Senior Data Scientist II

RELX

Senior Data Scientist II at LexisNexis improving legal workflows with AI and machine learning. Collaborating with engineers for scalable solutions and mentoring team members.

Posted 7/14/2026full-timeNew York City • California, New York, North Carolina • 🇺🇸 United StatesSenior💰 $104,900 - $174,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Natural Language Processing (NLP), Large Language Models (LLM), and generative AI techniques, with a strong foundation in machine learning and statistical analysis. Capable of designing agentic workflows and hybrid search strategies while providing technical leadership and mentoring in data science.

Highest-signal resume keywords

Machine LearningNatural Language ProcessingGenerative AI TechniquesPython ProficiencyModel Evaluation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

NLPLLM-Based ModelingMachine LearningModel EvaluationHybrid SearchData AnalysisStatisticsText ProcessingPrompt EngineeringAgent Frameworks

Soft Skills

Technical LeadershipMentoringCollaboration

Tools & Technologies

LangChainLangGraphAutoGenVector Databases

Industry Keywords

Legal DatasetsModel ValidationBenchmarkingRelevanceRanking Quality

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Comprehensive, multi-carrier program for medical, dental and vision benefits
401(k) with match and an 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