Machine Learning Engineer
Core
Develop and deploy AI/ML models (classification, forecasting, uplift, propensity) to improve operational efficiency and business performance in insurance.
Role type
Machine Learning Engineer
Builds
Predictive models and intelligent systems for underwriting, claims, and customer engagement
Domain
Insurance / Financial Services
Deliverable
production ML models
Required skills
Python, R, decision trees, logistic regression, neural networks, random forests, large dataset management, end-to-end data modeling
Preferred skills
Actuarial concepts, insurance-specific data models, internship/project experience in AI/ML
Technologies
Python, R, Machine Learning
Responsibilities
Develop and deploy AI/ML models; Partner with business, IT, and strategy teams to ensure model scalability and alignment; Communicate analytical findings to stakeholders
Seniority
Mid-level (2+ years experience)