AI/ML Engineer
Core
Develop scalable AI/ML solutions using predictive modeling, data mining, and machine learning algorithms to uncover data patterns and drive profit growth for Starr Insurance.
Role type
AI/ML Engineer
Builds
Scalable AI/ML solutions for underwriting, claims processing, risk assessment, and customer service
Domain
Insurance / Financial Services
Deliverable
production ML models
Required skills
Predictive modeling, data mining, machine learning algorithms, propensity modeling, uplift modeling, classification models, forecasting, foundation models, advanced analytics, data integration, data modeling workflow
Preferred skills
Actuarial science knowledge, insurance-specific data sets, AI engineering project experience
Technologies
R, Python, decision trees, logistic regression, hierarchical regression, neural networks, random forests
Responsibilities
Design, develop, and deploy AI/ML solutions with best practices in statistics and deep learning; Identify growth opportunities in underwriting, claims processing, risk assessment, and customer service through AI/ML augmentation; Collaborate cross-functionally with business, IT, and Transformation to drive scalability; Communicate complex AI/ML concepts and findings to business leaders
Seniority
Mid-level, hands-on IC