Senior Data Scientist II
About The Position
LexisNexis Legal & Professional, part of RELX, is a global leader in providing information-based analytics and decision tools for professionals. The company has a strong history of leveraging AI and advanced technologies in the legal market to enhance productivity and transform legal practices. They are committed to deploying ethical and powerful generative AI solutions, utilizing a flexible, multi-model approach to select the best model for each specific legal use case. With over 2,000 technologists, data scientists, and experts, the company develops, tests, and validates solutions in accordance with RELX Responsible AI Principles. This role is within a global AI platform team that builds AI products and deploys AI features into production, working with cutting-edge AI technology and the latest AI tools and features. The Senior Data Scientist II will help lead the design and validation of AI-driven product capabilities within the legal domain and will have the opportunity to train more junior team members.
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.
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.
Benefits
- Eligible for an annual incentive bonus.
- Country specific benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
