About the Team:
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles (https://stories.relx.com/responsible-ai-principles/index.html).
About the Role:Are you looking to develop your Data Scientist career?
Would you enjoy training more junior team members?
We are seeking a Senior Data Scientist II to help lead the design and validation of AI-driven product capabilities within the legal domain. This team is global AI platform team that builds AI products and ships AI features to production. The team works on cutting edge AI technology and extensively leverages latest AI tools/Features as part of product.
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.
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.
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.
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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
- Experience with generative AI techniques (prompt engineering, RAG)
- Experience designing and evaluating hybrid search (semantic + lexical) using embeddings and vector databases
- Experience designing agentic workflows and 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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