Actuarial Data Scientist: Predictive Modeling

PEMCO; Texas; On-site; USD 107,000 - 178,000; Full time

Benefits offered by this job

401(k) plan with employer match

Paid time off and holidays

Excellent health/dental benefits

Job summary

PEMCO, a mutual insurance company based in Seattle, seeks a Data Scientist - Actuarial to conduct actuarial and predictive analyses supporting product development, rating, reserving, and process improvements.

You will provide analytical support, perform predictive modeling, assist with rate development and pricing strategies, and collaborate with product teams to deliver business solutions. Strong SQL/Python/R/SAS skills and Excel proficiency are required.

Qualifications

• BA/BS in a quantitative field or equivalent work experience.
• 3+ years in actuarial and statistical predictive modeling.
• 1+ years in property and casualty insurance.
• Proficiency in MS Office (Excel, Word, PowerPoint, Outlook).
• Experience with Python, R, SAS and/or SQL is required.

Responsibilities

• Provide analytical support for actuarial and product development.
• Conduct predictive modeling and multivariate analysis.
• Assist with development and implementation of rates and pricing strategies.
• Collaborate with product managers and actuaries on strategic decisions.
• Document workflows and build tools to create efficiencies.

Skills

Python

R

SAS

SQL

Excel

Education

Actuarial Science, Mathematics, Statistics or related field

Tools

Radar

Emblem

ResQ

Job description

PEMCO, a mutual insurance company based in Seattle, seeks a Data Scientist - Actuarial to conduct actuarial and predictive analyses supporting product development, rating, reserving, and process improvements.

You will provide analytical support, perform predictive modeling, assist with rate development and pricing strategies, and collaborate with product teams to deliver business solutions. Strong SQL/Python/R/SAS skills and Excel proficiency are required.