Your Tasks
- Your job is to make AI use cases work where it matters: in the day-to-day reality of complex industrial risk
- You are part of a cross functional delivery team with responsibility for AI use cases in mainly Industrial Underwriting and Claims across their full lifecycle: from initial discovery and hypothesis work through experiment design, measurement and operational adoption
- You define ‘golden truth’ datasets, validate AI outputs against real underwriting and claims decisions, and ensure the business perspective is reflected in every model iteration
- You understand and take responsibility for Prompts and RAG specifications for GenAI agents in UW and claims processes. You design, test and iterate them independently
- You translate business rules, edge cases and compliance requirements (regulatory, legal, internal, including the EU AI Act) into structured, sprint-ready specifications for the AI delivery team and support the AI Use case lead in the backlog-management and prioritisation
- Business-layer UAT is in your hands: you challenge model outputs against operational reality, run lateral validation loops with domain experts and document failures with clear business impact
- You track and drive AI adoption by running impact dashboards and building change materials that help underwriters and claims handlers to actually use the new tools
- In technical workshops you represent the UW and Claims business perspective and work directly with Data Scientists and the engineering team to shape solutions
Your Profile
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Flexible working hours |
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Health management |
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Mobile working |
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Further training |
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