Data Scientist – AI & Data Science Advisory

We are seeking a Data Scientist with experience in prototyping, building, and scaling AI applications to join WTW’s Data Science team within our Consulting practice. In this role, you will help grow our AI and Data Science advisory capability, working alongside leading insurance market experts to design and deliver cutting-edge machine learning and generative AI solutions for the world’s top general insurers, reinsurers, and intermediaries.

About the Role

As a data scientist, you will operate at the intersection of advanced machine learning, generative AI, and insurance domain expertise. You will shape, prototype, and scale AI-driven solutions that mitigate risk, enhance decision-making, and unlock new business value for insurers.

Key Responsibilities

• Build AI solutions at scale – Design, prototype, and build applied AI solutions, including agentic workflows, to enhance consulting delivery and enable data-driven operations for clients.
• Develop generative AI applications – Apply techniques such as Retrieval-Augmented Generation (RAG), prompt engineering, and tool-augmented agents to convert unstructured data into structured, actionable insights.
• Own end-to-end AI development – Transition business challenges into functional AI prototypes, iterating rapidly under uncertainty while ensuring safety, reliability, and scalability.
• Identify automation opportunities – Drive workflow enhancements such as:
  • Natural language query interfaces for insurer datasets
  • AI-assisted exploratory analysis
  • Document AI (NLP, OCR auto-tagging, etc.)
  • Semi-automated report generation
• Ensure rigorous AI evaluation and safety – Implement practices including:
  • Prompt and few-shot testing
  • Hallucination detection & mitigation
  • Rule-based validation & deterministic checks
  • SME-validated edge-case testing
  • Human-in-the-loop feedback mechanisms
• Prototype under ambiguity – Quickly translate vague business requests into functional tools with minimal oversight and tight iteration cycles.
• ** Bridge domain expertise with AI** – Translate subject-matter insights into machine-readable logic, incorporating rules, checks, and reasoning constraints.
• Collaborate cross-functionally – Partner with consulting, product, and technology teams to scale successful AI experiments into reusable workflows and offerings.
• Assess AI maturity & roadmapping – Conduct best-in-class evaluations for clients to identify AI adoption gaps and design practical, high-impact roadmaps.
• Build predictive models & data products – Develop solutions across structured/unstructured data using ML, statistical modelling, and applied NLP techniques.
• Leverage client knowledge for innovation – Work across WTW teams to co-create AI-enhanced products, increasing the visibility and credibility of our advisory practice.
• Manage large, complex projects – Lead client engagement, ensure on-time delivery, and coordinate cross-practice collaboration on global initiatives.
• Build trusted client relationships – Foster long-term partnerships through transparent communication, technical credibility, and delivery excellence.
• Drive business development – Contribute to proposals, thought leadership, and intellectual capital, supporting future growth.
• Lead & mentor teams – Develop junior colleagues, monitor progress, and ensure high-quality, cost-efficient results.