Senior/Lead Data Scientist

Position Summary We are hiring a Senior/ Lead Data Scientist who will serve as a recognised organisational expert in machine learning, decision science and advanced analytics. This role will shape the Data & AI technical strategy, solve the most complex data problems, lead innovation across portfolios and establish reusable capabilities that materially improve healthcare decisions, operational outcomes and business performance. Responsibilities Strategy, Architecture and Technical Leadership Define the strategic direction, reference architectures and capability roadmap for machine learning and advanced analytics across priority healthcare use cases. Act as the senior technical authority for complex or high-risk data science problems; challenge assumptions, select appropriate methods and make trade-offs across value, risk, interpretability, scalability and time to market. Lead the design of enterprise-grade analytical approaches spanning predictive modelling, forecasting, causal inference, fraud detection, risk benchmarking, personalisation, optimisation, decision intelligence and model-driven products. Lead technical due diligence and evaluation of emerging methods, platforms and vendor capabilities; distinguish durable business value from experimentation hype. Scientific Standards, Governance and Responsible AI Create standards for scientific validation, uncertainty quantification, explainability, fairness, transportability, model risk, governance, monitoring and evidence required for material decisions. Sponsor the responsible adoption of AI-assisted development tools and agentic workflow automation across the function; Design an operating model in which agents automate repeatable process stages. Platforms, Reusability and Scalable Delivery Shape reusable data, feature, modelling, evaluation and monitoring platforms in partnership with engineering, architecture, security and product leaders. Establish reusable analytical assets, feature patterns, model evaluation frameworks and monitoring standards that can scale across markets, products and healthcare use cases. Influence platform and MLOps priorities to improve speed, reliability, governance and production readiness of data science solutions. Stakeholder Influence and Organisational Capability Influence executive decisions and portfolio priorities by communicating evidence, uncertainty, strategic options and expected impact. Candidate Profile Required Qualifications 810+ years of progressive experience in machine learning, advanced analytics, statistics, decision science or related disciplines, with a substantial record of production impact. .