Senior Data Scientist, Actuarial Analytics

PEMCO; Salem (OR); On-site; USD 155,000 - 189,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) with match

Paid time off and holidays

Education assistance and scholarships

Job summary

PEMCO is seeking a Senior Data Scientist - Actuarial to conduct complex actuarial and predictive analyses for product development, rating, reserving, and system changes. The role involves building large-scale models and collaborating with product managers and actuaries to support pricing strategies and financial analyses.

The position requires a strong background in actuarial science or related fields, 6+ years of modeling experience, and proficiency in Python, R, SAS, and SQL.

Qualifications

• Bachelor's or higher in Actuarial Science, Mathematics, Statistics, or related field.
• Graduate degree or professional equivalent preferred.
• 6+ years of actuarial and predictive modeling experience.
• 3+ years in the property and casualty insurance industry.
• Proficiency in Python, R, SAS and/or SQL.
• Strong SQL skills and data structures knowledge; ability to write complex queries.
• Detail-oriented with data-driven, analytical mindset.

Responsibilities

• Develop large-scale predictive models and multivariate analyses for pricing and product development.
• Create queries and tools to support rates, rating plans, and pricing strategies.
• Collaborate with Product team and actuaries to drive strategic decisions.
• Document workflows and processes; mentor junior staff.
• Ensure compliance with relevant laws and regulations.

Job description

PEMCO is seeking a Senior Data Scientist - Actuarial to conduct complex actuarial and predictive analyses for product development, rating, reserving, and system changes. The role involves building large-scale models and collaborating with product managers and actuaries to support pricing strategies and financial analyses.

The position requires a strong background in actuarial science or related fields, 6+ years of modeling experience, and proficiency in Python, R, SAS, and SQL.