Job summary
Join one of the UK's largest and most successful NHS trusts as a Senior Population Health Data Scientist. Based in our pioneering Population Health Hub, you'll play a key role in transforming how we use data to improve health outcomes and tackle health inequalities.
You'll lead high-impact projects using Python, advanced analytics, and real-time NHS data on a cutting-edge cloud platform. From building predictive models to designing data visualisations, your insights will directly shape care models, inform service redesign, and drive preventative, equitable healthcare.
You'll work collaboratively with clinicians, system leaders, and the London AI Centre, combining analytical expertise with real-world impact. This is more than just a technical role, it's your chance to contribute to healthcare transformation at system level.
If you're ambitious, innovative, and passionate about improving population health, we want to hear from you.
Our values: Caring. Ambitious. Inclusive. Join us and make a difference
Main duties of the job
We are seeking a Senior Population Health Data Scientist to lead complex analytics and drive system-wide transformation across Guy's and St Thomas' NHS Foundation Trust. You will evaluate and redesign care pathways, applying advanced analytics (e.g., regression modelling, risk stratification) to tackle health inequalities and improve outcomes.
Using tools like Python, R, SQL, and Power BI, you will extract and analyse data from multiple care settings to produce actionable insights, support prevention, and drive evidence-based decision-making. You'll also design KPI frameworks, evaluate impact, and communicate findings to senior leaders, clinicians, and wider stakeholders.
This role demands strong leadership in capability building, project delivery, stakeholder engagement, and analytical strategy. You'll build a culture of continuous improvement, lead training initiatives, mentor staff, and contribute to a technical community of practice.
With a focus on governance, quality, and innovation, you'll ensure data use is ethical, reproducible, and impactful -- influencing resource allocation, investment decisions, and care transformation at all levels
About us
Guy's and St Thomas' NHS Foundation Trust comprises five of the UK's best known hospitals - Guy's, St Thomas', Evelina London Children's Hospital, Royal Brompton and Harefield - as well as community services in Lambeth and Southwark, all with a long history of high quality care, clinical excellence, research and innovation. We are among the UK's busiest, most successful foundation trusts. We provide specialist care for patients including heart and lung, cancer and renal services as well as a full range of local hospital and community services for people in Lambeth and Southwark.
We have a long tradition of clinical and scientific achievement and - as part of King's Health Partners - we are one of England's eight academic health sciences centres, bringing together world-class clinical services, teaching and research. We have one of the National Institute for Health Research's biomedical research centres, established with King's College London in 2007, as well as dedicated clinical research facilities.
Royal Brompton and Harefield hospitals joined Guy's and St Thomas' in February 2021 and is the largest specialist heart and lung centre in the UK and among the largest in Europe. We provide treatment for people with heart and lung disease, including rare and complex conditions, offering some of the most sophisticated treatment that is available anywhere in the world.
Job description
Job responsibilities
As Senior Population Health Data Scientist, you will provide expert-level leadership on the design, delivery, and use of advanced analytics to support population health improvement. This is a critical role, blending technical depth with system thinking, and supporting transformation through robust data insight. In this role, you will:
Apply advanced techniques using Python for data analysis, model development, and data visualisation
Work across some of the richest population health data available in the NHS, on near-real time data flows in a modern cloud platform
Design and lead complex analytical projects to inform service redesign and address health inequalities.
Collaborate with clinical teams, operational leaders, and system partners to embed data-informed decision-making.
Summarise and present data and conclusions in the most appropriate format for users
Build scalable tools and approaches to improve the Trusts capacity for population health management.
Contribute to strategic planning, insight generation, and capability building across the Trust and wider system.
Job description
Job responsibilities
As Senior Population Health Data Scientist, you will provide expert-level leadership on the design, delivery, and use of advanced analytics to support population health improvement. This is a critical role, blending technical depth with system thinking, and supporting transformation through robust data insight. In this role, you will:
Apply advanced techniques using Python for data analysis, model development, and data visualisation
Work across some of the richest population health data available in the NHS, on near-real time data flows in a modern cloud platform
Design and lead complex analytical projects to inform service redesign and address health inequalities.
Collaborate with clinical teams, operational leaders, and system partners to embed data-informed decision-making.
Summarise and present data and conclusions in the most appropriate format for users
Build scalable tools and approaches to improve the Trusts capacity for population health management.
Contribute to strategic planning, insight generation, and capability building across the Trust and wider system.
Person Specification
Qualifications
Essential
- MSc in Population Health, Public Health Informatics, Health Data Science or equivalent.
- Evidence of significant continuing professional development in data science, quality improvement or a related field
Desirable
- PhD level degree in relevant technical subject
- Medical degree, or other background working as a clinician
- Certification in project or programme methodologies (e.g., PRINCE2, Lean Six Sigma).
Knowledge & Experience
Essential
- Significant experience working in an analytical role within health, public health, or care sectors.
- Proven expertise in working with large, complex, and multi-source datasets.
- Track record of influencing decisions at senior level through high-impact analysis and visualisation.
- Expert proficiency in SQL, R, Python, Excel, Power BI or Tableau.
- Skilled in segmentation, stratification, equity analysis, and predictive analytics.
- Excellent project and stakeholder management, with ability to lead multiple complex streams simultaneously
- Experience in data science and machine learning projects in the healthcare sector.
Desirable
- Previous experience working in, or collaborating with, academia, in high impact and multi-institutional settings.
- Previous experience or building or working with OMOP Common Data Model
Skills and Ability
Essential
- Expert Proficiency in SQL and in Python
- Advanced understanding and application of data science and statistical techniques to healthcare data.
- Ability to manage a technical product lifecycle, including through end-user feedback and testing
Desirable
- Experience in R and in Javascript
- Proficiency using DBT +/- Snowflake +/- Azure
Personal Behavoirs
Essential
- Proven experience in the ability to interact with colleagues at all levels both clinical and non-clinical within healthcare
- Ability to produce and deliver, or receive and process, detailed complex and highly sensitive information
Person Specification
Qualifications
Essential
- MSc in Population Health, Public Health Informatics, Health Data Science or equivalent.
- Evidence of significant continuing professional development in data science, quality improvement or a related field
Desirable
- PhD level degree in relevant technical subject
- Medical degree, or other background working as a clinician
- Certification in project or programme methodologies (e.g., PRINCE2, Lean Six Sigma).
Knowledge & Experience
Essential
- Significant experience working in an analytical role within health, public health, or care sectors.
- Proven expertise in working with large, complex, and multi-source datasets.
- Track record of influencing decisions at senior level through high-impact analysis and visualisation.
- Expert proficiency in SQL, R, Python, Excel, Power BI or Tableau.
- Skilled in segmentation, stratification, equity analysis, and predictive analytics.
- Excellent project and stakeholder management, with ability to lead multiple complex streams simultaneously
- Experience in data science and machine learning projects in the healthcare sector.
Desirable
- Previous experience working in, or collaborating with, academia, in high impact and multi-institutional settings.
- Previous experience or building or working with OMOP Common Data Model
Skills and Ability
Essential
- Expert Proficiency in SQL and in Python
- Advanced understanding and application of data science and statistical techniques to healthcare data.
- Ability to manage a technical product lifecycle, including through end-user feedback and testing
Desirable
- Experience in R and in Javascript
- Proficiency using DBT +/- Snowflake +/- Azure
Personal Behavoirs
Essential
- Proven experience in the ability to interact with colleagues at all levels both clinical and non-clinical within healthcare
- Ability to produce and deliver, or receive and process, detailed complex and highly sensitive information
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.
Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).
From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).
Additional information
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.
Applications from job seekers who require current Skilled worker sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas and Immigration website (Opens in a new tab).
From 6 April 2017, skilled worker applicants, applying for entry clearance into the UK, have had to present a criminal record certificate from each country they have resided continuously or cumulatively for 12 months or more in the past 10 years. Adult dependants (over 18 years old) are also subject to this requirement. Guidance can be found here Criminal records checks for overseas applicants (Opens in a new tab).
