7 of 7 Propensity Modelling Jobs in the UK

Data Scientist Welwyn Garden City, Hertfordshire or Slough, Berkshire | Hybrid (2 Days Office) | Python | SQL | PySpark | Azure | Databricks | Machine Learning | Statistics | Time Series Forecasting | Propensity Models Role: Senior Data Scientist, Lead Data Scientist, ML Scientist, AI Data Scientist, Statistical Data Scientist, Predictive Analytics Key Skills: Senior Data Scientist, Data … Scientist, Machine Learning, Artificial Intelligence, Predictive Analytics, Statistical Modelling, Python, SQL, PySpark, Azure, Databricks, MLflow, GitHub Actions, CI/CD, Time Series Forecasting, Propensity Modelling, Feature Engineering, Data Engineering, Azure Machine Learning, Azure Data Platform, Experiment Design, A/B Testing, Hypothesis Testing, Predictive Modelling, Customer ...

learning models and scalable ML pipelines. Build and maintain machine learning infrastructure, ensuring strong governance, version control, and model lifecycle management. Apply advanced statistical modelling and experimentation techniques to solve complex business and marketing challenges. Partner with technical and non-technical stakeholders to translate data requirements into effective solutions. … approaches. Your Skills & Experience Strong experience in data science, machine learning, artificial intelligence, and advanced analytics. Expertise in Python and SQL for data analysis, modelling, and production-grade solutions. Experience designing, deploying, and maintaining machine learning models in cloud environments. Strong knowledge of Google Cloud Platform, with exposure ...

function while remaining closely involved in the most commercially important analytical work. You will: Lead, mentor, and develop a team of Data Scientists. Establish modelling standards, validation frameworks, and best practices. Deliver forecasting, customer segmentation, propensity modelling, and machine learning solutions. Take ownership of complex analytical challenges … team environment. A consulting, professional services, or highly client-facing background. This is essential. Strong Python and SQL expertise. Experience delivering forecasting, segmentation, propensity modelling, and predictive analytics projects. Exposure to production machine learning environments and ML Ops practices. Excellent communication skills with the ability to influence both ...

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 ...

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 ...

develop a team of Data Scientists while defining best practices across the function Design and deploy machine learning models across forecasting, customer segmentation, and propensity modelling Own end-to-end model development including feature engineering, validation, deployment, and monitoring Partner with Engineering and Product teams to build scalable ...

supporters. We are looking for a Business Intelligence Lead for Engagement who is, first and foremost, a strong analyst. Someone who's built propensity models, next best action logic, or lifetime value analysis, and who understands how to turn that thinking into segmentation, selections, and audience strategies that improve … team and shape how we understand our audiences, turning that understanding into action. What you will be doing Applying advanced analytical techniques e.g. propensity modelling and next best action, to understand audience behaviour and inform engagement and fundraising strategy Overseeing selections and segmentation for income and engagement activities ...