Actuarial Data Scientist: Predictive Modeling & Pricing

PEMCO; Clifton (TX); On-site; USD 107,000 - 178,000; Full time

Benefits offered by this job

Education Assistance Program after one

Scholarship program for PEMCO children

Flexible Spending Accounts

Employee Assistance Program

Charitable gift matching

Job summary

PEMCO is seeking a Data Scientist - Actuarial to perform actuarial and predictive analysis supporting product development, rating, reserving, and process improvements.

Role involves building models in Python/R/SAS/SQL, collaborating with product and actuarial teams, and contributing to pricing strategies and financial analyses. Requires 3+ years in actuarial modeling and 1+ year in P&C insurance; Seattle area compensation details apply.

Qualifications

• BA/BS in Actuarial Science, Mathematics, Statistics or related field is required
• 3+ years of actuarial and statistical predictive modeling experience
• 1+ years in the property and casualty insurance industry
• MS Office: Excel, Word, PowerPoint, Outlook proficiency
• Proficiency with Python, R, SAS and/or SQL is required
• Experience with Radar, Emblem, or ResQ is advantageous
• Detail-oriented with strong accuracy and thoroughness
• Analytical, data-driven with ability to translate data into insights

Responsibilities

• Provide analytical support for actuarial and product development.
• Conduct predictive modeling and multivariate analysis.
• Assist with development and implementation of rates, rating plans, pricing strategies, and financial analysis.
• Collaborate with Product Team and actuaries on strategic decisions.
• Document system workflows and business processes.
• Build tools and processes to create efficiencies.
• Demonstrate PEMCO values and ethics in daily work.
• Support PEMCO brand and talent acquisition efforts.

Skills

Python

R

SAS

SQL

Radar

Emblem

ResQ

Excel

PowerPoint

Education

Actuarial Science

Mathematics

Statistics

Tools

Radar

Emblem

ResQ

Job description

PEMCO is seeking a Data Scientist - Actuarial to perform actuarial and predictive analysis supporting product development, rating, reserving, and process improvements.

Role involves building models in Python/R/SAS/SQL, collaborating with product and actuarial teams, and contributing to pricing strategies and financial analyses. Requires 3+ years in actuarial modeling and 1+ year in P&C insurance; Seattle area compensation details apply.