Senior Data Scientist

**Business Unit:** Discovery Health **Function:** Data Analysis **Date:** 5 Jun 2026 **Discovery Health** Senior Data Scientist **About Discovery** Discovery’s core purpose is to make people healthier and to enhance and protect their lives. We seek out and invest in exceptional individuals who understand and support our core purpose, and whose own values align with those of Discovery. Our fast\-paced and dynamic environment enables smart, self\-driven people to be their best. As global thought leaders, Discovery is passionate about innovating to not only achieve financial success, but to ignite positive and meaningful change within our society. **About (Risk Intelligence)** The Risk Intelligence team is responsible for the measurement and reporting of clinical experience for each of our client schemes, providing actuarial analytic support for managed care interventions, healthcare quality public reporting initiatives, provider contracting, and clinical profile reports of clinician utilisation patterns and adherence to evidence based clinical process measures. **Key Purpose** In this role you will be involved in creating opportunities that delight our customers by leveraging Discovery’s vast clinical, demographic, and operational data. The successful applicant will be working within a highly specialized and growing team investigating ways to optimize and improve client services for Discovery’s client schemes. The successful candidate must be motivated, productive and work well within a team. **Areas of responsibility may include but not limited to** * Lead the design, development, and deployment of LLM \- and generative AI\-based solutions that address large\-scale and complex problems and materially drive the company’s global product offerings and strategy forward. * Collaborate with product owners, project managers, and executive stakeholders to identify and prioritize business problems that can be solved with LLMs. * Conduct desktop research into the state\-of\-the\-art in LLMs and Generative AI and apply findings to real\-world applications (either requested by business or suggested by yourself). * Conduct research and development of speech\-to\-text and audio\-based language models, integrating with LLM pipelines where applicable. * Conduct experimental research on the use of LLMs in real\-world company applications to ensure that design and development decisions are made scientifically and optimize for and balance all business requirements. These include accuracy, scalability, efficiency, reliability, safety, and cost\-effectiveness. * Translate strategic direction into technical product definitions and roadmaps. * Participate actively in internal and external communities discussing and designing policies for the ethical use of AI and ensure your team’s work meets ethical AI standards. * Contribute substantially to a culture of innovation, leading the prototyping and development of novel methodologies and approaches. Provide strong thought...