Applied AI & Business Innovation Intern — Real Impact

Nissan Motor Iberica SA; Franklin (TN); On-site; USD 21,000 - 30,000; Full time

Job summary

Nissan is seeking an Applied AI & Business Innovation Intern for a 12-week Summer 2027 program in Franklin, TN. You will work with business experts to identify opportunities, prototype AI-driven solutions, and test new approaches that improve customer experiences and operational effectiveness.

Ideal candidates are undergraduates in business, IS, data analytics, engineering, CS, HCI, or related fields, entering junior or senior year, with a 3.0+ GPA and a strong willingness to learn and

Qualifications

• Must be currently enrolled in an undergraduate degree program in Business, Information Systems, Data Analytics, Industrial Engineering, Computer Science, Human-Computer Interaction, Innovation/Entrepreneurship, or a related interdisciplinary field.
• Students entering their Junior or Senior year at the start of the upcoming academic term.
• GPA of 3.0 or above (official transcript required).

Responsibilities

• Identify opportunities to improve existing business processes using applied AI and emerging technologies.
• Partner with business subject-matter experts to understand workflows, pain points, and unmet needs.
• Rapidly prototype, test, and refine AI-assisted solutions and new ways of working.
• Evaluate existing AI-enabled tools for usability and improvement.
• Develop and present findings, prototypes, and recommendations to leadership.

Skills

Strong communication

Collaboration

Analytical mindset

Problem solving

Willingness to learn

Education

Undergraduate degree in Business/IS/Data Analytics/IE/CS/HCI/Innovation/Entrepreneurship

Tools

AI tools

Data analysis

Job description

Nissan is seeking an Applied AI & Business Innovation Intern for a 12-week Summer 2027 program in Franklin, TN. You will work with business experts to identify opportunities, prototype AI-driven solutions, and test new approaches that improve customer experiences and operational effectiveness.

Ideal candidates are undergraduates in business, IS, data analytics, engineering, CS, HCI, or related fields, entering junior or senior year, with a 3.0+ GPA and a strong willingness to learn and