Data Scientist

Key Responsibilities Design, build, and deploy scalable machine learning and generative AI solutions for legal technology products. Develop and optimize NLP, LLM, and Retrieval-Augmented Generation (RAG) applications for production environments. Engineer agentic AI workflows and multi-step reasoning systems to automate complex legal processes. Implement and improve retrieval systems, including vector databases, semantic search, lexical search, and hybrid search architectures. Build and main

Job Description About the Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generativ

Job Description About the Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generativ

Key Responsibilities Leverage advanced data science and analytical skills to extract insights from complex datasets. Design, develop, implement, evaluate, and validate machine learning and AI solutions. Develop and support end-to-end Retrieval-Augmented Generation (RAG) implementations, including evaluation, validation, and proofing. Work directly with Large Language Models (LLMs), Generative AI, and Transformer-based architectures. Apply agentic AI approaches and MCP capabilities to enterp