Data Scientist - Actuarial

PEMCO; Springfield (IL); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

401(k) match

Paid vacation and holidays

Floating holidays

Sick leave

Bereavement leave

Volunteer time off

Flexible Spending Accounts

Employee Assistance Program

Scholarship program for dependents

Job summary

PEMCO is seeking a Data Scientist - Actuarial to conduct actuarial and predictive analyses supporting product development, rating, reserving, and pricing strategies.

Responsibilities include developing models, collaborating with product and business units, documenting workflows, and aligning with PEMCO's values and ethics. The role may involve occasional travel to PEMCO's headquarters in Seattle.

Qualifications

• Requires S. degree or equivalent in Actuarial Science, Mathematics, Statistics or related field.
• 3+ years Actuarial or statistical predictive modeling experience.
• MS Office proficiency: Excel, Word, PowerPoint, Outlook.
• Proficiency with Python, R, SAS and/or SQL is required.
• Analytical, data-driven, able to translate data into actionable insights.

Responsibilities

• Provide analytical support for actuarial and product development.
• Conduct predictive modeling and multivariate analysis.
• Assist with development and implementation of rates, rating plans and pricing strategies.
• Collaborate with Product Team and other units to deliver business solutions.
• Document system workflows and business processes.
• Demonstrate PEMCO policies, values and ethics in all activities.
• Support PEMCO Brand and contribute to its mission to Worry Less and Live More.

Skills

Actuarial modeling

Data analysis

Python

R

SAS

SQL

Excel

Education

S. degree or equivalent in Actuarial Science/Math/Statistics

Tools

Excel

Word

PowerPoint

Outlook

Job description

Applicants must be a resident and work from one of the following states: WA, OR, OH, IL, MN, NC, SC, FL, AZ, TX or ID, with occasional travel to our headquarters, located in Seattle, WA.

At PEMCO, we’re all about people – our customers, our employees, and the community. We’re a mutual insurance company owned by our Northwest policyholders. We provide auto, home, renters, and boat coverage. Recognized by Forbes as one of America’s Best Insurance Companies in both Auto and Home for 2026, based on customer survey feedback, and by Newsweek as one of America’s Greatest Midsize Workplaces 2025. We are consistently recognized for our outstanding customer service, employee expertise, community partnerships, and social impact programs. Our social impact programs motivate high achievement by youth in education; build stronger and greener communities; and increase safety at home, on the road, and at play. We’re committed to diversity, equity, inclusion, and belonging, and to fostering an inspiring and inclusive workplace.

The Data Scientist - Actuarial position is responsible for conducting actuarial and predictive analysis to support product development, rating, reserving, process improvements and system changes for PEMCO.

Provide analytical support for actuarial and product development. Conduct predictive modeling and multivariate analysis. Assist with the development and implementation of rates, rating plans, pricing strategies and financial analysis. Collaborate with Product Team and other business units to provide business solutions. Document system workflows and business processes. Demonstrate behaviors consistent with PEMCO's policies, values, code of ethics and business conduct. Authentically support the PEMCO Brand and constantly are on the lookout for top talent to join us to achieve our Mission to Worry Less and Live More. S.

• S. degree or equivalent work experience (Actuarial Science, Mathematics, Statistics or related field) is required
• 3+ years of experience in actuarial and statistical predictive modeling is required
• MS Office: Skilled proficiency in Excel, Word, PowerPoint, Outlook is required
• Skilled proficiency with Python, R, SAS and/or SQL is required
• Analytical and data-driven: a structured thinker who can put complex ideas into clear frameworks; uses data to conduct root cause analysis and develops high quality, consumable, and consistent metrics that drive strategic objectives and priorities is required
• Highly Analytical: Is passionate about working with disparate datasets bringing data together to answer business questions. Collaborates to create, manage, and translate data to meaningful insights. Can work with external vendors to integrate data for analysis; knows how to build efficient and scalable infrastructure and data models is required
• Greater Seattle area target pay range: $Outside Greater Seattle area target pay range: $Regular part-time PEMCO employees working at least 24 hours per week and regular full-time PEMCO employees are eligible to elect coverage under medical, dental, and vision plans for themselves and their eligible family members with generous employer premium cost shares. covered by employer-paid basic life and accidental death & dismemberment insurance policies as well as long- and short-term disability benefit coverages.eligible to participate in PEMCO’s 401(k) plan, which includes a generous employer match (2 for 1 on the first 6% employee pre-tax and/or Roth deferral, up to federal maximums).Vacation and eight (8) paid holidays.Granted four (4) floating holidays and up to ten (10) days of sick leave immediately upon hire (pro-rated based on hire date and full-time/part-time status).In addition, PEMCO provides paid time off for bereavement, jury duty, and employee volunteering in the community.Scholarship program for children of PEMCO employees after one year of service; children’s birthday gift programFlexible Spending Accounts, Employee Assistance Program, and charitable gift matchingOther compensation depending on role, contributions, and performance may include:Discretionary bonuses.We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or veteran status.Requests are considered on a case by case basis in accordance with applicable disability laws, including the ADAAA.
• Family and Medical Leave Act (FMLA)