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 driversDesigning and analysing experiments, quasi experiments and observational studiesDeveloping frameworks to distinguish correlation from causation in customer behaviourUsing techniques such as propensity score matching, double machine learning and counterfactual modellingMeasuring the incremental impact of actions such as product usage or subscription adoptionWorking with large scale customer and product datasets to identify value driversCollaborating with stakeholders to translate complex analysis into clear business recommendationsSupporting the productionisation of analytical solutionsYour Skills and ExperienceStrong statistical foundation with the ability to apply rigorous analytical methodsExperience working with customer, product or subscription dataKnowledge of causal inference techniques such as propensity scoring, incrementality testing and counterfactual analysisExperience designing experiments and interpreting A B testing resultsAbility to translate complex technical outputs into clear business insightsStrong collaboration and stakeholder management skillsProactive approach with a focus on delivering commercial impactAcademic background in a quantitative discipline such as mathematics, statistics, economics or similarWhat They OfferCompetitive salary and comprehensive benefits packageClear progression opportunities within a growing data science functionExposure to cutting edge causal inference and experimentation methodologiesOpportunity to work on large scale, high impact data problemsCollaborative and forward thinking data environmentHow to Apply To find out more or apply for this Data Scientist, Causal Inference role, please get in touch.