About this role

Design, implement, and optimize intelligent systems across claims intake, investigation, and adjudication workflows
Develop AI models for automated data extraction, classification, and triaging of claims
Leverage machine learning to identify anomalies, detect potential fraud, and support decision-making
Help design AI-assisted decision engines for claim outcomes based on policy coverage and risk profiles
Develop predictive models for accurate reserve setting and loss estimation
Implement AI tools to track recovery potential and improve recovery rates

Bachelor’s or Master’s degree in Computer Science, Data Science, Actuarial Science, Insurance, or a related field
2–8 years of experience in insurance claims management, analytics, or AI/ML roles
Strong understanding of claims lifecycle processes, including intake, investigation, adjudication, and recovery
Hands-on experience with machine learning frameworks (e.g., Python, TensorFlow, PyTorch) and data analysis tools
Familiarity with NLP, computer vision, or document processing tools for claims automation
Experience working with large datasets and building predictive models

Insurance Claims Management AI Expert

Key skills