Actuarial Data Scientist - Remote
Location: Remote
Work Type: Full Time Regular
Job No: 504831
Categories: Information Technology
Application Closes: Open Until Filled
Position Summary:
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.
WHAT WE CAN OFFER YOU:
- $100,000 to $130,000, eligible for annual bonus, as applicable.
- 401(k) plan with a 2% company contribution and 6% company match.
- Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
- Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.
WHAT YOU’LL DO:
- 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
WHAT YOU’LL BRING:
- 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
Why Join Us?
- 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, please apply!
- If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status.
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