Actuarial Data Scientist: Predictive Modeling & Pricing

PEMCO; Idaho; Hybrid; USD 107,000 - 178,000; Full time

Benefits offered by this job

401(k) plan with employer match

Paid time off and holidays

Education assistance programs

Job summary

PEMCO is seeking a Data Scientist - Actuarial to conduct actuarial and predictive analyses supporting product development, rating, reserving, and process improvements. The role requires strong skills in Python, R, SAS, SQL and experience in property and casualty insurance, with a track record of data-driven decision making.

Occasional travel to Seattle HQ is expected. The candidate will build analytical tools, collaborate with product teams, and document workflows to drive strategic insights and

Qualifications

• B.A. or B.S. degree in Actuarial Science, Mathematics, Statistics or related field.
• 3+ years of experience in actuarial and statistical predictive modeling is required.
• 1+ years of experience in the property and casualty insurance industry is required.
• MS Office: Skilled proficiency in Excel, Word, PowerPoint, Outlook is required.
• Job specific: Skilled proficiency with Python, R, SAS and/or SQL is required.
• Job specific: Experience with Radar, Emblem, or ResQ is advantageous.
• Precision: Detail oriented with a strong desire for accuracy and thoroughness.
• Analytical and data-driven: Able to translate data into actionable insights.

Responsibilities

• Provide analytical support for actuarial and product development.
• Conduct predictive modeling and multivariate analysis.
• Assist with the development and implementation of rates, rating plans and pricing strategies.
• Collaborate with Product Team and other units to provide business solutions.
• Document system workflows and business processes.
• Build tools and processes to create efficiencies.

Skills

Python

R

SAS

SQL

Excel

Education

B.A. or B.S. degree in Actuarial Science, Mathematics, Statistics or related field

Tools

Radar

Emblem

ResQ

Job description

PEMCO is seeking a Data Scientist - Actuarial to conduct actuarial and predictive analyses supporting product development, rating, reserving, and process improvements. The role requires strong skills in Python, R, SAS, SQL and experience in property and casualty insurance, with a track record of data-driven decision making.

Occasional travel to Seattle HQ is expected. The candidate will build analytical tools, collaborate with product teams, and document workflows to drive strategic insights and