Actuarial Data Scientist

Description:

Data Revolution, a global leader in specialty insurance and warranty solutions, is seeking an Actuarial Data Scientist to join their data team. This role blends actuarial science with advanced analytics, supporting digital transformation and machine learning initiatives to innovate insurance processes.

Key Responsibilities:

• Review and automate actuarial processes using Python, SQL, and Excel.

• Develop robust Python data pipelines for cleaning, validating, and modeling data.

• Build Streamlit dashboards for actuaries and business stakeholders.

• Ensure accuracy and actuarial soundness in all analyses.

• Mentor actuaries on programming and data science tools.

• Collaborate with cross-functional teams including actuaries, product managers, and stakeholders to implement scalable solutions.

• Conduct quality assurance, testing, and troubleshooting of data tools.

Requirements:

• 2–5 years of experience in data science or actuarial analysis.

• Minimum 1 year of insurance industry experience.

• Proficiency in Python (or transferable R skills).

• Strong communication skills to explain technical concepts to technical and non-technical audiences.

Nice-to-Have:

• Progress on actuarial exams (CAS Exam 5 preferred).

• Machine learning experience in insurance.

• Databricks experience.

Benefits:

• Base salary $120,000–$160,000 + 10% bonus.

• Full benefits including medical, dental, vision, life insurance, company-paid disability, 401(k), tuition assistance, and more.