Are you excited to help shape the future of AI-powered legal technology using generative AI, RAG architectures, and agentic workflows?
Do you thrive in building scalable AI solutions that deliver measurable customer value while contributing directly to production-quality software?
About our Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (http://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.
About the Role
As a Senior II Data Scientist, you will lead the development of innovative AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems. You will work closely with product managers, domain experts, and stakeholders to translate business needs into scalable, production-ready solutions while contributing directly to software development and continuous innovation.
Responsibilities
Lead the end-to-end lifecycle of AI projects (leveraging LLMs, RAG architectures, and agentic workflows), from problem definition and experimentation through deployment, evaluation, and continuous improvement.
Monitor, evaluate and optimize AI system performance using metrics, user feedback, and experimentation frameworks.
Partner with product managers, domain experts, and stakeholders to prioritize opportunities while communicating results and tradeoffs.
Contribute directly to software development as an individual contributor.
Design and implement scalable AI solution architectures, including data ingestion, retrieval, generation, and evaluation components.
Build and enhance RAG-based applications and AI-powered products.
Collaborate across teams to identify and solve complex information retrieval and NLP challenges.
Support the continuous improvement of AI systems through experimentation, testing, and performance analysis.
Requirements
2 to 5 years of experience in Data Scientist or similar roles.
At least 1 year of hands-on experience building RAG-based applications and agentic AI systems.
Ability to design and explain end-to-end AI solution architectures, including data ingestion, retrieval, generation, and evaluation components.
Strong proficiency in Python, modern AI frameworks (e.g., LangChain, Google ADK), cloud-based development, and software engineering best practices for production of AI systems.
Experience working with NLP, document processing, search, recommendation systems, or related information retrieval problems.
Familiarity with embeddings, vector search, and retrieval mechanisms.
Ability to evaluate AI system performance and diagnose issues related to answer quality, retrieval, hallucinations, or model behavior.
Experience implementing agentic workflows and multi-agent architectures.
Proven ability to work closely with Product and stakeholders to understand business needs, gather requirements, and translate them into scalable AI solutions.
Strong communication skills in English, including the ability to explain technical concepts to different audiences.
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working Pattern
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.
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.
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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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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Skills Required
- 2 to 5 years of experience as a Data Scientist or in a similar role
- At least 1 year of hands-on experience building RAG-based applications and agentic AI systems
- Ability to design and explain end-to-end AI solution architectures covering data ingestion, retrieval, generation, and evaluation
- Strong proficiency in Python, modern AI frameworks such as LangChain or Google ADK, cloud-based development, and production AI software engineering practices
- Experience with NLP, document processing, search, recommendation systems, or related information retrieval problems
- Familiarity with embeddings, vector search, and retrieval mechanisms
- Ability to evaluate AI system performance and diagnose answer quality, retrieval, hallucination, and model behavior issues
- Experience implementing agentic workflows and multi-agent architectures
- Ability to collaborate with product teams and stakeholders, gather requirements, and translate business needs into scalable AI solutions
- Strong English communication skills, including the ability to explain technical concepts to different audiences
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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