Data Scientist

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., * 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., The Data Scientist works at the intersection of data engineering, analytics and digital transformation. The postholder develops productionready analytical models aligned to the Trusts cloud and enterprise data architecture, enabling predictive insight into demand, risk, outcomes, and health inequalities.A key aspect of the role includes building the Trusts 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, versioncontrolled and fully documented.
• Support data quality improvement and alignment to validated datasets.
• Integrate models into BI dashboards to support operational and clinical decisionmaking.
• Advise on responsible AI, ethical use of data, and compliance with Trust policies.
• Mentor analytical colleagues and support upskilling across the wider analytics community.

• 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

• 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

• 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

• 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

• 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

• 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., * 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

• 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., * 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

• 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.

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.

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.