Delivery Engineer
Own end-to-end delivery of production-grade Python models, partnering with customer actuarial teams to solve complex modeling problems. The role requires practical predictive modeling experience, strong stakeholder communication, and comfort with ambiguity.
About the job
Responsibilities
- Own end-to-end model delivery on the platform, from scoping and build through testing, iteration, and customer delivery.
- Build and maintain production-grade Python models using modern engineering and modelling practices.
- Work directly with customer actuarial teams and internal stakeholders to solve complex, ambiguous modelling and coding problems.
- Improve team quality through code review, testing, and best-practice model development guidance.
- Mentor junior model developers through pairing, feedback, and delivery support.
- Improve model development standards, tooling, and ways of working.
Requirements
- Experience shipping and maintaining production-grade Python code in complex or data-heavy environments.
- Experience applying predictive modelling or advanced analytics in real-world settings.
- Ability to take ownership of ambiguous problems, create structure, and drive high-quality outcomes.
- Experience working directly with non-technical stakeholders or customers and translating requirements into robust technical solutions.
- Ability to work effectively in a high-trust, high-accountability environment.
Nice to Have
- Insurance or reinsurance experience.
Compensation and Benefits
- Equity offered across all roles.
- £5,000 training and conference budget.
- 25 days of holiday plus 8 bank holidays.
- Company pension scheme.
- Mental health support and therapy.
- Wellbeing allowance.
- Private healthcare insurance.
- Income protection and life insurance.
- Cycle to Work Scheme.
- Top-spec equipment and opportunities for professional development.
Skills
Python, Predictive Modeling, Advanced Analytics, Data Modeling, Code Review, Software Testing, Model Development, Data Science
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