Remote Actuarial Data Scientist: Pricing & Forecasting

Mutual of Omaha; United States; On-site; USD 99,000 - 170,000; Full time

Benefits offered by this job

401(k) plan with company match

Vacation time and paid holidays

Personal time off

Job summary

Mutual of Omaha is seeking an Actuarial Data Scientist who blends actuarial expertise with machine learning to improve pricing, forecasting, risk assessment, and business decisions. You will develop predictive models, analyze large datasets, and translate insights into actionable recommendations.

The role emphasizes collaboration with actuarial, finance, underwriting, and product teams, remote work allowed within the United States, and opportunities to work with modern data tools.

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, technical experience.
• Experience with predictive modeling and statistical analysis.
• Knowledge of insurance products, actuarial principles, and risk modeling.
• Excellent problem-solving and communication skills.

Responsibilities

• Develop and maintain predictive models for pricing, reserving, underwriting, risk management, and forecasting.
• Analyze large structured and unstructured datasets to identify trends, risks, opportunities, and actionable business insights.
• Consult with cross-functional teams to understand business challenges, define analytical approaches, and recommend data-driven solutions that drive measurable outcomes.
• Collaborate with actuarial, finance, underwriting, and product teams on strategic initiatives, while supporting experience studies, profitability assessments, scenario analyses, and regulatory and financial reporting requirements.
• 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

Snowflake

SQL

Predictive modeling

Statistical analysis

Data science

Communication skills

Collaboration

CI/CD workflows

Remote work

Education

Bachelor’s degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science, or related field

Tools

Tableau

Power BI

Python

Snowflake

SQL

Job description

Mutual of Omaha is seeking an Actuarial Data Scientist who blends actuarial expertise with machine learning to improve pricing, forecasting, risk assessment, and business decisions. You will develop predictive models, analyze large datasets, and translate insights into actionable recommendations.

The role emphasizes collaboration with actuarial, finance, underwriting, and product teams, remote work allowed within the United States, and opportunities to work with modern data tools.