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Data Science Actuary (PHD Graduates)

JR United Kingdom

Wolverhampton

Remote

GBP 45,000 - 55,000

Full time

6 days ago
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Job summary

A leading Personal Lines Insurer is seeking a Data Science Actuary to join their Technical Pricing team in Wolverhampton. This role involves using advanced technologies and data science to enhance underwriting performance and model sophistication. Ideal candidates will have a PhD or Master's degree, alongside experience in actuarial pricing and statistical modeling. The position offers flexibility through fully remote work options.

Qualifications

  • PhD or Master's degree in relevant research area.
  • Experience in actuarial pricing or statistical modeling.

Responsibilities

  • Building predictive and machine learning models.
  • Producing reports and presentations for stakeholders.
  • Predicting claims perils and severity.

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), Wolverhampton

Client:

Arthur Recruitment

Location:

Wolverhampton, UK

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 specialist 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 cutting-edge 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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