3 of 3 Permanent Predictive Modelling Jobs in the Thames Valley

description Job responsibilities 1. Data Analytics & Information ProvisionLead on Data Analysis: Perform advanced data analysis, applying statistical methods, business intelligence tools, and data modelling techniques to generate insights that support the Trusts strategic objectives across multiple areas, including performance, quality improvement, benchmarking, and operational efficiency.Reporting and Interpretation: Create … peers and identifying areas for improvement. Support the interpretation of national policy and assess its local impact in terms of activity, quality, and performance.Scenario Modelling: Use predictive modelling and forecasting techniques to simulate potential outcomes based on different strategic decisions, enabling senior management to make data-driven ...

data management, design optimisation, model integration, and production quality assurance. Key Responsibilities Design, develop, and maintain platforms for: Data management, traceability, and visualisation Predictive modelling and optimisation Material composition design Component design and build preparation Statistical process control and production quality assurance Work within an agile development team ...

developing an AI Insight & Decision Platform for industrial and manufacturing businesses. You’ll lead all AI and ML initiatives – from architecting intelligent agents and predictive models to integrating them into a live SaaS product used by industry clients. This role is focused on building practical, production-grade AI systems … that deliver measurable value. Responsibilities Design and deliver AI-driven features such as intelligent inventory optimisation, autonomous procurement, and predictive maintenance. Build and integrate LLM-driven components, ML pipelines, and OCR tools into a .NET/React SaaS stack on Azure. Set technical standards for AI development and MLOps. ...