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Data Science Actuary (PHD Graduates)

JR United Kingdom

Doncaster

Remote

GBP 40,000 - 70,000

Full time

Yesterday
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Job summary

A leading Personal Lines Insurer is looking for a Data Science Actuary to join their Technical Pricing team. This role focuses on advanced actuarial analyses, provides the opportunity to employ cutting-edge data science techniques, and can be performed fully remotely. Ideal candidates will have relevant postgraduate degrees and experience in statistical modelling, contributing to enhanced model sophistication and strategic business changes.

Qualifications

  • PhD or Masters in a relevant research-based field.
  • Experience in actuarial pricing or statistical modelling.

Responsibilities

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

Skills

Statistical modelling
Machine learning
Predictive analytics

Education

PhD in a research-based subject
Masters in a research-based subject

Job description

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Data Science Actuary (PHD Graduates), doncaster

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Client:

Arthur Recruitment

Location:

doncaster, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

13

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

I am working with a leading Personal Lines Insurer who are seeking an individual to join their Technical Pricing team. This team is responsible for specialist actuarial analyses of U/W performance within different products such as Home/Motor.

This role offers the opportunity to use new technologies and be involved in delivering strategic change such as improving the sophistication of models and deploying the latest data science techniques.

This vacancy can be fully remote.

Responsibilities:

  • Building predictive/machine learning models
  • Predict perils for claims/severity
  • Producing reports and presentations to communicate the results of actuarial analyses to key stakeholders

Requirements:

  • PhD/Masters in a research based subject
  • Experience of actuarial pricing or statistical modelling
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