AI Revenue Analytics Intern (Hybrid, Paid)

Budget Utah; Salt Lake City (UT); Hybrid; USD 21,000 - 30,000; Part time

Benefits offered by this job

Paid internship

Hybrid work arrangement

Flexible hours

Job summary

Budget Utah is seeking an AI Project Intern to support the Revenue Management team in the car rental industry. The role offers a flexible, paid internship with hybrid work and a focus on applying AI and data analytics to pricing and operations.

Ideal candidates are students or recent graduates in AI, data science, or related fields, with strong analytical skills, Python/SQL familiarity, and an eagerness to learn. Collaboration with the team is essential for driving insights.

Qualifications

• Pursuing or recent graduate in AI/DS/Analytics or related field.
• Interest in applying AI to real business problems.
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Research and evaluate AI tools for revenue management and car rental operations.
• Analyze rental data, pricing trends, vehicle utilization, demand, and revenue.
• Identify opportunities to use AI and automation to improve reporting and forecasting.
• Develop and test AI-powered tools, dashboards, reports and analytical models.
• Use data analysis tools to organize information, identify trends and present insights.
• Assist with automating repetitive tasks and improving workflows.
• Collaborate with Revenue Management to define goals and document results.
• Present findings and recommendations to the team.

Skills

Analytical thinking

Data analytics

Excel

Python

SQL

Education

Pursuing or recent graduate in AI/Data Science/Analytics/CS/Statistics

Tools

Power BI

Tableau

Python

SQL

Excel

Job description

Budget Utah is seeking an AI Project Intern to support the Revenue Management team in the car rental industry. The role offers a flexible, paid internship with hybrid work and a focus on applying AI and data analytics to pricing and operations.

Ideal candidates are students or recent graduates in AI, data science, or related fields, with strong analytical skills, Python/SQL familiarity, and an eagerness to learn. Collaboration with the team is essential for driving insights.