Digital & AI Intern for Service Solutions

International Motors•Lisle, IL

16h

About The Position

International is seeking a Digital & AI Intern for Service Solutions to gain hands-on experience in workflow improvement, analytics, automation, digital products, and responsible AI in a commercial vehicle business environment. This is a 12-week, full-time summer internship. The intern will be assigned to one of eight Service Solutions business areas—Digital, Finance, DCS, Service, Contracts, Warranty, Supply Chain, or Parts—based on their skills and the program’s selected business use cases. Working with a business manager, Digital & AI mentors, and fellow interns, the intern will improve a real workflow and deliver a tested, documented solution that the business can own after the program. Depending on eligibility, performance, and available roles, interns may be considered for a return internship or full-time opportunity. Assignments may involve service operations, finance, connected services, contracts, warranty, parts, supply chain, or customer and dealer experiences. The intern will work with stakeholders and business and technical partners to understand processes, explore data, identify improvement opportunities, develop and test practical digital or AI-assisted solutions, and support adoption and handoff. Solutions may include a prototype, form, workflow, application enhancement, analysis, knowledge solution, or another digital improvement. The intern will document quality checks, human-review steps, and implementation guidance so the resulting asset or process is ready for continued business ownership.

Requirements

Pursuing a Bachelor’s or Master’s degree; for legal jobs, pursuing a Juris Doctor degree or Doctor of Law degree (J.D.).
Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (U.S. Citizen, Legal Permanent Resident, Refugee, or Asylee) to be employed in the United States.
Able to work 12 weeks full-time over the summer.
Ability to map a process, work with data, test results, document work, and learn new tools or business domains quickly.
Critical thinking and structured problem-solving abilities.
Strong communication skills and ability to work collaboratively in a team environment.
Sound judgment when working with data, analytical results, and AI-assisted outputs.

Nice To Haves

Pursuing a degree in business analytics, data science, computer science, information systems, engineering, industrial engineering, supply chain, finance, economics, design, or a related field.
At least sophomore standing for undergraduate students at the time of application.
Coursework, project, internship, or practical experience in analytics, process improvement, design, software development, automation, or related areas.
Self-starter with an entrepreneurial mindset and ability to work through ambiguity.
Familiarity with Microsoft Office, Excel, Power BI, SQL, Python, workflow automation, UI/UX tools, or AI-assisted technologies.

Responsibilities

Meet with stakeholders to understand workflows, document current processes, identify users and pain points, and translate business needs into clear requirements and measures.
Explore business and operational data, evaluate current processes, and identify opportunities to reduce delay, rework, manual effort, or inconsistent decisions using analytics, automation, digital tools, or AI-assisted approaches.
Collaborate with business and technical partners to develop a practical prototype, form, workflow, application enhancement, analysis, knowledge solution, or other digital improvement.
Test digital solutions and validate analytical or AI-assisted outputs, identify issues, incorporate user feedback, and document quality checks and human-review steps while following approved-tool, security, and data-handling guidance.
Support implementation and ongoing improvement by creating documentation, a runbook or standard operating procedure, training materials, a backlog, and clear next steps.
Share progress through regular check-ins; participate in onboarding, digital and AI learning, peer sessions, and business exposure activities; and present work at a final showcase.