Job summary

The senior data scientist / econometrician provides vital data and insights to inform decisions, driving improvements in healthcare and impacting millions of people. You will work on and lead the delivery of a range of projects, focusing on data and analytical aspects. You will provide specialist advice and guidance on the use of data and analytics to the HEU, informing how we deliver projects and achieve clients aims. 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).

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High-cost area allowance will apply to this role where there is a service requirement to routinely work from the London base and/or to be available to work within the local operational area (a minimum of 40% of contracted hours).

Main duties of the job

Plan, organise, and lead data and analytics aspects of projects. Responsibilities include:

• Building predictive models for admissions/discharges to optimise resources and reduce bottlenecks in emergency departments.
• Analysing health disparities across populations, identifying factors like socio-economic status 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 such as readmission rates or disease progression, supporting proactive care.
• Developing econometric models to evaluate healthcare policy effects on patient health, utilisation, and costs.
• Analysing complex datasets, identifying trends, and selecting methods for data cleaning, processing, and analysis.
• Addressing unique questions, developing innovative approaches to client needs.
• Following and contributing to best practices in data analysis.
• Managing software for statistical analysis, including procuring and implementing improvements.
• Developing and implementing policies for HEU and CSU teams.
• Quality-assuring team outputs.
• Acting independently as a subject-matter expert within guidelines.
• Supporting business development and contributing to data science proposals by scoping projects and estimating costs.

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.

Our mission

Leading the generation of world-class evidence through economics and analytics, improving health and care.

Our vision

The best possible health and care through evidence-based decision-making.

Our values

Passionate: we are a highly motivated team who do projects which excite us and stretch our thinking.

Outstanding: we use our vast knowledge, experience and network to provide high-quality products and achieve our clients aims.

Collaborative: we share our knowledge, invest in our community and value our diversity.

The Health Economics Unit is a specialist team hosted by NHS ML. The HEU has been created to deliver impactful insights that power the future development of health and care delivery. Our experts support health system and industry leaders to make the best possible decisions and design the highest quality, most efficient and most innovative services to improve the health of communities across the country.

Date posted: 11 February 2025

Pay scheme: Other

Salary: £43,745 to £59,593 a year + Inner London HCA as appropriate

Contract: Permanent

Working pattern: Full-time

Reference number: 877-CSU-7001229

Job locations

10 South Colonnade

Canary Wharf, London

E14 5EA

Person Specification Experience Essential

• Masters degree in a related STEM subject or equivalent level of experience of working at a similar level in a similar setting.
• 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.
• Varied experience working in data and analytics functions in the NHS, at a managerial level.

Employer details

Employer name: Midlands and Lancashire Commissioning Support Unit

Address: 10 South Colonnade, Canary Wharf, London, E14 5EA

Employers website:Midlands and Lancashire CSU

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