Employer NHS Midlands and Lancashire Commissioning Support Unit
Employer type NHS
Site 10 South Colonnade
Town Canary Wharf
Salary £37,338 - £44,962 per annum
Salary period Yearly
Closing 17/02/2025 23:59
Interview date 10/03/2025
Data ScientistNHS AfC: Band 6Job overview
The data scientist / econometrician provides vital data and insights to inform decisions, driving improvements in healthcare and impacting millions of people. You will work in a collaborative environment, with data scientists, health economists, project managers, data engineers and other healthcare professionals to extract, transform, and clean data ready for analytical projects. You will work on various research projects as 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).
Main duties of the job
Plan, organise, and deliver data and analytics for projects, including:
- Building predictive models to forecast admissions/discharges, optimising resources and reducing bottlenecks in emergency departments.
- Analysing health disparities across populations by socio-economic factors, geography, or access to care.
- Applying NLP to unstructured data (e.g., clinician notes, patient feedback) for insights into patient needs.
- Using machine learning to predict outcomes like readmission rates or disease progression, supporting proactive care.
- Developing econometric models to assess the impact of healthcare policies on health, utilisation, and costs.
Analyse datasets to identify trends, apply statistical models to solve business problems, and choose appropriate methods for data processing. Follow and improve best practices in data analysis and econometrics. Manage, adapt, and enhance software systems used for analysis.
Develop data and analytics policies affecting HEU, implementing changes once approved. Quality-assure team outputs, ensuring high standards. Act as a subject-matter expert, working independently within guidelines and seeking advice when needed.
Participate in business development meetings, lead proposal writing on data science aspects, understand client aims, plan solutions, and estimate project costs.
Working for our organisation
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.
Detailed job description and main responsibilities
Data science function
· Plan, organise and deliver the data and analytic aspects of projects. Projects could include:
o Building predictive models to forecast patient admissions and discharges, helping optimise hospital resources and reduce bottlenecks in areas like emergency departments.
o Analysing disparities in health outcomes across different populations, identifying factors like socio-economic status, geography, or access to care that contribute to inequalities.
o 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.
o Using supervised and unsupervised machine learning techniques to predict outcomes such as readmission rates, disease progression, or patient deterioration, aiding proactive care.
o Developing econometric models to evaluate the effects of healthcare policies or interventions on key outcomes, such as patient health, hospital utilisation, or treatment costs.
· Analyse datasets to identify trends and patterns, and applies statistical models to solve business problems; make decisions on appropriate methods for data cleaning, processing, and analysis.
· Follow data analysis and econometrics best practices and contribute to the ongoing development and improvement of these.
· Be able to use, adapt and improve systems and software used to deliver statistical analysis and other functions as required for projects.
· Propose and develop policies and procedures relating to data and analytics, which affect the HEU. Implement changes once agreed with the relevant person or group.
· Appraise and quality assure the analytical outputs from the team.
· Act as a specialist in own area and achieve own objectives. Act independently within established guidelines, escalating and seeking advice as required.
· Undertake business development meetings, supported by colleagues. Lead on and contribute to proposal writing, with a focus on data science aspects of the work. This includes understanding the client aims and scope of project, identifying how we can achieve this, and calculating cost.
Team-working
· Provide guidance to junior team members, demonstrating best practices and assisting with technical challenges.
· Proactively provide training and share knowledge on areas of expertise to the wider unit.
· Deliver training to clients on own area of expertise.
· Work independently on data projects within established guidelines, with advice available when required.
Communication and networking
· Communicate complex information and insights to non-technical stakeholders in a way which can be easily understood. This may be written or oral.
· Write high-quality reports which effectively communicate our findings in an engaging way, focussing on impact and achieving our clients’ goals.
· Be able to synthesise multiple sources to communicate on complex issues.
· Understand client needs and objectives, working with the client and team to find solutions and achieve these goals.
· Make judgements where there are conflicting views and make decisions where necessary, working with all parties to achieve buy-in.
· Contribute to other areas of the HEU to support our wider development as a unit and as a team.
· Proactively work with the senior communications manager to help promote our work, contributing to the communications plan of the HEU and sharing our work so that we contribute to the development of analytics in the NHS.
Project and financial management
· Lead on small projects and work with others to deliver projects to time, scope, budget and quality.
· Plan and organise complex data analysis tasks, ensuring that project timelines are met; adjusts activities based on evolving data requirements.
· Ensure that projects are delivered to budget, including the cost of own time spent on a project, and where potential for budget deviation is identified, flag the issue as early as possible.
· Horizon-scan and identify potential issues before they occur, and work to resolve issues where they do occur.
· Follow all business processes of the HEU.
Person specificationExperience
- Bachelor's degree in a related STEM subject or equivalent level of experience of working at a similar level in a similar setting
- Experience of extracting data, manipulating, understanding, transforming, wrangling, cleaning, and storing health data
- 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.
- Experience working in data and analytics functions in the NHS.
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