Apply advanced analytics, machine learning, and business intelligence to solve insurance-focused problems, partnering across the business to deliver insights, models, and decision support
Job Summary
Apply advanced analytics, machine learning, and business intelligence to solve insurance-focused problems, partnering across the business to deliver insights, models, and decision support.
Design, build, validate, and evolve supervised and unsupervised machine learning models using established methodologies such as Logistic Regression, Random Forests, Gradient Boosting, and Support Vector Machines.
We offer competitive benefits: Hybrid work schedule (in-office days Tues/Wed/Thurs), Generous Time Off, Tuition Reimbursement and Student Loan Repayment, Paid Family Leave and Flexible Spending Accounts, 401k with up to 5% employer match, Fitness and Emotional Wellness Reimbursements, Onsite Gym.
Matching Summary
Apply advanced analytics, machine learning, and business intelligence to solve insurance-focused problems, partnering across the business to deliver insights, models, and decision support.
Skills & Requirements
Must-have
Advanced analytics and machine learning
Python, Spark, SQL, AWS
Tableau for reporting and dashboards
Statistical modeling and machine learning algorithms
Generative AI knowledge and application
Nice-to-have
Modernizing analytics platforms
End-to-end analytic process design
Time-series forecasting methods
Collaborate effectively across functions
Translate business problems to technical frameworks