Senior Data Scientist - Actuarial Analytics Product Insight

PEMCO; Austin (TX); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

401(k) match

Paid time off

Health insurance

Disability coverage

Scholarship program

Job summary

PEMCO is seeking a Senior Data Scientist - Actuarial to perform complex actuarial and predictive analyses supporting product development, rating, and reserving. You will create large-scale models, develop pricing strategies, and collaborate with multiple teams to drive business solutions.

Ideal candidates have 6+ years in actuarial modeling, strong SQL and Python/R skills, and a passion for rigorous data analysis.

Qualifications

• BS or equivalent in Actuarial Science, Mathematics, Statistics, or related field is required.
• Graduate or other professional degree is preferred.
• 6+ years of actuarial and statistical predictive modeling experience required.
• MS Office proficiency (Excel, Word, PowerPoint, Outlook) required.
• Proficiency in Python, R, SAS and/or SQL.
• Strong quantitative modeling, data structures, and complex SQL queries skills.

Responsibilities

• Conduct complex actuarial and predictive analyses to support product development, rating, reserving, and process improvements.
• Develop large-scale predictive models and multivariate analyses.
• Create queries and tools to support rates, pricing strategies, and financial analyses.
• Collaborate with Product Team and other units to implement business solutions.
• Mentor less experienced team members and share best practices.
• Uphold PEMCO's policies, values, and ethics while supporting brand initiatives.

Skills

Actuarial modeling

Data analysis

Communication

Organizational skills

Data visualization

Education

BS in Actuarial Science / Mathematics / Statistics

Graduate or professional degree preferred

Tools

Python

R

SAS

SQL

Job description

PEMCO is seeking a Senior Data Scientist - Actuarial to perform complex actuarial and predictive analyses supporting product development, rating, and reserving. You will create large-scale models, develop pricing strategies, and collaborate with multiple teams to drive business solutions.

Ideal candidates have 6+ years in actuarial modeling, strong SQL and Python/R skills, and a passion for rigorous data analysis.