7 of 7 Propensity Modelling Jobs in England

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 … 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 ...

personalisation strategy • Leading funnel analysis to identify drop offs and conversion opportunities • Owning A and B testing and experimentation, measuring uplift and impact • Supporting propensity modelling and recommendation systems • Analysing key metrics such as conversion, engagement and click through rates • Contributing to improvements across complex consumer product journeys … Advanced SQL and Python skills, with Python central to day to day work • Experience with experimentation, A/B testing and optimisation • Background in propensity modelling or recommendation driven environments • Confidence working cross functionally with product managers and engineers • Strong communication skills and a commercially focused mindset What ...

causal inference to distinguish genuine impact from correlation? Have you applied propensity methods or counterfactual modelling to customer or product data? Would you like to help move an established Data Science team from prediction into causality? A major global consumer technology business is hiring a Data Scientist into … 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 ...

product and the future success of the business. Skills & Experience Strong commercial experience building machine learning models in Python Excellent understanding of predictive modelling, classification or propensity modelling Experience with feature engineering, model evaluation and experimentation Comfortable working across the full machine learning lifecycle Experience working with ...

level Data Scientist role focused on developing and deploying customer-focused machine learning models. Projects include: Customer segmentation Customer Lifetime Value (CLTV) modelling Demand forecasting Propensity modelling Targeted promotions and campaign optimisation Data Science initiatives linked to a major new loyalty programme The team are still early ...

Data Scientist | London | Up to £65,000 Data Scientist - Predictive Modelling & Analytics Consultancy London (2 days per week onsite) Up to £65,000 + Benefits I'm currently partnering with a leading UK data and analytics consultancy that combines proprietary data assets with advanced analytics and modelling solutions … with clients. The Role You'll work on a variety of projects focused on customer insight, marketing effectiveness and predictive modelling. Typical work includes propensity modelling, customer segmentation, risk analysis and scorecard development. You'll collaborate with industry specialists, analysts and project teams to understand client challenges, build ...

selected paid social channels. Google/Bing Shopping solution ownership, evolution, governance, and performance. Channel mix, budget allocation, and contribution guardrails Propensity model activation: how predictive signals are tested, trusted, and operationalised. Measurement truth: incrementality, halo, MMM, attribution Vendor and tooling strategy: controlled testing of platforms vs internal systems. … Activation Define segmentation across department, margin band, seller ID, and performance tiers. Ensure segments are tested & activated across other channels (Channel activation strategy) Translate propensity and LTV models into activation. 3. Channel Strategy Shopping: segmentation, waste control, and reporting dashboards. Affiliates: partner strategy and contribution control. CRM: lifecycle strategy ...