Senior Data Scientist II
About The Position
LexisNexis Legal & Professional is seeking a Senior Data Scientist II to lead the design and validation of Agentic AI-driven product capabilities within the legal domain. This role focuses on defining what to build and why, leveraging machine learning, NLP, and large language models (LLMs) to solve complex legal workflows. The successful candidate will drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions. LexisNexis Legal & Professional is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market, serving customers in over 150 countries with 11,800 employees worldwide and is part of RELX, a global provider of information-based analytics and decision tools.
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.
- Strong coding skills.
- 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
- Comprehensive, multi-carrier program for medical, dental and vision benefits
- 401(k) with match
- Employee Share Purchase Plan
- Wellness platform with incentives
- Headspace app subscription
- Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family benefits, including bonding and family care leaves, adoption, and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
- Shared parental leave
- Study assistance
- Sabbaticals
- Flexible hours
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What This Job Offers
Job Type
Full-time
Career Level
Senior
