Senior Data Scientist - Actuarial Analytics & Modeling

PEMCO; Columbus (OH); On-site; USD 129,000 - 215,000; Full time

Job summary

PEMCO, a mutual insurance company, seeks a Senior Data Scientist - Actuarial to conduct advanced actuarial and predictive analyses for product development, rating, and reserving. You will build large-scale models, create pricing tools, and collaborate with actuaries and product teams to drive strategic decisions.

The role demands 6+ years in actuarial modeling and 3+ years in P&C insurance, with Python/R/SAS/SQL proficiency and strong data/SQL skills.

Qualifications

• 6+ years of experience in actuarial and statistical predictive modeling.
• 3+ years of experience in the property and casualty insurance industry.
• Proficiency in Python, R, SAS and/or SQL.

Responsibilities

• Independently perform complex analytical support for actuarial and product development.
• Develop large-scale predictive modeling and multivariate analysis.
• Create queries and tools to assist the development and implementation of rates, rating plans, pricing strategies and financial analysis.
• Participate with product managers and actuaries in making strategic decisions.
• Collaborate with Product Team and other business units to provide business solutions.
• Develop and document system workflows and business processes.
• Pioneer best practice in building tools and processes to create efficiencies.
• Mentor less experienced members, helping them improve and sharpen their skills by sharing best practices.

Skills

Python

R

SAS

SQL

Education

Actuarial Science / Mathematics / Statistics or related field

Tools

Radar

Emblem

ResQ

Job description

PEMCO, a mutual insurance company, seeks a Senior Data Scientist - Actuarial to conduct advanced actuarial and predictive analyses for product development, rating, and reserving. You will build large-scale models, create pricing tools, and collaborate with actuaries and product teams to drive strategic decisions.

The role demands 6+ years in actuarial modeling and 3+ years in P&C insurance, with Python/R/SAS/SQL proficiency and strong data/SQL skills.