A leading insurer are seeking an Actuarial Data Scientist to join their analytics team. The role supports the businesses growing US presence on how to best use their existing Actuarial Models, providing deep dive analytics to support.

In addition, this role will:

1. Lead and deliver actuarial modeling projects across pricing and risk analysis.
2. Build and refine predictive models using GLMs, GAMs, and machine-learning methods.
3. Provide technical training, documentation, and modeling best-practice guidance.

Qualifications:

1. 5-10 years of experience in a P&C insurer.
2. Strong predictive modeling background across GLMs, GAMs, and broader ML techniques.
3. Ability to clearly explain complex concepts to varied audiences.
4. ACAS/FCAS heavily preferred.
5. Ability to travel periodically and authorized to work remotely in the U.S.

If you are interested in applying, please reach out to David.miles@systemsaccountants.com