2 of 2 Contract Statistical Modelling Jobs in the North of England

crime across the NHS. Further information about our work and annual plan for delivering this is available on our website. The Data Scientist role requires expertise in machine learning, statistical analysis, anomaly detection, and strong communication and collaboration skills. Key responsibilities include developing innovative models, designing, applying, and optimising models in a dynamic environment. The role is critical in … project planning, using data to drive business objectives, and defining project directions to achieve financial targets. With a deep understanding of data science, including machine learning, predictive modelling, and deep learning, the Data Scientist will tackle complex challenges and extract actionable insights from diverse datasets. They will lead model development and ensure solutions meet business and government standards. The … NHSCFA goals, ensuring accountability for innovative outcomes. Utilising the latest advanced methods, they will embed analytics into the organisation to enhance fraud detection within the NHS. Clear communication of statistical outputs and results to non-technical stakeholders is crucial, influencing decisions like criminal intervention, policy changes, or risk metrics based on data-driven insights. The role demands adherence to More ❯

Analyst to join our cutting-edge analytics team and drive forward our AI-powered initiatives.About the RoleIn this fast-paced contract position, you'll play a pivotal role in modelling data, designing analytical pipelines, and contributing to intelligent solutions. You'll collaborate with cross-functional teams to enhance performance, guide decision-making, and unlock hidden value across large datasets. … Key Skills & TechnologiesWe're seeking someone with hands-on experience in: Data Science - Expert-level analysis, forecasting, and statistical modelling Artificial Intelligence (AI) - Familiarity with building or improving intelligent systems Machine Learning - Designing, training, and refining algorithms for predictive analytics Databricks - Advanced usage for scalable data engineering and analytics workflows Data Modelling - Structuring and optimising databases for More ❯