Remote Actuarial Data Scientist — Predictive Analytics

Acturhire; Northern (KY); Hybrid; USD 99,000 - 170,000; Full time

Benefits offered by this job

401(k) match

Paid time off

Remote-friendly

Job summary

Acturhire is seeking an innovative Actuarial Data Scientist to join our team. The role blends actuarial analytics, statistical modeling, and data science to improve pricing, forecasting, risk assessment, and business decisions.

You will build predictive models and translate complex analytics into actionable insights. Ideal candidates have a strong foundation in Python, Snowflake, and SQL, plus 5+ years of relevant experience.

Qualifications

• Bachelor's degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science, or related field.
• 5+ years of experience in actuarial analytics, data science, insurance analytics, or related field.
• Strong proficiency in Python, Snowflake, and SQL.
• Experience with predictive modeling and statistical analysis.
• Knowledge of insurance products, actuarial principles, and risk modeling.

Responsibilities

• Develop and maintain predictive models for pricing, reserving, underwriting, risk management, and forecasting.
• Analyze large structured and unstructured datasets to identify trends and insights.
• Collaborate with cross-functional teams to define analytical approaches and data-driven solutions.
• Support experience studies, profitability assessments, scenario analyses, and regulatory reporting.
• Design and automate reporting and analytical processes.
• Communicate technical findings to both technical and non-technical stakeholders.
• Continuously evaluate emerging technologies and modeling approaches.

Skills

Python

SQL

Snowflake

Statistical modeling

Data analysis

Communication

Remote work

Education

Actuarial/Statistics degree

Tools

Python

Snowflake

SQL

Job description

Acturhire is seeking an innovative Actuarial Data Scientist to join our team. The role blends actuarial analytics, statistical modeling, and data science to improve pricing, forecasting, risk assessment, and business decisions.

You will build predictive models and translate complex analytics into actionable insights. Ideal candidates have a strong foundation in Python, Snowflake, and SQL, plus 5+ years of relevant experience.