4 of 4 Propensity Modelling Jobs in the UK excluding London

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 ...

combining core insight work with opportunities to apply data science. You'll work on projects ranging from audits, campaign analysis and segmentation through to propensity modelling, lifetime value forecasting and attribution. You'll have the opportunity to work directly with clients, shape analytical approaches, develop new tools … experience using Python or R to solve client or business problems. Understanding of at least one data science technique relevant to fundraising, such as propensity modelling, lifetime value or segmentation-led forecasting. Experience managing the analytical relationship for a small portfolio of client accounts. Confidence designing an analytical ...

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 ...

solved at both a tactical and strategic level. Experience delivering marketing analytics e.g., Marketing Mix Modeling , geo experiments, meta-analysis, audience segmentation and propensity modeling . Understanding of Bayesian approaches and modeling frameworks. Proven ability to generate practical solutions for marketing analytics problems and use results to drive business ...