Data Scientist – Predictive Modeling & Risk Analytics

About the role

Join the Analytic Customer Management team at LexisNexis Risk Solutions to lead predictive modeling and statistical analysis for risk and fraud domains. You will turn large data sets into actionable insights that drive product growth and improve customer outcomes.

Key responsibilities

• Design, build, and deploy machine‑learning models using R, Python, SAS and SQL.
• Develop cloud‑based analytic solutions and integrate them with enterprise systems.
• Analyze extensive datasets to uncover patterns, support product development, and validate scoring code.
• Collaborate with cross‑functional stakeholders to ensure model accuracy and business relevance.
• Document methodologies and adhere to best practices in statistical modeling.

Required profile

• Degree in Computer Science, Statistics, Mathematics or a related quantitative field.
• Proven experience in predictive modeling and statistical analysis.
• Strong communication skills with the ability to work cross‑functionally.
• Experience in fraud analytics is a plus.

Required skills

• R
• Python
• SAS
• SQL
• Big Data technologies

What we offer

• Comprehensive health, dental and vision benefits.
• 401(k) plan with company match and employee share purchase plan.
• Wellness platform, Headspace subscription, and employee assistance programs.
• Paid time off, volunteer days, and family‑care leave options.
• Competitive salary range based on location.