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Data Science Actuary (PHD Graduates)

JR United Kingdom

Cambridge

Remote

GBP 50,000 - 70,000

Full time

5 days ago
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Job summary

A prominent Personal Lines Insurer in Cambridge is looking for a Data Science Actuary to join their Technical Pricing team. This role focuses on improving actuarial analyses through advanced modelling and the latest data science techniques. Candidates with a PhD or Masters in a relevant field will find this position offers the chance to engage in strategic change and apply machine learning in real-world scenarios.

Qualifications

  • Strong background in actuarial pricing or statistical modelling.
  • Ability to communicate results to stakeholders.
  • Experience with data science techniques is beneficial.

Responsibilities

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

Skills

Statistical modelling
Predictive modelling
Machine learning

Education

PhD/Masters in a research-based subject

Job description

Social network you want to login/join with:

Data Science Actuary (PHD Graduates), cambridge

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Client:

Arthur Recruitment

Location:
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
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