AI Revenue Analytics Intern (Hybrid, Paid)

Avis Budget Group

Salt Lake City (UT)

Hybrid

USD 21,000 - 30,000

Part time

9 days ago

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Job summary

Avis Budget Group is seeking an AI Project Intern to support the Revenue Management team. The role targets students or recent graduates in AI, data analytics, data science, CS, or related fields, with hands-on AI applications for pricing and operational efficiency.

The internship offers a hybrid work arrangement, paying for a flexible schedule about 5–10 hours per week over 3–6 months, and provides practical experience with real business data and AI tools.

Qualifications

  • Currently pursuing or recently completed a degree in Artificial Intelligence, Data Science, Data Analytics, Computer Science, Business Analytics, Statistics, or a related field.

Responsibilities

  • Research and evaluate AI tools relevant to revenue management and car rental operations.
  • Assist with analyzing rental data, pricing trends, vehicle utilization, demand patterns, and revenue performance.
  • Identify opportunities to use AI and automation to improve reporting, forecasting, and business processes.
  • Help develop and test AI-powered tools, dashboards, reports, and analytical models.
  • Use data analysis tools to organize information, identify trends, and present actionable insights.
  • Assist with automating repetitive tasks and improving existing workflows.
  • Collaborate with the Revenue Management team to define project goals, test solutions, and document results.
  • Present findings and recommendations to team members.

Skills

AI & data analytics
Python
SQL
Power BI
Excel
Tableau

Education

Pursuing/Recent degree in AI/DS/Analytics/CS/Statistics

Tools

Python
SQL
Power BI
Tableau
Excel

Job description

Avis Budget Group is seeking an AI Project Intern to support the Revenue Management team. The role targets students or recent graduates in AI, data analytics, data science, CS, or related fields, with hands-on AI applications for pricing and operational efficiency.

The internship offers a hybrid work arrangement, paying for a flexible schedule about 5–10 hours per week over 3–6 months, and provides practical experience with real business data and AI tools.

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