WCF Insurance
Data Scientist / Actuarial Modeler
WCF Insurance, Sandy, Utah, United States, 84092
PositionThe Actuarial department has an immediate opening for someone who can demonstrate the WCF values to join their team as a
Data Scientist/Actuarial Modeler . This is a full-time, exempt position that is open to remote or hybrid working arrangements in the Sandy, Utah headquarters office. This position is open to internal and external candidates.ResponsibilitiesDevelop and maintain actuarial models for pricing and risk assessment using advanced statistical and machine learning methods.Analyze datasets to extract meaningful patterns and insights that inform strategic business decisions.Collaborate with cross-functional teams including actuaries, underwriting, and IT professionals to integrate data-driven solutions into business processes.Design experiments and conduct hypothesis testing to validate models and improve accuracy.Communicate complex technical findings and recommendations to non-technical stakeholders in a clear and concise manner.Stay current with industry trends and best practices in data science, actuarial science, and regulatory requirements.QualificationsPreference for at least one of:Master's/PhD in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field.Progress towards relevant professional credentials (e.g., ACAS, FCAS, CSPA).Proven experience (3+ years) in actuarial modeling, pricing, statistical analysis, and/or data science roles within the P&C insurance industry.Strong proficiency in programming languages such as Python, R, or SQL for data manipulation and modeling.Solid understanding of actuarial principles and practices, including risk assessment and financial modeling.Excellent analytical and problem-solving skills, with meticulous attention to detail.Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
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Data Scientist/Actuarial Modeler . This is a full-time, exempt position that is open to remote or hybrid working arrangements in the Sandy, Utah headquarters office. This position is open to internal and external candidates.ResponsibilitiesDevelop and maintain actuarial models for pricing and risk assessment using advanced statistical and machine learning methods.Analyze datasets to extract meaningful patterns and insights that inform strategic business decisions.Collaborate with cross-functional teams including actuaries, underwriting, and IT professionals to integrate data-driven solutions into business processes.Design experiments and conduct hypothesis testing to validate models and improve accuracy.Communicate complex technical findings and recommendations to non-technical stakeholders in a clear and concise manner.Stay current with industry trends and best practices in data science, actuarial science, and regulatory requirements.QualificationsPreference for at least one of:Master's/PhD in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field.Progress towards relevant professional credentials (e.g., ACAS, FCAS, CSPA).Proven experience (3+ years) in actuarial modeling, pricing, statistical analysis, and/or data science roles within the P&C insurance industry.Strong proficiency in programming languages such as Python, R, or SQL for data manipulation and modeling.Solid understanding of actuarial principles and practices, including risk assessment and financial modeling.Excellent analytical and problem-solving skills, with meticulous attention to detail.Strong communication and interpersonal skills, with the ability to collaborate effectively in a team environment.
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