Senior Data Scientist – Actuarial Analytics (Hybrid)

PEMCO; Beaverton (OR); On-site; USD 129,000 - 215,000; Full time

Benefits offered by this job

Health insurance

401(k) plan with employer match

Paid time off

Eight holidays

Floating holidays

Sick leave

Education assistance

Job summary

PEMCO, a mutual insurance company headquartered in Seattle, seeks a Senior Data Scientist - Actuarial to lead complex actuarial analyses and predictive modeling for product development, rating, and pricing strategies. You will work with product managers and actuaries to drive data-informed decisions and create scalable data tools.

The role requires 6+ years in actuarial modeling and proficiency in Python, R, SAS and SQL, with strong communication and mentoring skills.

Qualifications

• Bachelor's degree in Actuarial Science, Mathematics, Statistics or related field.
• 6+ years of actuarial and predictive modeling experience.
• 3+ years of experience in the property and casualty insurance industry.
• Proficiency in Python, R, SAS and/or SQL.
• Must demonstrate high level of skill in quantitative modeling and data structures.
• Strong written and verbal communication; able to translate data into actionable insights.

Responsibilities

• Develop large-scale predictive modeling and multivariate analyses.
• Create queries and tools for rates, rating plans and pricing strategies.
• Collaborate with Product Team and actuaries on strategic decisions.
• Document system workflows and business processes; build scalable data models.
• Mentor less experienced team members and share best practices.
• Communicate results clearly to technical and non-technical stakeholders.

Skills

Actuarial modeling

Python

R

SAS

SQL

Analytical thinking

Communication skills

Mentoring

Education

Bachelor's degree in Actuarial Science/Math/Stats

Graduate degree preferred

Tools

Radar

Emblem

ResQ

Excel

SQL database tooling

Job description

PEMCO, a mutual insurance company headquartered in Seattle, seeks a Senior Data Scientist - Actuarial to lead complex actuarial analyses and predictive modeling for product development, rating, and pricing strategies. You will work with product managers and actuaries to drive data-informed decisions and create scalable data tools.

The role requires 6+ years in actuarial modeling and proficiency in Python, R, SAS and SQL, with strong communication and mentoring skills.