Job Summary
The lead data scientist/econometrician provides vital data and insights to inform decisions, driving improvements in healthcare and impacting millions of people. You will lead the delivery of a range of complex projects, focusing on data and analytical aspects. You will be the lead expert for your areas of specialism, giving specialist advice, guidance, and leadership on the use of data and analytics to the HEU. You will work on various research projects commissioned by our clients under a consultancy model, which will take up to 80% of your time (this may change as the work of the unit evolves). You will line manage three people and support the chief analyst in the management and strategic development of the data and analytics function of the HEU.
Main Duties of the Job
Lead and deliver complex data and analytics projects, including: Forecasting admissions/discharges to optimise resources and reduce bottlenecks. Analysing health disparities by factors like socio-economic status and geography. Using NLP on unstructured data (e.g., clinician notes) for insights into patient needs. Applying machine learning to predict outcomes like readmissions or disease progression. Developing econometric models to assess policy impacts on health and costs. Analysing complex datasets to identify trends and solve business problems. Addressing novel, complex issues, clarifying questions, and innovating solutions. Ensuring best practices in data analysis and econometrics. Managing analytical software/systems, including procurement and improvement. Developing data policies affecting HEU and CSU teams. Quality-assuring team outputs. Acting as a lead expert and working independently within guidelines. Leading business development and data-focused proposal writing. About Us
The HEU is an NHS consultancy of 17 team members across three teams: Health Economics, Service Delivery, and Data and Analytics.
You will sit within the data and analytics team, led by the chief analyst and reporting to the lead data scientist/econometrician.
During projects, you will work closely across the HEU team, with data scientists, analysts, project managers, and health economists.
You will engage with our clients, partners, and stakeholders throughout projects, understanding their needs and communicating your work.
Job Responsibilities
Plan, organise, and deliver the data and analytic aspects of highly complex projects in a project leadership role. Projects could include: Building predictive models to forecast patient admissions and discharges, helping optimise hospital resources and reduce bottlenecks in areas like emergency departments. Analysing disparities in health outcomes across different populations, identifying factors like socio-economic status, geography, or access to care that contribute to inequalities. Applying NLP techniques to unstructured text data, such as clinician notes or patient feedback, to extract key information and improve understanding of patient needs and outcomes. Using supervised and unsupervised machine learning techniques to predict outcomes such as readmission rates, disease progression, or patient deterioration, aiding proactive care. Developing econometric models to evaluate the effects of healthcare policies or interventions on key outcomes, such as patient health, hospital utilisation, or treatment costs. Person Specification
Experience
Essential Masters degree in a related STEM subject or equivalent level of experience of working at a similar level in multiple similar settings. Significant and varied experience of extracting data, manipulating, understanding, transforming, wrangling, cleaning, and storing health data, at a managerial level. Ability to write well-designed code (e.g. SQL or Python) which follows good coding standards. Possess foundational knowledge in data science, statistical analysis, and machine learning techniques. Significant and varied experience working in data and analytics functions in the NHS, at a managerial level. Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Employer Details
Employer Name Midlands and Lancashire Commissioning Support Unit Address 10 South Colonnade, Canary Wharf, London, E14 5EA Employer's Website #J-18808-Ljbffr
The lead data scientist/econometrician provides vital data and insights to inform decisions, driving improvements in healthcare and impacting millions of people. You will lead the delivery of a range of complex projects, focusing on data and analytical aspects. You will be the lead expert for your areas of specialism, giving specialist advice, guidance, and leadership on the use of data and analytics to the HEU. You will work on various research projects commissioned by our clients under a consultancy model, which will take up to 80% of your time (this may change as the work of the unit evolves). You will line manage three people and support the chief analyst in the management and strategic development of the data and analytics function of the HEU.
Main Duties of the Job
Lead and deliver complex data and analytics projects, including: Forecasting admissions/discharges to optimise resources and reduce bottlenecks. Analysing health disparities by factors like socio-economic status and geography. Using NLP on unstructured data (e.g., clinician notes) for insights into patient needs. Applying machine learning to predict outcomes like readmissions or disease progression. Developing econometric models to assess policy impacts on health and costs. Analysing complex datasets to identify trends and solve business problems. Addressing novel, complex issues, clarifying questions, and innovating solutions. Ensuring best practices in data analysis and econometrics. Managing analytical software/systems, including procurement and improvement. Developing data policies affecting HEU and CSU teams. Quality-assuring team outputs. Acting as a lead expert and working independently within guidelines. Leading business development and data-focused proposal writing. About Us
The HEU is an NHS consultancy of 17 team members across three teams: Health Economics, Service Delivery, and Data and Analytics.
You will sit within the data and analytics team, led by the chief analyst and reporting to the lead data scientist/econometrician.
During projects, you will work closely across the HEU team, with data scientists, analysts, project managers, and health economists.
You will engage with our clients, partners, and stakeholders throughout projects, understanding their needs and communicating your work.
Job Responsibilities
Plan, organise, and deliver the data and analytic aspects of highly complex projects in a project leadership role. Projects could include: Building predictive models to forecast patient admissions and discharges, helping optimise hospital resources and reduce bottlenecks in areas like emergency departments. Analysing disparities in health outcomes across different populations, identifying factors like socio-economic status, geography, or access to care that contribute to inequalities. Applying NLP techniques to unstructured text data, such as clinician notes or patient feedback, to extract key information and improve understanding of patient needs and outcomes. Using supervised and unsupervised machine learning techniques to predict outcomes such as readmission rates, disease progression, or patient deterioration, aiding proactive care. Developing econometric models to evaluate the effects of healthcare policies or interventions on key outcomes, such as patient health, hospital utilisation, or treatment costs. Person Specification
Experience
Essential Masters degree in a related STEM subject or equivalent level of experience of working at a similar level in multiple similar settings. Significant and varied experience of extracting data, manipulating, understanding, transforming, wrangling, cleaning, and storing health data, at a managerial level. Ability to write well-designed code (e.g. SQL or Python) which follows good coding standards. Possess foundational knowledge in data science, statistical analysis, and machine learning techniques. Significant and varied experience working in data and analytics functions in the NHS, at a managerial level. Disclosure and Barring Service Check
This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions. Employer Details
Employer Name Midlands and Lancashire Commissioning Support Unit Address 10 South Colonnade, Canary Wharf, London, E14 5EA Employer's Website #J-18808-Ljbffr
