Closer to a data-science crossover than a traditional actuarial specialist role because coding, machine learning, and large-dataset analysis are core requirements.
Senior remote P&C actuarial data science role open to candidates in Indiana and elsewhere in the US or Puerto Rico. You’ll build predictive and machine-learning models for pricing, reserving, underwriting, risk management, and forecasting, while translating analysis for actuarial, finance, underwriting, and product teams. The position requires 5+ years of relevant experience and strong Python, Snowflake, and SQL skills; compensation is $99,000-$169,500 depending on level.
Requirements
Must have
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
Able to work remotely with access to a high-speed internet connection and located in the United States or Puerto Rico
Applicants must not now, nor at any point in the future, require sponsorship for employment
Strongly preferred
Strong proficiency in Python, Snowflake, and 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 (e.g., Git/GitHub)
Familiarity with Continuous Integration and Continuous Deployment (CI/CD) pipelines
Experience with machine learning frameworks and cloud platforms
Familiarity with Tableau, Power BI, or other visualization tools
Skills & Domain
ToolsSnowflakeGit_GitHubTableauPower_BI
DomainInsurance analytics and risk modelingPredictive modeling and statistical analysisPricing, reserving, underwriting support
