Actuarial Data Scientist – Predictive Analytics

PEMCO; Minnesota; Hybrid; USD 115,000 - 160,000; Full time

Benefits offered by this job

401(k) match

Vacation & holidays

Floating holidays & sick leave

Bereavement & jury duty leave

Volunteer time off

Job summary

PEMCO Data Scientist - Actuarial position focuses on actuarial and predictive analytics to support product development, rating, reserving, and system improvements. You will conduct multivariate analyses and collaborate with the Product Team to develop pricing strategies and financial analyses.

The role requires a degree in actuarial science or related field, about 3+ years of actuarial modeling experience, and strong skills in Excel and at least one of Python/R/SAS/SQL.

Qualifications

• Bachelor's degree in Actuarial Science, Mathematics, Statistics or related field.
• Approximately 3+ years of actuarial and statistical predictive modeling experience.
• Proficient in Excel, Word, PowerPoint, Outlook.
• Proficient with Python, R, SAS and/or SQL.
• Analytical and data-driven with structured thinking and metric-driven communication.
• Ability to collaborate with Product Team and other business units.

Responsibilities

• Provide analytical support for actuarial and product development.
• Conduct predictive modeling and multivariate analysis.
• Assist with development and implementation of rates and pricing strategies.
• Collaborate with Product Team and other units to deliver solutions.
• Document system workflows and business processes.
• Demonstrate PEMCO's policies, values and ethics in practice.
• Support PEMCO's mission to Worry Less and Live More by identifying talent opportunities.

Skills

Analytical thinking

Actuarial analysis

Data-driven

Education

Bachelor's degree in Actuarial Science, Mathematics, Statistics or related field

Tools

Python

R

SAS

SQL

Excel

Word

PowerPoint

Outlook

Job description

PEMCO Data Scientist - Actuarial position focuses on actuarial and predictive analytics to support product development, rating, reserving, and system improvements. You will conduct multivariate analyses and collaborate with the Product Team to develop pricing strategies and financial analyses.

The role requires a degree in actuarial science or related field, about 3+ years of actuarial modeling experience, and strong skills in Excel and at least one of Python/R/SAS/SQL.