Experience applying analytics and AI techniques to areas such as underwriting, claims, risk analysis, fraud detection, customer analytics, pricing, financial forecasting, portfolio analysis, and operational analytics is highly preferred. The candidate should have strong expertise in Python, statistics, supervised and unsupervised learning, feature engineering, model development and validation, NLP, LLMs, embeddings, and Retrieval-Augmented Generation (RAG).