In this role you will own end-to-end model delivery for hx Renew, building and validating production-grade models in Python. You’ll collaborate with actuarial teams and internal stakeholders to translate complex needs into robust solutions, while mentoring others and elevating our development standards. You’ll work in a high-trust, high-accountability environment on challenging insurance-focused problems that push technical and domain boundaries. This is a chance to shape state-of-the-art AI-driven underwriting and pricing at scale, alongside ambitious colleagues.
Pay / Benefits
5,000 training and conference budget
33 days holiday
Company pension scheme
Mental health support
Private healthcare insurance
Cycle to Work Scheme
Responsibilities
Own end-to-end model delivery from scoping to customer delivery for hx Renew
Build and maintain production-grade Python models with modern engineering practices
Collaborate with customer actuarial teams and internal stakeholders to solve complex modeling problems
Contribute to code quality through reviews, testing, and best-practice guidance
Mentor junior model developers through pairing and feedback
Drive improvements in model development standards, tooling, and processes
Support and participate in knowledge sharing and advancement of discipline within the team
Key requirements
Shipped and maintained production-grade Python code in complex or data-heavy environments
Applied predictive modelling or advanced analytics in real-world settings (insurance or reinsurance exposure a bonus)
Owned ambiguous problems and delivered high-quality outcomes
Translated non-technical requirements into robust technical solutions
Thrived in a high-trust, high-accountability environment and pursued personal development
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