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An established industry player is seeking a Band 7 Data Scientist to join their dynamic team in the heart of a major healthcare institution. This hybrid role offers the chance to work closely with clinicians and managers, using your data expertise to drive improvements in patient care and hospital operations. Collaborate with a friendly team on impactful projects, leveraging your skills in R and Python to create analysis products and develop models that enhance decision-making. With a focus on diversity and personal development, this position provides an exciting opportunity to turn your job into a fulfilling career while contributing to world-class healthcare.
We are located in the heart of one of England's largest data-rich acute hospitals, seeking your expertise to uncover and narrate the stories hidden within our data.
NUH is a large acute trust featured in the series '24 Hours in A&E'. Our data team is well-connected with senior decision-makers, and the volume of data continues to grow. We focus on uncovering meaningful signals in noise and making data operationally useful for decision-making.
We are a small, friendly team working on impactful projects across various subjects including inpatient and outpatient care, theatres, diagnostics, elective and emergency work, paediatrics, planning, and capital projects.
You will collaborate with other data scientists and analysts to:
With over 19,000 staff, NUH is a major employer supporting health and wellbeing in our community, leading in research, education, and innovation.
Join our team at NUH, where we value diversity and welcome new ideas to develop our team and deliver world-class healthcare. We offer extensive personal development opportunities to turn your job into a career.
We especially encourage applications from individuals who identify as Black, Asian, and Minority Ethnic, or Disabled, as we strive for better representation.
See the attached file for the detailed job description. If you've used LLMs (e.g., ChatGPT, Claude) to prepare your application, please disclose this, as undisclosed use will lead to rejection.
This is a hybrid role with in-person interviews at Queens Medical Centre, Nottingham. The application deadline is Friday, 9 May 2025.