Senior Data Scientist

Overview

As a Senior Data Scientist you will lead complex analytical work that informs strategic commissioning and population health initiatives. You will build robust analytical products, translate findings into practical guidance, and support their implementation across the Strategic Value Unit and Population Health Unit. You’ll collaborate across disciplines, contribute to reproducible practice, and help grow data science capability. The role offers impact at the convergence of analytics, health service planning and policy interpretation, with a clear focus on actionable insights.

Pay / Benefits

• flexible working options
• inclusive workplace
• carer-friendly environment
• Disability Confident Employer
• wellbeing support
• professional development

Responsibilities

• Lead complex analytical projects from problem definition through modelling, validation, interpretation, implementation and monitoring
• Apply advanced statistical, data science and operational research methods to health data
• Develop, validate and implement analytical products with defined use, population, outcomes and limitations
• Translate results into clear recommendations for commissioners and clinicians and support uptake
• Ensure reproducible programming, documentation, peer review and model lifecycle management
• Collaborate with stakeholders to define analytical questions and assess benefits of analytical products
• Provide technical supervision, coaching and contribution to shared assets and standards
• Manage project priorities, risks and dependencies within the data science work programme

Key requirements

• Significant experience applying advanced data science, statistical or operational research methods to complex health or public-sector problems
• Experience independently leading analytical projects with multiple data sources
• Strong knowledge of NHS data and ability to work with large, linked datasets (quality, provenance, limitations)
• Experience designing, validating and implementing advanced analytical models with ongoing monitoring
• Experience providing technical supervision or mentoring in analytics
• Advanced programming in R and/or Python, strong SQL, version control, testing and reproducible reporting
• Ability to translate complex health questions into clearly defined analytical problems and communicate to diverse audiences

• Strong communication skills with technical and non-technical audiences
• Mentoring and coaching junior colleagues
• Collaborative and cross-functional team orientation
• R and/or Python
• SQL
• version control

…