Lead, Data Scientist

Responsibilities

• Lead the technical execution and engineering delivery of AI and GenAI solutions across Group Risk, ensuring scalable, secure, and production-ready implementations.
• Translate business problems and strategic objectives into clear technical requirements, solution architectures, and measurable AI use cases, ensuring alignment between stakeholder needs and engineering delivery.
• Partner closely with business stakeholders, risk teams, and product owners to shape and prioritise high-value AI opportunities, conducting rapid prototyping and proof-of-value exercises to assess feasibility and impact.
• Design solution architectures and technical patterns for AI use cases, producing high-quality solution designs, technical documentation, and architecture artefacts.
• Drive the implementation and optimisation of Virtual Risk Manager / AI assistant capabilities, including LLM adoption, orchestration, retrieval, and performance...