Delivery Engineer (Python) for AI Insurance Platform

hyperexponential

Greater London

Hybrid

GBP 70.000 - 110.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Training budget
33 days holiday
Private healthcare
Pension plan
Mental health support
Wellbeing allowance
Cycle to work
Hackathons & socials

Zusammenfassung

hyperexponential (hx) is building an AI-powered platform for insurance pricing and underwriting, enabling rapid, data-driven decisions across a multi-product global platform. Join a Delivery Engineering team of engineers, actuaries, mathematicians and data scientists tackling challenging, real-world problems with technical depth and market expertise.

You will develop production-grade Python models, work directly with customer actuarial teams, and continually improve modeling standards and

Qualifikationen

  • Proven Python production-grade experience.
  • Applied predictive modelling or advanced analytics methods.
  • Self-starter, autonomous with high accountability.
  • Experience experimenting with new approaches/techniques.

Aufgaben

  • Learn the hx modelling platform and ship models quickly.
  • Build/maintain models in Python for integration.
  • Collaborate with actuarial teams, partner developers and internal colleagues.
  • Contribute to best-practice guidance for Python model building.
  • Review and test models as part of QA processes.
  • Support development of training materials and docs.
  • continuously improve model development standards.

Kenntnisse

Python
Predictive modelling
Advanced analytics
Autonomous working

Jobbeschreibung

hyperexponential (hx) is building an AI-powered platform for insurance pricing and underwriting, enabling rapid, data-driven decisions across a multi-product global platform. Join a Delivery Engineering team of engineers, actuaries, mathematicians and data scientists tackling challenging, real-world problems with technical depth and market expertise.

You will develop production-grade Python models, work directly with customer actuarial teams, and continually improve modeling standards and

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