Overview
Skills
Job Details
"Collaborate with underwriting and data science teams to understand GenAI model requirements and translate them into structured test data strategies.
Design, develop, and maintain comprehensive test datasets tailored to P&C insurance underwriting use cases for validating GenAI application.
Ensure data quality, consistency, and relevance for model validation.
Apply QA best practices to validate data and outputs from GenAI models ensuring accuracy and completeness.
10 to 12 years of experience in the insurance industry, with a strong focus on Commercial P&C.
10 to 12 years of experience in data-centric roles, including data analysis, data modeling, or data QA.
Proven ability to create and manage test data for complex systems, preferably in AI/ML or GenAI environments.
Strong understanding of insurance data structures, policy lifecycle, and underwriting processes.
Excellent communication and documentation skills to interface with cross-functional teams.