Data Science Actuary (PHD Graduates)

JR United Kingdom; Bristol; Remote; GBP 45,000 - 65,000; Full time

Job summary

A leading Personal Lines Insurer is seeking a Data Science Actuary to join their Technical Pricing team in Bristol. The role involves building advanced predictive models and utilizing data science techniques for actuarial analyses. This is a fully remote position, ideal for PhD graduates looking to apply their expertise in a dynamic environment.

Qualifications

• PhD or Master’s degree required, ideally in a research-based subject.
• Experience in actuarial pricing or statistical modeling is essential.

Responsibilities

• Build predictive and machine learning models for underwriting performance.
• Predict claims severity and perils.
• Produce reports and presentations for stakeholders.

Skills

Predictive modeling

Machine learning

Statistical analysis

Education

PhD or Master’s degree in a research-based subject

Job description

Social network you want to login/join with:

Data Science Actuary (PhD Graduates), Bristol

Client:

Arthur Recruitment

Location:

Bristol, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

5

Posted:

31.05.2025

Expiry Date:

15.07.2025

Job Description:

I am working with a leading Personal Lines Insurer seeking an individual to join their Technical Pricing team. This team conducts specialized actuarial analyses of underwriting performance across products such as Home and Motor insurance.

This role offers the opportunity to utilize new technologies and contribute to strategic initiatives, including enhancing model sophistication and deploying advanced data science techniques.

This vacancy can be fully remote.

Responsibilities:

• Building predictive and machine learning models
• Predicting perils for claims and severity
• Producing reports and presentations to communicate actuarial analysis results to stakeholders

Requirements:

• PhD or Master’s degree in a research-based subject
• Experience in actuarial pricing or statistical modeling