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Data Science Actuary (PHD Graduates)

JR United Kingdom

Worcester

Remote

GBP 45,000 - 65,000

Full time

4 days ago
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Job summary

A leading Personal Lines Insurer seeks a Data Science Actuary to join their Technical Pricing team. The role involves advanced actuarial analysis for Home and Motor insurance using new technologies and latest data science techniques. This fully remote position offers an exciting opportunity for recent PhD graduates to enhance model sophistication and contribute strategically within the team.

Qualifications

  • PhD or Master's in a research-based field required.
  • Experience in actuarial pricing or statistical modeling is necessary.

Responsibilities

  • Building predictive and machine learning models.
  • Predicting claims severity and perils.
  • Producing reports 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), Worcester

Client: Arthur Recruitment

Location:

Worcester, 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 who is seeking an individual to join their Technical Pricing team. This team is responsible for specialized actuarial analyses of underwriting performance within 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 the latest 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
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