Data Scientist
AI summary of the role
Client-facing Data Scientist role at LexisNexis Risk Solutions, focused on fraud detection and prevention.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Use and suggest new tools and scripts to optimize models and policies leveraging thousands of data points from LexisNexis Risk Solutions products.
- Scope, plan, and deliver customer-focused projects including proof of values, proactive analytics, go-lives, optimizations, and custom models.
- Inspire and support research to improve team capabilities, with experience in Git and Jira required.
- Clearly explain complex patterns of behavior using data and models to non-technical audiences.
What you’ll bring
- Strong knowledge of SQL, Python, Excel, and LUA.
- Experience with Git and Jira.
- Ability to craft a story through data and deliver industry-leading presentations.
- Strong problem-solving skills and attention to detail.
Technologies
SQL · Python · Excel · LUA · Git · Jira · SuperSet · PowerBI · Snowflake · CoPilot · Jupyter
About RELX
Provides analytics, decision tools, and workflow products for legal, risk, scientific, health, and events customers, built on proprietary data and trusted content.
Public · 5000+ people
Source and classification
Implementation & delivery · Evidence for this classification:
Are you looking for a Client Facing Data Scientist role to help drive innovation in the fraud detection space? About the role: As a collaborative Data Scientist you will use and suggest new tools to optimize models and policies leveraging thousands of data points from a variety of LexisNexis Risk Solutions productions including ThreatMetrix, Emailage, BehavioSec, Fraud Intelligence, PhoneFinder and others on the Dynamic Decision Platform. About the team: This client facing team is driving evidence-based solutions to help our clients make more informed decisions and help mitigate risk and build trust for their customers. About the Business LexisNexis® Risk Solutions provides customers with innovative technologies, information-based analytics, decisioning tools and data management services that help them solve problems, make better decisions, stay compliant, reduce risk and improve
More from the job description
Are you looking for a Client Facing Data Scientist role to help drive innovation in the fraud detection space? About the role: As a collaborative Data Scientist you will use and suggest new tools to optimize models and policies leveraging thousands of data points from a variety of LexisNexis Risk Solutions productions including ThreatMetrix, Emailage, BehavioSec, Fraud Intelligence, PhoneFinder and others on the Dynamic Decision Platform. About the team: This client facing team is driving evidence-based solutions to help our clients make more informed decisions and help mitigate risk and build trust for their customers. About the Business LexisNexis® Risk Solutions provides customers with innovative technologies, information-based analytics, decisioning tools and data management services that help them solve problems, make better decisions, stay compliant, reduce risk and improve operations. Headquartered in metro-Atlanta, Georgia it operates within the Risk market segment of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Responsibilities Analytics: Use and suggest new tools and scripts to optimize models and policies leveraging thousands of data points from the ThreatMetrix Digital Identity Network as well as other LexisNexis Risk Solutions products on the Dynamic Decision Platform. Consulting: Scope, p [... source excerpt omitted ...] ractices and help shape and improve our products. What you’ll be doing Stay ahead of the industry trends by continuously thinking of new ways to apply our tools and solutions to customer problems across different industries. Help the team by thinking outside the box. Scope, plan, and deliver on customer analytical requests. Help the team deliver complex analytics and difficult customer problems Use your strong knowledge of SQL, Python, Excel and LUA plus quantitative skills to deliver insight which will help capture evolving fraudster behaviors. Ability to quickly learn about new tools to help the team with their deliverables Be constantly curious and have strong problem-sol [... source excerpt omitted ...] ort (Financial Services, E-commerce, Gaming, Telecommunications) Employ your multi-tasking and prioritization skills to excel in a fast-paced environment with frequently changing customer priorities LexisNexis® Risk Solutions is supportive of women in Technology and has been a founding signature for the Tech Talent Charter. We have the following initiatives in place to support women in technology: Mentoring scheme for women in technology, Women’s network forum, regularly run events for schools about careers in technology to inspire the next generation of girls in technology. Working for You: We know that your wellbeing and happiness are key to a long and successful career.
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