Senior Data Scientist

About the Role

As a Senior Data Scientist, you will join a collaborative and highly skilled team that values strong technical foundations, thoughtful problem solving, and responsible innovation. From improving existing products to helping catalyse new data‑driven solutions, the team is constantly exploring how modern data science and generative AI can deliver measurable impact for healthcare providers.

• Design and develop high‑quality, scalable analytics and AI solutions, including machine learning models and generative AI applications.
• Apply advanced statistical modelling and modern data science techniques to solve complex high‑impact problems.
• Work closely with Engineering, Product and Business stakeholders to embed data science solutions into production systems.
• Champion data science best practices across the organisation, from model governance and validation to responsible AI use.
• Review and contribute to production‑level code, ensuring quality, consistency and adherence to development standards.
• Keep up to date with emerging technologies and techniques to drive continuous innovation.
• Mentor and support junior data scientists and analysts, fostering technical growth and consistent workflows.
• Translate complex analytical insights into clear, actionable recommendations for technical and non‑technical audiences.

• Significant hands‑on experience as a data scientist with a strong track record of delivering measurable business or product impact.
• Degree in a computational or quantitative discipline such as Data Science, Statistics, Engineering, Mathematics, Physics or a related field.
• Strong programming skills in Python or R, with solid experience using SQL and working with relational and large‑scale data sets.
• Deep expertise in statistical modelling and machine learning, with practical experience taking models into production.
• Experience designing and applying generative AI solutions, including working with large language models (LLMs) and prompt engineering.
• Familiarity with data visualisation tools such as Tableau, Power BI, Qlik or similar.
• Experience working in cloud environments, ideally Microsoft Azure, with an understanding of modern data platforms.
• Strong understanding of MLOps practices, including versioning, monitoring and automated deployment pipelines.
• Experience working in Agile, CI/CD‑driven engineering environments and using ALM and source control tools such as Jira, Azure Dev Ops, Git.
• Excellent communication skills, with the ability to explain complex ideas clearly and adapt messaging to different audiences.
• Proactive, self‑motivated approach with confidence to influence, collaborate and continuously improve technical processes.
• Experience working with healthcare, medical or claims data is highly desired.