AI Project Intern

About the Role

• AI Project Intern supporting the Revenue Management team in the car rental industry.
• Opportunity for a student or recent graduate pursuing a degree in Artificial Intelligence, Data Analytics, Data Science, Computer Science, Business Analytics, or a related field.
• Gain hands-on experience applying AI and data-driven solutions to real business challenges.
• Projects focused on improving revenue management, pricing strategies, operational efficiency, and business decision-making through AI, automation, and data analysis.
• Flexible, paid internship with a hybrid work arrangement.

Key Responsibilities

• Research and evaluate AI tools, technologies, and applications 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.

Schedule & Work Environment

• Paid internship with a flexible schedule.
• Approximately 5–10 hours per week, Monday through Friday.
• Hybrid arrangement combining in-office collaboration and remote work.
• Internship duration of approximately 3–6 months.
• Flexible hours coordinated with the Revenue Management team.

Requirements & Tech Stack

• Currently pursuing or recently completed a degree in Artificial Intelligence, Data Science, Data Analytics, Computer Science, Business Analytics, Statistics, or a related field.
• Interest in applying AI and emerging technologies to real-world business problems.
• Strong analytical, problem-solving, and critical-thinking skills.
• Familiarity with Excel, data visualization, or data analysis tools.
• Exposure to AI tools, machine learning, Python, SQL, Power BI, Tableau, or similar technologies is a plus.
• Ability to work independently, manage assignments, and communicate findings clearly.
• Curiosity, initiative, and a willingness to learn new technologies.
• Students with relevant coursework or project experience are encouraged to apply.
• Advanced AI or programming experience is not required if you have a strong interest in learning and applying these skills.