Closer to a data science crossover than a traditional pricing or reserving role because the remit spans machine learning, large-scale data, and several actuarial functions.
Remote US actuarial data science role at Mutual of Omaha, combining insurance analytics with predictive modeling, machine learning, pricing, reserving, risk assessment, and forecasting. You will work with large structured and unstructured datasets and partner with actuarial, finance, underwriting, and product teams. The ad supports Data Scientist through Principal Data Scientist levels and lists a salary range of $99,000-$169,500.
Requirements
Must have
Must not require visa sponsorship (United States or Puerto Rico)
Strongly preferred
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
Strong proficiency in Snowflake
Strong proficiency in SQL
Experience with predictive modeling and statistical analysis
Knowledge of insurance products, actuarial principles, and risk modeling
Excellent problem-solving and communication skills
Nice to have
Experience with version control and collaborative development workflows (Git/GitHub, VS Code)
Familiarity with CI/CD pipelines
Experience with machine learning frameworks and cloud platforms
Familiarity with Tableau, Power BI, or other visualization tools
Skills & Domain
ToolsSnowflakeTableauPower_BIGit_GitHub
DomainInsurance analytics or actuarial analyticsPredictive modeling and statistical analysisInsurance products and risk modelingLarge dataset analysisCross-functional collaboration with actuarial teams
