Senior Data Scientist II

About the Team

LexisNexis Legal & Professional serves customers in over 150 countries with 11,800 employees worldwide. It is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. LexisNexis focuses on deploying AI and advanced technologies in the legal market to enhance productivity and transform the legal industry. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate AI solutions aligned with RELX's Responsible AI Principles.

About the Role

We are seeking a Senior Data Scientist II to lead the design and validation of AI-driven product capabilities within the legal domain. This role involves working on a global AI platform team that develops and deploys AI products and features to production. The team specializes in cutting-edge AI technology and frequently utilizes the latest AI tools and features.

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 evaluate model performance using metrics like relevance and 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 quantify their business impact.
• Collaborate with product, legal experts, and engineers to ensure solutions meet user needs.
• Mentor team members and provide technical leadership in data science and AI.

Requirements

• A 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.
• 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.
• A strong foundation in statistics, modeling, and large-scale text processing.

Pay

The U.S. base pay range for this role is $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This position is eligible for an annual incentive bonus.

Benefits

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or contacting 1-855-833-5120. We also offer country-specific benefits, which can be accessed through a link provided.

Equal Opportunity Employer

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. For USA job seekers, we provide EEO Know Your Rights information.

Application Information

To apply for this role, create a profile on hackajob and explore other opportunities that match your experience. Hackajob partners with LexisNexis to fill this position. For additional learning and development resources, visit Upskill.