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testing python ai ml actuarial📋 Description
- Design and maintain evaluation frameworks for AI agents across insurance scenarios.
- Conduct tech assessments of AI capabilities to inform roadmaps.
- Run structured experiments turning questions into testable hypotheses with rigour.
- Build test suites for actuarial edge cases, underwriting, and pricing.
- Translate findings into engineering actions and shipped capabilities.
- Maintain domain fluency in insurance topics and pricing methods.
🎯 Requirements
- Applied AI/ML problems; structured thinking, tested hypotheses, and messy data.
- Exposure to evaluating AI/ML systems; writing tests and tracking metrics.
- Experience with production AI systems; understand gaps to production.
- Communicate findings to non-technical audiences.
- Proficient in Python across the AI/ML stack.
- Cross-functional collaboration turning research into product decisions.
🎁 Benefits
- £5,000 training and conference budget for development.
- 25 days of holiday plus 8 bank holidays (33 days total).
- Company pension scheme via Penfold.
- Mental health support and therapy via Spectrum.life.
- Individual wellbeing allowance via Juno.
- Private healthcare insurance through AXA.
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