Senior Actuarial Data Scientist – Predictive Analytics Lead

PEMCO; Saint Paul (MN); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

401(k) match

Health benefits

Paid time off

Flexible Spending Accounts

Employee Assistance Program

Volunteer time off

Scholarship program for PEMCO children

Job summary

PEMCO is seeking a Senior Data Scientist - Actuarial to advance predictive modeling for product development, rating, and reserving. You will build large-scale models, develop SQL tools, and collaborate with Product Team to drive data-driven decisions.

Ideal candidates have 6+ years in actuarial/statistical modeling, strong Python/R/SAS/SQL skills, and a degree in Actuarial Science, Mathematics, or Statistics.

Qualifications

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or related field is required.
• 6+ years of actuarial and statistical predictive modeling experience.
• Proficiency in Python, R, SAS and/or SQL.
• Advanced MS Office skills: Excel, Word, PowerPoint, Outlook.
• Strong quantitative modeling, data structures, and complex SQL skills.
• Excellent communication, organization, and presentation skills.

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.
• 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

Excel

Word

PowerPoint

Outlook

Education

Bachelor’s degree in Actuarial Science/Math/Statistics

Job description

PEMCO is seeking a Senior Data Scientist - Actuarial to advance predictive modeling for product development, rating, and reserving. You will build large-scale models, develop SQL tools, and collaborate with Product Team to drive data-driven decisions.

Ideal candidates have 6+ years in actuarial/statistical modeling, strong Python/R/SAS/SQL skills, and a degree in Actuarial Science, Mathematics, or Statistics.