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 ❯
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 ❯
Newcastle upon Tyne, United Kingdom Hybrid / WFH Options
NHS Counter Fraud Authority
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 ❯
NHS Arden and Greater East Midlands Commissioning Support Unit
analysis and insights in support of national and regional projects. The post-holder will bring, and be supported to further develop, real technical analytical expertise across disciplines such as modelling, statistics, data science, operational research and/or health economics. The post-holder will be passionate about the contribution they can make to effective decision making. They will be … and organisational activity and financial plans Hold extensive knowledge of NHS data and able to create linked datasets Select and apply the most appropriate analytical technique, underpinned by robust statistical understanding Provide advanced analytical services to strategic healthcare projects and programmes in the form of descriptive analyses, prospective service modelling, retrospective analyses and evaluation Utilise modelling and … forecasting techniques to predict future need and demand. Lead economic and quantitative evaluations using econometric and decision modelling techniques Automate reporting and develop data pipelines Scope and develop reporting outputs, including dashboard development in Tableau and/or FDP Lead delivery of analytical work programmes, matrix managing across multiple staff not under direct line management Person Specification Education/ More ❯
NHS Arden and Greater East Midlands Commissioning Support Unit
analysis and insights in support of national and regional projects. The post-holder will bring, and be supported to further develop, real technical analytical expertise across disciplines such as modelling, statistics, data science, operational research and/or health economics. The post-holder will be passionate about the contribution they can make to effective decision making. They will be … and organisational activity and financial plans Hold extensive knowledge of NHS data and able to create linked datasets Select and apply the most appropriate analytical technique, underpinned by robust statistical understanding Provide advanced analytical services to strategic healthcare projects and programmes in the form of descriptive analyses, prospective service modelling, retrospective analyses and evaluation Utilise modelling and … forecasting techniques to predict future need and demand. Lead economic and quantitative evaluations using econometric and decision modelling techniques Automate reporting and develop data pipelines Scope and develop reporting outputs, including dashboard development in Tableau and/or FDP Lead delivery of analytical work programmes, matrix managing across multiple staff not under direct line management Person Specification Education/ More ❯
