Data Science Actuary (PHD Graduates)

JR United Kingdom; Crawley; Remote; GBP 50,000 - 75,000; Full time

Job summary

A leading Personal Lines Insurer seeks a Data Science Actuary to join their Technical Pricing team in Crawley, offering a remote opportunity. The role involves using cutting-edge technology for actuarial analysis and model development, requiring a PhD/Masters in relevant fields and experience in statistical modeling. You'll engage in building predictive models and reporting findings to stakeholders.

Qualifications

• Strong understanding of actuarial pricing techniques is preferred.
• Experience in handling statistical models.
• Ability to communicate technical results to non-technical stakeholders.

Responsibilities

• Build predictive/machine learning models for actuarial analyses.
• Predict perils related to insurance claims and severity.
• Produce detailed reports for key stakeholders.

Skills

Statistical modelling

Predictive modeling

Machine learning

Education

PhD/Masters in a research-based subject

Job description

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Data Science Actuary (PHD Graduates), crawley, west sussex

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Client:

Arthur Recruitment

Location:

crawley, west sussex, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

4

Posted:

31.05.2025

Expiry Date:

15.07.2025

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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