Would you like to be part of a team that delivers high-quality software to our customers?
Are you a visible champion with a ‘can do’ attitude and enthusiasm that inspires others?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com
About the Team
You’ll join a collaborative squad that includes a Squad Lead, Business Analyst, Development Lead, Developers, and Testers. Our squad model encourages teamwork, shared responsibility, and efficient delivery—everyone contributes to achieving a common goal.
About the Role
You will join the Data Science team within the Brightmine ProdTech organization. The team builds AI‑ and Generative AI‑driven capabilities for Brightmine’s client‑facing products. These products support HR teams across the US, UK, and the Netherlands in solving practical, real‑world challenges.
In this role, you will apply Machine Learning (ML), statistical methods, and Large Language Models (LLMs) to design, build, and deliver solutions that are used in real products. You will work end‑to‑end—from understanding the problem and experimenting with ideas through to deploying and maintaining solutions in production.
You will collaborate closely with a distributed, cross‑functional team of data scientists, software engineers, and product partners based in the US, UK, India, and the Netherland
Responsibilities:
5+ years of relevance experience
Own data science work from problem definition through experimentation and deployment in production environments.
Develop ML, analytics, and AI or GenAI features that support Brightmine’s client‑facing products.
Apply ML, statistical, and LLM‑based approaches to create solutions that are practical, scalable, and aligned with business needs.
Design and run data‑driven experiments, using evidence and outcomes to guide technical and product decisions.
Write production‑quality Python code and contribute to shared GitHub repositories, with a focus on clarity, reliability, and maintainability.
Share insights, trade‑offs, and recommendations clearly with partners across product, engineering, and leadership.
Contribute to and continuously improve team data science practices.
Requirements:
Applied experience using machine learning, statistical methods, and/or LLM‑based techniques to solve real‑world problems.
A solid foundation in ML, statistics, and modern AI approaches, such as prompt‑based methods and retrieval‑augmented techniques.
Experience writing Python code used in production systems.
Hands‑on experience with Python‑based ML and LLM libraries.
Familiarity with concepts such as AI agents, vector databases, semantic search, or retrieval‑augmented generation (desirable but not required).
Learn more about the LexisNexis Risk team and how we work
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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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
- 5+ years of relevant experience
- Applied experience using machine learning, statistical methods, and/or LLM-based techniques
- Solid foundation in ML, statistics, and modern AI approaches (including prompt-based methods and retrieval-augmented techniques)
- Experience writing Python code used in production systems
- Hands-on experience with Python-based ML and LLM libraries
- Ability to own data science work from problem definition through experimentation and production deployment
- Experience designing and running data-driven experiments to inform product and technical decisions
- Familiarity with AI agents, vector databases, semantic search, or retrieval-augmented generation
- Experience contributing to shared GitHub repositories and writing maintainable, production-quality code
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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