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PatientPoint

REMOTE - Data Scientist

$101.54K - $175.73K/yr

Cincinnati OR Remote Travel Required: 2-3 times yearly Job Summary The Data Science team at PatientPoint works on business problems across the enterprise, such as provider growth, pricing, operations ...

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Infographic showing various Remote Data Science Insurance job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 60% Full Time, 36% Part Time, 2% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.
Actuarial Data Scientist - Remote

Actuarial Data Scientist - Remote

Mutual of Omaha

Omaha, NE • On-site, Remote

Other

Retirement, PTO

Posted yesterday

Mutual Of Omaha rating

8.6

Company rating: 8.6 out of 10

Based on 58 frontline employees who took The Breakroom Quiz

73rd of 259 rated insurance

Job description

Actuarial Data Scientist - Remote

Apply now Job no: 504831
Work type: Full Time Regular
Location: Remote
Categories: Information Technology

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.
  • Stay Safe from Job Scams
    Mutual of Omaha only accepts applications from mutualofomaha.com/careers. Legitimate communications will come from '@mutualofomaha.com.' We never request sensitive information or extend job offers without conducting interviews. For more details, check our Hiring FAQs. Stay alert for scams and apply securely!
  • Fair Chance Notices
  • #mutualofomaha

Advertised: May 27, 2026 09:00 AM Central Daylight Time
Applications close:

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