Senior Data Scientist III - Agentic AI

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 generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case.

About the Role:

Are you looking to develop your Data Scientist career?

Do you enjoy coaching others to achieve high standards?

We are seeking a Senior Data Scientist III to lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why—leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows.

You will drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.

Responsibilities:

• Lead experimentation and model development for AI/ML solutions in legal products.

• Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).

• Define agentic workflows and reasoning strategies for multi-step legal tasks.

• Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).

• Analyze large-scale legal datasets to extract insights and improve model performance.

• Establish best practices for model evaluation, validation, and benchmarking.

• Translate experimental results into clear product recommendations and business impact.

• Collaborate with product, legal experts, and engineers to align solutions with user needs.

• Mentor team members and provide technical leadership in data science and AI.

Required Qualifications

• Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).

• Strong experience in machine learning, NLP, and LLM-based modeling.

• Proven experience designing and running experiments, including model evaluation and iteration.

• Experience with generative AI techniques (e.g., prompt engineering, RAG).

• Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.

• Experience designing agentic workflows and reasoning strategies, with hands-on experience applying agent frameworks (e.g., LangChain, LangGraph, AutoGen) in real-world use cases.

• Proficiency in Python and data analysis tools.

• Ability to define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality).

• Able to analyze large-scale legal datasets to extract insights and improve model performance.