Data Science Actuary (PHD Graduates)

JR United Kingdom; Nottingham; Remote; GBP 40,000 - 60,000; Full time

Job summary

A prominent Personal Lines Insurer in Nottingham is seeking a Data Science Actuary. This role involves utilizing data science techniques for strategic changes in their Technical Pricing team. The successful candidate will build predictive models, analyze claims, and communicate findings effectively. This position offers the flexibility of fully remote work.

Qualifications

• PhD or Masters in a research-based subject required.
• Experience with actuarial pricing or statistical modelling preferred.

Responsibilities

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

Skills

Predictive modelling

Machine learning

Statistical analysis

Education

PhD or Masters in a research-based subject

Job description

Social network you want to login/join with:

Data Science Actuary (PHD Graduates), nottingham

col-narrow-left

Client:

Arthur Recruitment

Location:

nottingham, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

13

Posted:

06.06.2025

Expiry Date:

21.07.2025

col-wide

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