Senior Data Scientist, Actuarial Analytics & Pricing

PEMCO; North Carolina; On-site; USD 137,000 - 167,000; Full time

Benefits offered by this job

401(k) match

Paid time off

Bonuses

Job summary

PEMCO in the Seattle area is seeking a Senior Data Scientist - Actuarial to conduct complex actuarial and predictive analyses for product development, rating, reserving, and system enhancements. You will build large-scale models and create SQL tools to support pricing and financial analysis.

Work closely with product teams and actuaries, mentor colleagues, and promote best practices. A strong background in actuarial science, statistics, and data modeling is required, along with proficiency in

Qualifications

• Bachelor's degree in Actuarial Science, Mathematics, Statistics or related field required.
• Graduate degree preferred, professional actuarial credentials a plus.
• 6+ years of actuarial and statistical predictive modeling experience required.
• 3+ years in the property and casualty insurance industry required.
• Proficiency in Excel and MS Office; strong SQL, Python, R and SAS skills.

Responsibilities

• Independently perform complex actuarial and product development analyses.
• Develop large-scale predictive models and multivariate analyses.
• Create queries and tools for rates, pricing strategies, and financial analysis.
• Collaborate with product managers and actuaries to drive strategic decisions.
• Mentor junior staff and promote best practices in modeling and data workflows.
• Document system workflows and data processes; ensure accuracy and compliance.

Skills

Actuarial modeling

Predictive analytics

SQL

Python

R

SAS

Communication

Data structuring

Problem solving

Education

Actuarial Science / Mathematics / Statistics degree

Graduate degree preferred

Tools

Radar

Emblem

ResQ

Excel

SQL

Job description

PEMCO in the Seattle area is seeking a Senior Data Scientist - Actuarial to conduct complex actuarial and predictive analyses for product development, rating, reserving, and system enhancements. You will build large-scale models and create SQL tools to support pricing and financial analysis.

Work closely with product teams and actuaries, mentor colleagues, and promote best practices. A strong background in actuarial science, statistics, and data modeling is required, along with proficiency in