Senior Data Scientist II

LexisNexis Legal & Professional; North Carolina; On-site; USD 105,000 - 175,000; Full time

Job summary

LexisNexis Legal & Professional in the United States is seeking a Senior Data Scientist II to lead the design and validation of AI-driven legal products. The role focuses on NLP, LLMs, and generative AI within a global platform team.

You will develop retrieval strategies, hybrid search, and evaluation metrics, collaborate with product and engineers, and mentor teammates. Base pay ranges are disclosed, with annual incentive bonus.

Qualifications

• Master’s degree or higher in a quantitative or technical field.
• Strong ML, NLP, and LLM-based modeling experience.
• Experience with designing and running experiments.
• Experience with generative AI techniques and prompt engineering.
• Experience with hybrid search using embeddings and vector databases.
• Hands-on with agent frameworks (LangChain, LangGraph, AutoGen).
• Proficiency in Python and data analysis tools.
• Strong statistics and large-scale text processing.

Responsibilities

• Develop NLP, LLM, and generative AI capabilities for legal domain products.
• Define agentic workflows and reasoning for multi-step tasks.
• Design retrieval strategies with hybrid search and evaluate relevance.
• Analyze large-scale legal datasets to improve model performance.
• Mentor teammates and provide technical leadership.

Skills

Machine learning

NLP

LLM modeling

Experiment design

Generative AI

Hybrid search

Agent workflows

Python

Statistics

Large-scale text processing

Education

Master’s degree or higher in Statistics, CS, Mathematics, Data Science, etc.

Tools

LangChain

LangGraph

AutoGen

Embeddings

Vector databases

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 (www.relx.com), 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. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).

About the Role:

Are you looking to develop your Data Scientist career?

Would you enjoy training more junior team members?

We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven product capabilities within the legal domain. This team is global AI platform team that builds AI products and ships AI features to production. The team works on cutting edge AI technology and extensively leverages latest AI tools/Features as part of product.

Responsibilities:

• Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies).
• Define agentic workflows and reasoning strategies for multi-step legal tasks.
• Develop 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.

Requirements:

• Master’s degree or above in a quantitative or technical field (Statistics, Computer Science, Mathematics, Data Science, etc.).
• Strong experience in machine learning, NLP, and LLM-based modeling.
• Strong 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.
• Strong foundation in statistics, modeling, and large-scale text processing.

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job 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.

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