Data Scientist - Generative AI Candidate

Job Summary:

The Data Scientist for Generative AI will design, develop, and optimize prompts and AI workflows for Large Language Models (LLMs), driving intelligent automation within insurance processes such as underwriting and claims processing. This role combines machine learning expertise with advanced GenAI techniques to create scalable, reliable, and high-accuracy AI-driven systems that enhance decision-making and operational efficiency.

Key Responsibilities:

• Act as a Subject Matter Expert (SME) in Prompt Engineering and AI solutions tailored for insurance use cases.
• Design, test, and optimize prompts for document extraction, claims summarization, and underwriting risk assessment.
• Build and orchestrate Agentic AI workflows for multi-step reasoning and effective document processing.
• Develop Retrieval-Augmented Generation (RAG)-based architectures for enhanced contextual understanding of various insurance datasets.
• Apply machine learning and deep learning concepts to enhance the outputs of LLMs, including classification and sequence modeling.
• Integrate traditional ML/NLP modules with LLM pipelines to deliver hybrid AI solutions.
• Collaborate with business stakeholders to transform their requirements into actionable AI solutions that improve workflows.

Requirements:

• Strong foundation in Prompt Engineering and its application in AI solutions.
• Proficiency in Machine Learning and Deep Learning fundamentals.
• Experience in Generative AI and Large Language Model development.
• Familiarity with Natural Language Processing (NLP) or similar text analytics frameworks.
• Proficient in Python with extensive experience in using NLP frameworks.
• Knowledge of OpenAI APIs and LLM platforms, as well as experience with LangChain, LangGraph, and Vector DBs (e.g., Pinecone, FAISS).
• Familiarity with ML/DL frameworks such as TensorFlow or PyTorch, along with experience in API integrations and microservices architecture.