Insurance Policy Administration AI Expert
New
W
Weekday AIInsurance
US, UK, Canada, France, Portugal (remote)ContractMiddle
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 2–7 years
- Required Skills
- PythonSQLPyTorchTensorflowNLP
Requirements
- Bachelor’s or Master’s degree in Insurance, Actuarial Science, Computer Science, Data Science, or a related field
- 2–7 years of experience in insurance operations, policy administration, or AI/ML implementation in the insurance domain
- Strong understanding of policy lifecycle processes: issuance, endorsements, cancellations, and renewals
- Deep knowledge of insurance coverage structures, policy language, and risk interpretation
- Experience with AI/ML techniques such as Natural Language Processing (NLP), classification models, and rule-based systems
- Familiarity with regulatory and compliance frameworks (e.g., IRDAI guidelines, GDPR, or other regional insurance regulations)
- Hands-on experience with data analysis tools (Python, SQL) and AI frameworks (TensorFlow, PyTorch, or similar)
- Ability to translate business requirements into technical solutions and vice versa
- Strong problem-solving skills and attention to detail, especially in handling exceptions and edge cases in policy processing
Responsibilities
- Design, develop, and implement AI-driven solutions to streamline end-to-end policy administration processes, including policy issuance, mid-term endorsements, and renewals
- Analyze and interpret complex insurance policy coverage, translating business rules into scalable AI/ML models and decision frameworks
- Collaborate with underwriting, operations, and compliance teams to automate policy workflows while maintaining high accuracy and auditability
- Build intelligent systems for document processing, policy validation, and exception handling using NLP, rule engines, and predictive models
- Enhance renewal strategies through data-driven insights, customer behavior analysis, and risk profiling
- Ensure AI systems align with regulatory requirements across jurisdictions, incorporating compliance checks into automated workflows
- Monitor model performance, accuracy, and bias, continuously improving systems based on feedback and evolving regulatory standards
- Support integration of AI solutions with policy administration systems (PAS), core insurance platforms, and third-party data providers
- Provide domain expertise in interpreting policy wording, exclusions, and coverage limits to ensure correct system outputs
View Full Description & ApplyYou'll be redirected to the employer's site
