strong brand presence with a sophisticated data ecosystem, offering access to high quality behavioural and transactional data. Data science is well embedded, with close alignment to product and commercial teams. There is a strong emphasis on using data to inform decisions that directly impact customer experience and long term value.
The Role
- Work within the Customer Lifetime Value team, focusing on causal inference and incrementality
- Apply techniques such as propensity modelling, propensity score matching and Double Machine Learning
- Use counterfactual approaches to understand the true impact of customer actions
- Measure incrementality across products, features and behaviours
- Translate technical work into clear insights for non technical stakeholders
- Partner with product and commercial teams to shape decisions
- Support the productionisation of models and analytical solutions
Your Skills & Experience
- Strong statistical foundation with experience in causal inference or experimentation
- Commercial experience working with customer or product data
- Familiarity with propensity modelling, incrementality or similar methodologies
- Comfortable explaining technical concepts to a wider business audience
- Experience delivering work end to end, including deployment
- Background in sectors such as subscription, telecoms, fintech or technology is beneficial
- A Masters degree in a quantitative discipline is preferred
What They Offer
- Salary up to £100,000
- Hybrid working with a London base
- A role with clear business impact and visibility
- Opportunity to deepen expertise in causal inference and advanced methods
- Supportive, collaborative team environment with regular in person time
How to Apply
If you are interested in applying data science to understand real commercial impact, please apply with your CV.