planning, commissioning, population health management, and evaluation; develop and apply forecasting, predictive, risk, segmentation, scenario, simulation and machine-learning methods where these strengthen decision-making; lead the development and assurance of analytical tools, including population segmentation, risk stratification and case-finding approaches; establish standards for programming, version control … insights and actionable recommendations for senior leaders, commissioners, clinicians and operational teams; work with stakeholders to embed analytical products into strategic and operational decision-making and monitor their continuing effectiveness; and build organisational data science capability through line management, coaching, technical supervision and the development of reusable methods ...