Head of Data Science (Principal Data Scientist)

Strategic leadership The postholder is responsible for setting the direction for data science at GSTT, deciding which clinical and operational challenges to tackle based on where measurable value can be created and how well they map to Trust-wide goals. This involves working closely with a wide network of partners, from executives and clinicians to Integrated Care Boards, patients, and technology suppliers. so that the function's work stays relevant to GSTT's changing needs and, as tools spread more widely, to national aims around efficiency, productivity, and care quality. Operational leadership As a working team lead, the postholder both manages and personally contributes to delivery, guiding pilots through every stage from framing the problem to measuring results. They keep the team focused on strategic priorities and on the outcomes that matter rather than intermediate deliverables, distribute internal and partner resources sensibly by starting small and expanding what proves effective, and apply disciplined product management and rapid test-and-learn cycles while owning project risk. Technical leadership The postholder will be expected to bring practical, hands-on skill across data science and machine learning, spanning statistical and predictive methods, LLMs, causal inference and experimental methods, and bespoke workflows. Develops sustainable ways to move pilots into production alongside data engineering, and offers technical direction to related work, including academic and industry collaborations. Job description Job responsibilities Strategic leadership The postholder is responsible for setting the direction for data science at GSTT, deciding which clinical and operational challenges to tackle based on where measurable value can be created and how well they map to Trust-wide goals. This involves working closely with a wide network of partners, from executives and clinicians to Integrated Care Boards, patients, and technology suppliers. so that the function's work stays relevant to GSTT's changing needs and, as tools spread more widely, to national aims around efficiency, productivity, and care quality. Operational leadership As a working team lead, the postholder both manages and personally contributes to delivery, guiding pilots through every stage from framing the problem to measuring results. They keep the team focused on strategic priorities and on the outcomes that matter rather than intermediate deliverables, distribute internal and partner resources sensibly by starting small and expanding what proves effective, and apply disciplined product management and rapid test-and-learn cycles while owning project risk. Technical leadership The postholder will be expected to bring practical, hands-on skill across data science and machine learning, spanning statistical and predictive methods, LLMs, causal inference and experimental methods, and bespoke workflows. Develops sustainable ways to move pilots into production alongside data engineering, and offers technical direction to related work, including academic and industry collaborations.