Senior Data Scientist

About Us

About Us
We are a leading consultancy with a purpose to make an enduring impact on health and healthcare. We work with leaders and frontline teams to improve health, transform healthcare, drive adoption of innovation and create value through investment. Our consultancy serves the entire healthcare sector, from payors and providers of care, to life science companies, health tech and sector suppliers and health investors.

We provide end-to-end services, from strategy through implementation, accelerated by data, digital and AI. We shape opinion through evidence-based thought leadership on key issues affecting health. With unmatched ability to access and use health data, our consultants are a driving force for delivering positive and meaningful change. Our strategic intent is to build the leading consulting company dedicated to health.

We serve the entire healthcare sector, including healthcare systems (providers, payors and regulators), life sciences (pharmaceuticals, biotech, devices and diagnostics), health technology, health investors, and the wider supplier landscape. We provide end-to-end services, from strategy through implementation, supporting organisations to improve population health and healthcare outcomes. Our work spans strategy and transformation, finance and performance improvement, and delivery accelerated by data, digital and AI.

Our consulting is accelerated by data. We are recognised for our expertise in its safe and responsible application, improving health and healthcare delivery, supporting adoption of innovation, generating evidence, and informing decision-making. Our engineering and data science capabilities underpin our consulting and are also deployed directly with clients, often as part of multidisciplinary teams. We are building a community of expert consultants who want to operate at the leading edge of the profession and who share a passion for health.

Through structured career development from Analyst to Partner, underpinned by apprenticeship, mentorship and formal training, we are cultivating the leaders of the future and supporting individuals to develop distinctive expertise that creates value for our clients. Our Mission is to be invaluable to our clients, supporting them to innovate and make lasting improvements and to build an exceptional company that attracts, develops, and retains a trusted and uniquely talented team.

The Senior Data Scientist is a senior technical contributor within CF's Data Innovation team, playing a critical role in the design and delivery of high-impact data science solutions across the healthcare sector. The role sits at the intersection of advanced analytics, healthcare strategy, and client delivery, supporting NHS, life sciences, and health sector clients to improve outcomes, inform decision-making, and create value through data.

Senior Data Scientists work closely with consultants, clients, and other technical specialists to scope, shape, and deliver complex analytical work. They are comfortable operating in ambiguous problem spaces, applying structured problem-solving and strong technical judgement to translate complex business, clinical, and policy questions into robust, actionable analytics.

The role focuses on hands-on delivery excellence, technical oversight within projects, and high-quality client engagement. Senior Data Scientists contribute to the development of CF's data capabilities and ways of working, while supporting and mentoring junior colleagues.

Delivery

• Partner with NHS, life sciences, and other healthcare clients to translate complex and ambiguous questions into well-defined analytical problem statements
• Lead the end-to-end delivery of data science work streams, from scoping and design through to analysis, insight generation, and client presentation
• Act as a trusted analytical advisor within projects, shaping both the analytical approach and the resulting solution
• Apply structured problem-solving approaches to complex healthcare, commercial, and policy challenges
• Communicate insights clearly to non-technical audiences, explaining methods, assumptions, limitations, and implications

Advanced analytics and modelling

• Design and develop predictive models to forecast health outcomes, healthcare utilisation, and medicine sales performance
• Conduct population health analyses, disease burden studies, and real-world evidence (RWE) research using large-scale healthcare datasets
• Apply robust statistical methods to ensure analytical rigour, transparency, and interpretability
• Extract insight from both structured and unstructured data sources, including clinical text and public data
• Ensure analytical outputs are decision-focused and aligned to client objectives

Data engineering and pipelines

• Design, build, and maintain complex data pipelines integrating multiple disparate data sources
• Ensure data quality, reliability, security, and scalability across analytical solutions
• Apply software engineering best practices to data…