Data Scientist: Risk, Fraud & Predictive Modeling
Listed on 2026-10-06
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IT/Tech
Data Scientist, Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Analyst
Lexis Nexis Risk Solutions is seeking a Data Scientist to lead predictive modeling and statistical analyses across risk and fraud domains. The role focuses on data mining, analytics, and delivering scalable insights to inform product development.
You will build ML models using SAS, R, Python, and SQL, develop cloud-based analytic solutions, and collaborate with stakeholders to ensure model accuracy. Strong communication across teams is essential.
This posting is for the Data Scientist:
Risk, Fraud & Predictive Modeling role at Lexis Nexis Risk Solutions FL Inc. Company, based in Minneapolis, MN, United States.
If your experience matches this role, we encourage you to apply.
All applications are reviewed carefully by our team.
The position is based in Minneapolis, MN, United States.
This opportunity is part of our work in IT & Technology.
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