Senior Data Scientist III
About The Position
LexisNexis Legal & Professional, part of RELX, is a global provider of information-based analytics and decision tools, serving customers in over 150 countries with 11,800 employees. The company is a leader in deploying AI and advanced technologies to the legal market, focusing on improving productivity and transforming the business and practice of law through ethical and powerful generative AI solutions with a flexible, multi-model approach. Senior Data Scientists III are emerging subject matter experts who define projects and their execution. They lead through influence, mentoring teams to develop and execute on best practices and methodologies, and may have small teams of indirect reports.
Requirements
- Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Mathematics).
- Demonstrates strong experience in NLP, and LLM-based modeling.
- Strong experience with generative AI techniques (e.g., prompt engineering, RAG).
- Experienced in designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases.
- Ability to design 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.
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.
Benefits
- country specific benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
1-10 employees
