Data Scientist, Actuarial Analytics (Predictive Modeling)

PEMCO; Austin (TX); On-site; USD 113,000 - 138,000; Full time

Benefits offered by this job

401(k) match

Paid time off

Education assistance

Life and disability insurance

Job summary

PEMCO is seeking a Data Scientist - Actuarial to conduct actuarial and predictive analyses to support product development, rating, reserving and system changes. You will build models, develop rates and pricing strategies, and collaborate with product teams to drive strategic decisions while ensuring compliance and accuracy.

The role requires 3+ years in actuarial modeling and 1+ year in property and casualty insurance, with strong Python/R/SAS/SQL skills and advanced Excel proficiency.

Qualifications

• Actuarial and statistical predictive modeling experience (3+ years).
• Property and casualty insurance experience (1+ year).
• Proficiency with Excel; strong data analysis and modeling skills.

Responsibilities

• Provide analytical support for actuarial and product development.
• Conduct predictive modeling and multivariate analyses.
• Assist with rates, rating plans, pricing strategies and financial analysis.
• Collaborate with Product Team to translate data into insights and drive decisions.

Skills

Analytical thinking

Detail oriented

Communication skills

Education

Bachelor's degree in Actuarial Science, Mathematics, or Statistics

Tools

Python

R

SAS

SQL

Radar

Emblem

ResQ

Job description

PEMCO is seeking a Data Scientist - Actuarial to conduct actuarial and predictive analyses to support product development, rating, reserving and system changes. You will build models, develop rates and pricing strategies, and collaborate with product teams to drive strategic decisions while ensuring compliance and accuracy.

The role requires 3+ years in actuarial modeling and 1+ year in property and casualty insurance, with strong Python/R/SAS/SQL skills and advanced Excel proficiency.