AI, Data & Analytics Intern — Automotive Tech

stellantisexternalcx; Michigan; On-site; USD 25,000 - 36,000; Full time

Benefits offered by this job

Exposure to cutting-edge projects

Collaborative work environment

Mentorship from experienced pros

Networking with peers and leaders

Skill development workshops

Paid US holidays

Vehicle discount program

Job summary

Stellantis in Auburn Hills, Michigan, is seeking an AI, Data & Analytics Intern to join the Product Development & Technology (PDT) team. This on-site program runs May through August 2027 and includes hands-on projects, mentorship, and collaboration with top talent across the organization.

You will gain real-world experience in data-driven decision-making, work with cutting-edge infrastructure and analytics, and have opportunities for future full-time roles.

Qualifications

• Pursuing a bachelor’s degree or higher in AI, Computer Science, Software Engineering, Computer Engineering, Data Science, Informatics, Math/Statistics, Physics, Econometrics, Cybersecurity, Information Technology, or related field.
• Able to work full-time, 40 hours per week during the internship.
• Authorized to work in the United States.

Responsibilities

• Develop valuable technical and professional skills.
• Collaborate with interns on impactful projects.
• Present your work to the PDT Senior Leadership Team.
• Be part of a diverse, innovative, and forward-thinking organization.

Skills

Communication skills

Team collaboration

Written communication

Prioritization

Leadership potential

Education

Pursuing Bachelor's or higher in AI/CS/SWE/related

Tools

Microsoft Office

Job description

Stellantis in Auburn Hills, Michigan, is seeking an AI, Data & Analytics Intern to join the Product Development & Technology (PDT) team. This on-site program runs May through August 2027 and includes hands-on projects, mentorship, and collaboration with top talent across the organization.

You will gain real-world experience in data-driven decision-making, work with cutting-edge infrastructure and analytics, and have opportunities for future full-time roles.