Senior Data Scientist III - Agentic AI

About our Team

Lexis Nexis Legal & Professional, part of RELX, employs 11,800 people worldwide and provides AI-driven legal solutions across more than 150 countries.

Senior Data Scientist III – Lead the design and validation of agentic AI product capabilities within the legal domain, leveraging machine learning, NLP, and large language models to solve complex legal workflows.

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.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• 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., Lang Chain, Lang Graph, Auto Gen).
• Proficiency in Python and data analysis tools.
• Ability to define retrieval strategies and relevant metrics.
• Able to analyze large‑scale legal datasets to extract insights and improve model performance.

U.S. National Base Pay Range: $115,400 – $192,300. Geographic differentials may apply. This role is eligible for an annual incentive bonus.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.