Package: Competitive based on experienceAs a Senior Data Scientist, you will play a key role in shaping and delivering advanced data science and AI solutions across healthcare systems. You’ll work at the intersection of applied research and real-world delivery, developing intelligent models that operate within complex, regulated healthcare environments.This role combines deep hands-on technical work with influence across product, engineering, and clinical-facing teams.Develop, test, and refine advanced machine learning and AI approaches to support intelligent, semi-autonomous healthcare workflowsPush forward capabilities in natural language understanding across clinical, operational, and administrative datasetsInvestigate and apply modern approaches to reasoning, decision support, and multi-modal data analysisCustomise and optimise large language models for healthcare-specific terminology, data sensitivity, and governance requirementsDesign end-to-end data science workflows that combine structured and unstructured data sources, including clinical records, claims, and interoperability standards such as FHIR and HL7Build and evolve specialised models that support clinical insight, operational efficiency, and healthcare financial processesAct as a technical contributor within cross-functional teams, providing guidance on AI and data science best practicesSupport and coach other data scientists and engineers through technical reviews, knowledge sharing, and collaborative problem-solvingStay close to emerging techniques and tooling, helping translate innovation into practical,Define and apply strong validation and monitoring approaches to ensure models are accurate, robust, and unbiasedWork within healthcare data privacy, security, and compliance frameworks, ensuring solutions meet regulatory expectationsCollaborate closely with engineering teams to transition models from experimentation into reliable, production-grade systemsRequired Experience & SkillsMaster’s Degree in Data Science, Computer Science, Machine Learning, AI, or a related disciplineExperience delivering machine learning or AI solutions, including models running in production environmentsStrong programming capability in Python and/or R, with hands-on use of modern ML librariesPractical experience with generative AI, large language models, and transformer-based techniquesFamiliarity with contemporary AI frameworks and toolchains such as PyTorch, TensorFlow, Hugging Face, LangChain, and retrieval-based systemsExperience applying advanced analytics or AI within healthcare, life sciences, or similarly regulated domainsExposure to cloud-based environments (e.g. AWS) and production data science or MLOps workflowsWorking with multi-modal data (text, images, structured datasets)Experience incorporating knowledge graphs or symbolic approaches into data science solutionsDemonstrated ability to take ideas from early exploration through to live, operational deployment
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