About our Team:
LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case.
About the Role:We are seeking a Senior Data Scientist II to help 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. You will help drive experimentation, modeling, and evaluation, partnering closely with engineers to translate validated approaches into scalable, customer-facing solutions.
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.
Education: 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.
Work in a way that works for you
We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
Working for you
We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
Wellbeing: 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
About the Business
LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services.
#AIFluency
U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Colorado, the base pay range is $104,900 - $174,700.If performed in Illinois, the base pay range is $110,100 - $183,500.If performed in Chicago, IL, the base pay range is $115,400 - $192,200.If performed in Maryland, the base pay range is $110,100 - $183,500.If performed in New York, the base pay range is $115,400 - $192,200.If performed in New York City, the base pay range is $125,900 - $209,700.If performed in Rochester, NY, the base pay range is $104,900 - $174,700.If performed in New Jersey, the base pay range is $123,816 - $197,784.If performed in Ohio, the base pay range is $99,700 - $166,000. This job is eligible for an annual incentive bonus. Application deadline is 07/31/2026.We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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 please contact 1-855-833-5120.
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Please read our Candidate Privacy Policy.
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.
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EEO Know Your Rights.
Skills Required
- 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)
- Proficiency in Python and data analysis tools
- Strong foundation in statistics, modeling, and large-scale text processing
RELX Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about RELX and has not been reviewed or approved by RELX.
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Retirement Support — Retirement support is positioned as a meaningful part of total rewards through a 401(k) plan with matching contributions, alongside other financial protections such as life and disability coverage. Tuition reimbursement and share purchase access further broaden the financial value of the package beyond base salary.
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Leave & Time Off Breadth — Leave and time off breadth appears strong, with generous vacation allowances, mental health days, and options like sabbaticals and tiered PTO by tenure. Parental and caregiving leaves are described in detail, reinforcing time-away benefits as a standout component of the overall package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are supported by offerings such as mental health support (e.g., app access), EAP resources, gym-related perks, and wellness incentives. Flexible working hours and related work-life supports add to the perceived day-to-day value of benefits.
RELX Insights
What We Do
RELX is a global provider of information-based analytics for professional and business customers across industries. We help scientists make new discoveries, doctors and nurses improve the lives of patients and lawyers win cases. We prevent online fraud and money laundering, and help insurance companies evaluate and predict risk. Our events enable customers to learn about markets, source products and complete transactions. In short, we enable our customers to make better decisions, get better results and be more productive. We do this by leveraging a deep understanding of our customers to create innovative solutions which combine content and data with analytics and technology in global platforms. RELX serves customers in more than 180 countries and has offices in about 40 countries. It employs approximately 30,000 people of whom almost half are in North America. We operate in four major market segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions.
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