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# Actuarial Data Scientist-Remote

- **Company:** Mutual of Omaha Insurance Company
- **Location:** Omaha, NE, United States (Remote available)
- **Experience:** Expert
- **Salary:** $99,000.0 - $133,500.0
- **Contract:** Permanent contract
- **Skills:** Data Visualization, Python (Programming Language), Machine Learning, Microsoft Visual Studio, Power BI, Tensorflow, SQL Databases, Tableau (Software), Snowflake, Information Technology, Software Version Control
- **Published:** September 14, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pjrc7071sj

## About the Role

* 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
 * You promote a collaborative culture, value different ideas and opinions, and listen courageously, remaining curious in all that you do.
 * Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico

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, Snowflake, and SQL, technical experience
 * Familiarity with Tableau, Power BI, or other visualization tools

We value unique experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply!

## Description

* Develop and maintain predictive models and apply statistical and machine learning techniques to support 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.


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