Job summary
- Main area
- Digital/Data
- Grade
- Band 7
- Contract
- Permanent
- Hours
- Full time - 37.5 hours per week
- Job ref
- 301-JP-26-7780686-A
- Employer
- Midlands Partnership University NHS Foundation Trust
- Employer type
- NHS
- Site
- St. George's Hospital and Trust Headquarters
- Town
- Stafford
- Salary
- £47,810 - £54,710 per annum
- Salary period
- Yearly
- Closing
- 26/04/2026 23:59
Employer heading
Data Scientist
Band 7
Job overview
The Data Scientist leads the design and delivery of advanced analytical, statistical and machine learning models that support improved patient outcomes, proactive decision‑making and population health management. Acting as a specialist within MPFT’s modernised Data Platforms & Engineering function, the postholder strengthens the Trust’s capacity to move from descriptive reporting toward predictive, preventative and personalised insights.
The role supports the MOC aim to modernise the data function, integrate PHM analytics, introduce AI‑enabled capabilities, and increase analytical capacity without increasing corporate overhead.
The role supports the MOC aim to modernise the data function, integrate PHM analytics, introduce AI‑enabled capabilities, and increase analytical capacity without increasing corporate overhead.
Main duties of the job
- Develop predictive, descriptive, and prescriptive models using Python, R, SQL and cloud technologies.
- Lead Population Health Management (PHM) analytics and risk‑stratification approaches.
- Integrate, clean, and transform data from multiple clinical and corporate systems.
- Contribute to data quality by design and ensure model integrity and reproducibility.
- Oversee the Population Health Information Officer(s).
- Translate complex analytics into actionable insights for clinicians and leaders.
- Support Trust adoption of AI governance, interoperable data standards, and responsible innovation.
Working for our organisation
Come and work with us at our award-winning NHS Trust, leading the way for trying new and better ways of working to help improve life for our local communities.
We have around 9,000 staff who provide physical and mental healthcare, support for people with learning disabilities, and adult social care across Staffordshire, Stoke-on-Trent, Shropshire, and Telford & Wrekin. We also run regional and national services, including help for new parents (perinatal care), eating disorders, forensic services, sexual health, and support for people in prison with mental health, drug, or alcohol problems.
We offer great career development for both clinical and non-clinical roles, with ongoing training and support to help you learn and grow.
We are ‘United in our Uniqueness’ and committed to creating a workplace where everyone feels welcome and can be themselves, no matter their background or identity. We want our staff to feel supported and valued, and we aim to build a team that reflects the communities we serve. Together, we can make sure every voice is heard, and every difference is respected.
Please note, we may be required to close this vacancy early if we receive a high volume of applications
Please be aware that the use of artificial intelligence (AI) in completing application forms will be monitored to ensure fairness and transparency. If you have used AI you must state this in your application.
Detailed job description and main responsibilities
The Data Scientist works at the intersection of data engineering, analytics and digital transformation. The postholder develops production‑ready analytical models aligned to the Trust’s cloud and enterprise data architecture, enabling predictive insight into demand, risk, outcomes, and health inequalities.
A key aspect of the role includes building the Trust’s PHM capability, supporting integrated care priorities, and using linked datasets to identify unmet need, target interventions and evaluate services.
The role reinforces the Trusts aim of enhancing analytical capability while consolidating duplicated roles, modernising tooling, and embedding automation, AI safety and responsible data use.
A key aspect of the role includes building the Trust’s PHM capability, supporting integrated care priorities, and using linked datasets to identify unmet need, target interventions and evaluate services.
The role reinforces the Trusts aim of enhancing analytical capability while consolidating duplicated roles, modernising tooling, and embedding automation, AI safety and responsible data use.
Main responsibilities:
- Deliver machine learning models, risk stratification tools and forecasting models.
- Use advanced data manipulation techniques to extract insights from structured and unstructured data.
- Lead PHM analytics and ensure alignment with national frameworks and ICS priorities.
- Ensure all models are reproducible, version‑controlled and fully documented.
- Support data quality improvement and alignment to validated datasets.
- Integrate models into BI dashboards to support operational and clinical decision‑making.
- Advise on responsible AI, ethical use of data, and compliance with Trust policies.
- Mentor analytical colleagues and support upskilling across the wider analytics community.
Person specification
Qualifications & Training
Essential criteria
- Degree in Data Science, Statistics, Computer Science, or related discipline or equivalent qualifications, knowledge, or experience.
- Evidence of continuous professional development in data analytics or machine learning.
- Knowledge of NHS data standards, governance, and data security requirements.
- Formal training or experience in statistical analysis, Python, or R.
Desirable criteria
- MSc or PhD in Data Science, Health Informatics, or Public Health Analytics.
- Microsoft Certified: Azure Data Scientist / Databricks Certified Professional.
- Training in population health analytics
Experience
Essential criteria
- Experience in developing and deploying predictive and statistical models.
- Proven experience using SQL, Python, or R for data analysis and automation.
- Experience collaborating with multidisciplinary teams including clinicians and managers.
- Experience developing or supporting dashboards, reports, or analytical tools.
Desirable criteria
- Experience working within the NHS or public sector health analytics.
- Experience in multi-organisational data sharing or system-level analytics.
- Experience mentoring or supervising analysts.
Skills, Knowledge & Abilities
Essential criteria
- Strong understanding of data modelling, statistics, and machine learning.
- Understanding of NHS datasets, data flows, and definitions (NHS Data Dictionary).
- Ability to interpret and explain complex data clearly for non-technical audiences.
- Understanding of Information Governance, ethics, and AI explainability.
- Excellent problem-solving, organisational, and communication skills.
Desirable criteria
- Cloud computing (Azure ML, AWS SageMaker), APIs, Git
- Data engineering or DevOps awareness
- Familiarity with interoperability standards (FHIR, HL7, OpenEHR).
- Awareness of national data strategies (Data Saves Lives, PHM Framework).
- Experience contributing to research publications or analytics networks.
Personal attributes
Essential criteria
- Demonstrates MPFT values: Respectful, Honest, Caring, Compassionate, Collaborative.
- Analytical, inquisitive, and improvement-oriented.
- Strong interpersonal and collaboration skills.
- Proactive, adaptable, and able to balance multiple priorities.
Desirable criteria
- Role model for responsible data and AI use.
- Actively participates in professional data science or PHM communities.
- Experience supporting training and professional development of others.
- Promotes innovation and cross-boundary data collaboration.
Employer certification / accreditation badges
Documents to download
Further details / informal visits contact
- Name
- Avi Reddy
- Job title
- Associate Director of Data and Analytics
- Email address
- [email protected]
- Telephone number
- 07429408584