Senior AI/ML Risk Modeling Expert

Relx Plc; Minneota (MN); On-site; USD 105,000 - 175,000; Full time

Job summary

LexisNexis Risk Solutions in the United States is seeking a Sr Statistical Modeler to develop and implement analytics and AI solutions across the risk domain. You will independently execute complex analytical work, translating well defined problems into scalable machine learning solutions throughout the modeling lifecycle.

This role works closely with engineering, product, and platform teams, communicates insights to both technical and non-technical stakeholders, mentors junior staff, and helps

Qualifications

• Master's degree in a related discipline may substitute for part of the required experience.
• Experience applying ML and statistical techniques to real‑world problems.
• Hands‑on experience developing, evaluating, and iterating on predictive and ML models.
• Experience evaluating model performance using metrics and validation techniques.
• Experience working with structured and unstructured data at scale.
• Proficiency in Python and/or R using common data science and ML libraries.
• Experience working with SQL and relational or cloud-based data platforms.
• Hands-on experience developing and running DS/AI workloads in AWS/Azure.
• Exposure to modern AI frameworks and retrieval-augmented workflows.
• Experience training, fine‑tuning, or evaluating neural network–based models.
• Experience applying software engineering practices to DS codebases, including testing and version control.
• Ability to independently execute complex analytical work and communicate with non-technical audiences.

Responsibilities

• Applies statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate data from diverse sources.
• Develops and maintains infrastructure systems that connect internal data sets; creates new data collection frameworks.
• Recognized expert within the function and mentors junior staff.
• Interprets business challenges and recommends best practices to improve products, processes or services.
• Works independently, with guidance in only the most complex situations.
• Trains/mentors junior staff and serves as a client-facing data science expert.
• Interprets internal/external business issues and recommends best practices.

Skills

Data Science

Machine learning

Python

R

SQL

Cloud platforms

AWS

Azure

LLM

Neural networks

Code quality

Version control

Education

Master's degree

Tools

Pandas

NumPy

scikit-learn

XGBoost

PyTorch

SQL

Job description

LexisNexis Risk Solutions in the United States is seeking a Sr Statistical Modeler to develop and implement analytics and AI solutions across the risk domain. You will independently execute complex analytical work, translating well defined problems into scalable machine learning solutions throughout the modeling lifecycle.

This role works closely with engineering, product, and platform teams, communicates insights to both technical and non-technical stakeholders, mentors junior staff, and helps