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# Actuarial Data Scientist

- **Company:** Mutual of Omaha Insurance Company
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $100,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Data Visualization, Python (Programming Language), Machine Learning, Microsoft Visual Studio, Power BI, Tensorflow, SQL Databases, Tableau (Software), Information Technology, Software Version Control
- **Published:** May 30, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7cbcb982c488da78

## About the Role

Do you have experience in SQL?, Do you have a Bachelor's degree?, * Bachelor's degree in Actuarial Science, Statistics, Mathematics, Data Science, Computer Science, or related field

 * 3+ years of experience in actuarial analytics, data science, insurance analytics, or related field
 * Strong proficiency in Python, 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

Preferred

 * Experience with version control and collaborative development workflows (e.g., Git/GitHub) using modern development environments such as Visual Studio Code.
 * Familiarity with Continuous Integration and Continuous Deployment (CI/CD) pipelines
 * Experience with machine learning frameworks and cloud platforms
 * Strong proficiency in Python, and SQL, technical experience
 * Familiarity with Tableau, Power BI, or other visualization tools, * Here, your skills spark progress. You'll solve meaningful problems, collaborate with passionate teammates, and grow in a space where innovation is the norm-not the exception.
 * We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements

## Description

We are seeking an innovative and analytical Actuarial Data Scientist to join our team. This role combines actuarial expertise, statistical modeling, and advanced data science techniques to improve pricing, forecasting, risk assessment, and business decision-making. The ideal candidate is comfortable working with large datasets, building predictive models, and translating complex analytics into actionable insights., * Develop and maintain predictive models for pricing, reserving, underwriting, and risk management

 * Analyze large structured and unstructured datasets to identify trends and business opportunities
 * Apply machine learning and statistical techniques to improve forecasting accuracy
 * Collaborate with actuarial, finance, underwriting, and product teams on strategic initiatives
 * Design and automate reporting and analytical processes
 * Support regulatory and financial reporting requirements
 * Perform experience studies, scenario analyses, and profitability assessments
 * Communicate technical findings to both technical and non-technical stakeholders
 * Continuously evaluate emerging technologies and modeling approaches


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