Senior Data Scientist - Actuarial Analytics

PEMCO; Texas; Hybrid; USD 130,000 - 170,000; Full time

Benefits offered by this job

401(k) plan with match

Vacation and eight paid holidays

Floating holidays and sick leave

Bereavement, jury duty, volunteering

Scholarship program for children

Flexible Spending Accounts

Employee Assistance Program

Charitable gift matching

Discretionary bonuses

Job summary

PEMCO is seeking a Senior Data Scientist - Actuarial to conduct complex actuarial and predictive analysis for product development, rating, reserving, and process improvements. The role involves building large-scale models, creating pricing tools, and partnering with Product and other teams to deliver business solutions.

The ideal candidate has 6+ years in actuarial/predictive modeling, strong SQL/Python/R/SAS skills, and excellent communication and organizational abilities.

Qualifications

• S. degree or equivalent work experience in actuarial science, mathematics, statistics or related field is required.
• Graduate or other professional degree preferred.
• 6+ years of experience in actuarial and statistical predictive modeling is required.

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 pricing, rating plans, and financial analysis.
• Collaborate with Product Team and other units to provide business solutions.
• Develop and document system workflows and business processes.
• Mentor less experienced members and share best practices.
• Support PEMCO brand and uphold values.

Skills

Python

R

SAS

SQL

Excel

Data visualization

Communication

Time management

Education

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

Graduate or professional degree preferred

Tools

MS Office

Job description

PEMCO is seeking a Senior Data Scientist - Actuarial to conduct complex actuarial and predictive analysis for product development, rating, reserving, and process improvements. The role involves building large-scale models, creating pricing tools, and partnering with Product and other teams to deliver business solutions.

The ideal candidate has 6+ years in actuarial/predictive modeling, strong SQL/Python/R/SAS skills, and excellent communication and organizational abilities.