Do you want to work on advanced Generative AI systems that turn complex information into clear, trusted insights?
You will join a multidisciplinary team of data scientists, engineers, and product partners focused on building intelligent, reliable, and responsible AI solutions for legal and business professionals. We work collaboratively, value thoughtful experimentation, and prioritize high‑quality, production‑ready outcomes.
As a Senior Data Scientist II, you will design and improve Generative AI, Retrieval‑Augmented Generation (RAG), and agentic RAG systems that power drafting, search, and reasoning use cases. You will focus on retrieval quality, evaluation, and production‑grade machine learning components, working closely with cross‑functional partners to deliver measurable improvements in relevance, accuracy, and user trust.
- Design, build, and optimize Generative AI, RAG, and agentic RAG systems for drafting, search, and reasoning use cases
- Improve LLM‑generated outputs through prompt design, retrieval optimization, evaluation, and experimentation
- Develop and maintain scalable data science and machine learning components for production environments
- Build and enhance retrieval pipelines, including query processing, document retrieval, ranking, reranking, and grounding strategies
- Apply text search and relevance tuning techniques using platforms such as OpenSearch and Solr
- Use embeddings, hybrid retrieval, semantic search, and reranking methods to improve answer quality and system performance
- Write high‑quality, maintainable, production‑ready Python code following strong software engineering practices
- Collaborate closely with partners across data science, engineering, product, and domain teams
- Proven experience building and improving Generative AI and LLM‑based solutions in production or near‑production settings
- Strong experience with RAG frameworks, retrieval‑based AI architectures, and agentic workflows
- Advanced Python skills, including modular design, testing, debugging, and clean coding practices
- Strong understanding of information retrieval, text search methods, and retrieval architectures
- Hands‑on experience with OpenSearch, Solr, or similar search platforms
- Experience with embeddings, semantic retrieval, reranking, and relevance optimization
- Proven ability to work effectively in a monorepo environment with disciplined version control and code review practices
- Experience collaborating in cross‑functional teams and contributing to CI/CD and deployment workflows
We promote flexible ways of working that support collaboration, focus, and personal wellbeing, while meeting the needs of our teams and customers.
This role supports flexible working arrangements, balancing individual productivity with team collaboration.
You will be part of the LNLP division, within the Standard business unit, delivering trusted information and technology solutions that help professionals make confident decisions.
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.
Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.
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.
USA Job Seekers:
EEO Know Your Rights.
Skills Required
- Proven experience building and improving Generative AI and LLM-based solutions in production or near-production settings
- Strong experience with RAG frameworks, retrieval-based AI architectures, and agentic workflows
- Advanced Python skills including modular design, testing, debugging, and clean coding practices
- Strong understanding of information retrieval, text search methods, and retrieval architectures
- Hands-on experience with OpenSearch, Solr, or similar search platforms
- Experience with embeddings, semantic retrieval, reranking, and relevance optimization
- Proven ability to work effectively in a monorepo environment with disciplined version control and code review practices
- Experience collaborating in cross-functional teams and contributing to CI/CD and deployment workflows
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.
-
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.
-
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.
-
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.
.png)
.jpg)
