Data Scientist

As a Senior Data Scientist focused on AI Engineering, you will take ownership of full lifecycle projects, from problem definition through to deployment and monitoring.

• Lead end to end delivery of AI and LLM based solutions across underwriting and insurance journeys
• Build and deploy agentic workflows, RAG pipelines, and LLM powered applications for internal and customer facing products
• Work across structured and unstructured data, collaborating closely with Machine Learning and GenAI specialists
• Own cloud based deployment, CI/CD, and productionisation of models and services
• Partner with product managers, engineers, and business stakeholders to shape requirements and scope projects
• Communicate progress and outcomes clearly, building trust through delivery and technical leadership

This role sits within a balanced team of traditional ML and GenAI specialists, with exposure to both classic modelling and modern AI use cases.

• Strong Data Science fundamentals and experience delivering classical machine learning models in production
• Hands on experience with LLMs, agentic workflows, and applied AI solutions
• Proven capability deploying models and AI services end to end, including monitoring and optimisation
• Solid engineering mindset with experience in cloud platforms, CI/CD, APIs, and containerised environments
• Confidence owning projects independently and leading delivery in cross functional teams
• Experience working in regulated, customer facing, or large scale data environments is beneficial

They are a well established health and insurance technology organisation operating at significant scale, combining traditional insurance products with personalised, data driven services. Data Science is a core strategic capability, with strong executive support and a track record of deploying models and AI applications into live customer and internal workflows. The environment balances innovation with the rigour required in a regulated setting.