Actuarial Data Scientist: Predictive Modeling & Pricing

PEMCO; North Carolina; On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

401(k) plan with employer match

Paid time off

Vacation and holidays

Floating holidays

Bereavement leave

Job summary

PEMCO is seeking a Data Scientist - Actuarial to drive actuarial and predictive analytics that support product development, rating, reserving, and process improvements. You will model complex data, build scalable data models, and translate findings into actionable business insights for PEMCO’s product team.

The role requires a strong actuarial or statistical background, 3+ years of modeling experience, and proficiency with Python, R, SAS, SQL, and MS Office.

Qualifications

• Bachelor’s degree in Actuarial Science or related field.
• Approximately 3+ years of actuarial and statistical predictive modeling experience.
• Proficient with Excel, Word, PowerPoint, Outlook.
• Proficient in Python, R, SAS and/or SQL.

Responsibilities

• Provide analytical support for actuarial and product development.
• Conduct predictive modeling and multivariate analysis.
• Assist with 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.

Skills

Actuarial analysis

Predictive modeling

Data analysis

Structured thinking

Communication of insights

Education

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

Tools

Python

R

SAS

SQL

MS Office

Job description

PEMCO is seeking a Data Scientist - Actuarial to drive actuarial and predictive analytics that support product development, rating, reserving, and process improvements. You will model complex data, build scalable data models, and translate findings into actionable business insights for PEMCO’s product team.

The role requires a strong actuarial or statistical background, 3+ years of modeling experience, and proficiency with Python, R, SAS, SQL, and MS Office.