Data Analytics Professional

5 days ago


Alpharetta, United States LexisNexis Full time
About the Role

The Data Science Internship Program at LexisNexis Risk Solutions provides a unique opportunity for master's students to gain hands-on experience in data analysis and modeling. As a Data Science Intern, you will work closely with the Auto Underwriting Analytics team to develop and apply data science methods for analyzing data related to our Underwriting suite of products.

Responsibilities
  • Conducting analysis and creating performance reports to support existing and new product development, and/or customer sales.
  • Developing analytic models, writing analysis code, and collaborating with internal or external stakeholders to validate the accuracy of results.
  • Following established best practices in statistical work and analyzing plans by executing appropriate statistical and modeling techniques.
  • Assembling, merging, and parsing large amounts of data to detect meaningful patterns and trends.
  • Providing support for client inquiries regarding score calculations or other analytical outputs.
  • Participating in targeted training designed to enhance technical skills and develop core competencies.
  • Documenting and communicating analytical work and results clearly.
Requirements
  • Be a currently enrolled student working on a Master's in a Scientific, Mathematical, or Computer field.
  • Must be graduating between December 2025 and May 2026.
  • Possess foundational knowledge of natural language processing, machine learning, and information retrieval.
  • Display familiarity with data manipulation languages and showcase a basic grasp of data modeling principles.
  • Be a natural problem solver, able to collaborate with your team to resolve issues.
  • Demonstrate excellent problem-solving skills and ability to think critically.
  • Possess excellent communication and interpersonal skills.
About LexisNexis Risk Solutions

LexisNexis Risk Solutions provides customers with solutions and decision tools that combine public and industry-specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions.

We are an equal opportunity employer and welcome applications from candidates of diverse backgrounds and underrepresented groups. We prioritize inclusive leadership and equitable processes as part of our culture.



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