Data Science Intern: AI, Analytics & Risk Insights

Nextens

Alpharetta (GA)

On-site

USD 25,000 - 33,000

Part time

12 days ago

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Job summary

LexisNexis Risk Solutions in Alpharetta, GA is offering a Data Science Intern role that provides hands-on experience with data analytics, machine learning projects, and AI-enabled solutions across insurance and automotive domains. You will work with data from multiple sources, build dashboards, and communicate findings to both technical and business audiences.

The program runs May 24–July 30, 2027 for 10 weeks, on-site, with some exposure to data sources and analytics workflows.

Qualifications

  • Current undergraduate student with expected graduation May 2028.
  • Interest in data science, analytics, ML, or AI technologies.
  • Experience with data through coursework, projects, or internships.
  • Familiarity with Python/SQL or similar data-analysis tools.

Responsibilities

  • Collect, organize, clean, and analyze data from multiple systems.
  • Identify trends, patterns, gaps, and opportunities for decisions.
  • Assist with experiments and development of data science solutions.
  • Contribute to projects involving AI, vehicle intelligence, telematics, or analytics.
  • Evaluate data sources for quality and usability for business use.
  • Develop reports, dashboards, and visualizations to communicate findings.
  • Support documentation, validation, deployment, and improvement of solutions.

Skills

Data Science
Analytical thinking
Data storytelling

Education

Bachelor's degree in Data Science / related field

Tools

Python
SQL

Job description

LexisNexis Risk Solutions in Alpharetta, GA is offering a Data Science Intern role that provides hands-on experience with data analytics, machine learning projects, and AI-enabled solutions across insurance and automotive domains. You will work with data from multiple sources, build dashboards, and communicate findings to both technical and business audiences.

The program runs May 24–July 30, 2027 for 10 weeks, on-site, with some exposure to data sources and analytics workflows.

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