Develop and deploy predictive and descriptive models (including ML) across the customer lifecycle, perform deep-dive analytics, build BI to monitor program results, and partner with stakeholders to apply risk modeling and analytics to business problems.

Build, deploy, and monitor predictive and descriptive models across the customer lifecycle. Conduct deep-dive analytics, develop BI to track program results, and partner with stakeholders to identify analytics-driven opportunities and solve business problems.

As a Data Scientist II, you will own data science projects, drive analytical work, and collaborate on impactful solutions in insurance data analytics.