Data Scientist

Data Scientist, Causal Inference London - 1x every 6 weeks The Company They are a global, product led organisation operating at scale with a highly sophisticated data environment. The business places data at the centre of decision making and continues to invest heavily in advanced analytics and AI capabilities. Their datasets are rich and complex, enabling deep analysis of customer behaviour across the full lifecycle. This role sits within a dedicated CLV team focused on maximising long term customer value. The Role You will focus on applying causal inference techniques to quantify the true impact of customer behaviours, product features and commercial initiatives. Your work will directly influence how the business invests in growth, retention and engagement. Responsibilities include: • Applying causal inference methodologies to measure incrementality and customer lifetime value drivers • Designing and analysing experiments, quasi experiments and observational studies • Developing frameworks to distinguish correlation from causation in customer behaviour • Using techniques such as propensity score matching, double machine learning and counterfactual modelling • Measuring the incremental impact of actions such as product usage or subscription adoption • Working with large scale customer and product datasets to identify value drivers • Collaborating with stakeholders to translate complex analysis into clear business recommendations • Supporting the productionisation of analytical solutions Your Skills and Experience • Strong statistical foundation with the ability to apply rigorous analytical methods • Experience working with customer, product or subscription data • Knowledge of causal inference techniques such as propensity scoring, incrementality testing and counterfactual analysis • Experience designing experiments and interpreting A B testing results • Ability to translate complex technical outputs into clear business insights • Strong collaboration and stakeholder management skills • Proactive approach with a focus on delivering commercial impact • Academic background in a quantitative discipline such as mathematics, statistics, economics or similar What They Offer • Competitive salary and comprehensive benefits package • Clear progression opportunities within a growing data science function • Exposure to cutting edge causal inference and experimentation methodologies • Opportunity to work on large scale, high impact data problems • Collaborative and forward thinking data environment How to Apply To find out more or apply for this Data Scientist, Causal Inference role, please get in touch.