5 of 5 Permanent Predictive Modelling Jobs in the Thames Valley

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 Analytics, Marketing Analytics, Customer Lifetime Value, Churn Prediction, Demand Forecasting, Stock Forecasting, Production Machine Learning, Cloud ...

similar. Excellent stakeholder management and communication skills. Commercial awareness and the ability to turn data insight into business outcomes. Nice to Have: Knowledge of predictive modelling, pricing, enrichment, or customer analytics. Exposure to machine learning and advanced statistical techniques. Benefits: Hybrid working & flexi-time Annual bonus opportunity. ...

challenges building proprietary software that makes a difference in the world. You will design, develop and maintain innovative tools spanning data management, traceability, visualisation, predictive modelling, material and component design, and production quality assurance. You'll work closely with process engineers, technicians and material scientists to deliver high ...

sales department budget, including expenses related to personnel, marketing, technology, and other resources. • Improves the accuracy of sales forecasting by implementing advanced data analytics, predictive modeling, and CRM tools. • Recruits, hires, and onboards sales professionals at various levels and provides coaching, training, and mentorship to enhance their skills ...

measurement solutions that solve complex business challenges and deliver measurable commercial value. Data Science Product Development: Build and maintain scalable data science products, including predictive models, forecasting solutions, segmentation, recommendation engines and experimentation frameworks that support business decision-making. Data Engineering & Model Productionisation: Develop robust analytical datasets and machine … methods and causal inference techniques to evaluate business performance and impact. Technical Leadership & Team Development: Mentor Data Scientists and Analysts, sharing best practices across modelling, experimentation, coding standards and commercial problem solving. Data Science Strategy & Innovation: Contribute to the data science roadmap, champion best practices and develop innovative retail ...