IT Digital/AI Intern (Summer 2027)

Clarios•Glendale, AZ

1d•Hybrid

About The Position

The IT Digital/AI Intern will collaborate with the USCAN BRM team and business stakeholders to analyze business requirements and identify ways to use digital technologies and AI to improve operations. The intern will assist in designing, developing, and implementing digital solutions, AI models, and algorithms to address business challenges and opportunities, while researching emerging trends, tools, and techniques in AI, machine learning, and data science. The role includes gathering stakeholder feedback, iterating on solutions, and improving the performance and effectiveness of AI models and digital applications. The intern will work with cross-functional teams to integrate solutions into existing systems, processes, and workflows, support continuous improvement efforts, and approach complex problems methodically and critically. This is a hybrid internship for Summer 2027, up to 40 hours per week. The intern must be able to work in the greater Milwaukee area during the summer, maintain a quiet workspace for remote work, and stay in regular contact with the supervisor and team through virtual methods. Applicants must be authorized to work for any employer in the United States without sponsorship now or in the future.

Requirements

Currently enrolled as a full-time student at an accredited U.S. college or university.
Pursuing an undergraduate degree in IT, Computer Engineering, Data Science, or a related field.
Able to be in the greater Milwaukee area during the summer.
Must be authorized to work for any employer in the United States without sponsorship, now or in the future.
For hybrid work, must have a quiet workspace away from interruptions and be able to maintain regular contact with the supervisor and team through virtual methods.

Responsibilities

Collaborate with the USCAN BRM team and business stakeholders to analyze business requirements and identify opportunities to use digital technologies and AI to improve operations.
Assist in designing, developing, and implementing digital solutions, AI models, and algorithms to address business challenges and opportunities.
Research emerging trends, digital tools, and techniques in AI, machine learning, and data science.
Contribute to developing solutions and tools that drive innovation.
Gather stakeholder feedback, iterate on solutions, and continuously improve AI models and digital applications.
Work with cross-functional teams to integrate solutions into existing systems, processes, and workflows and support adoption and scalability.
Support ongoing continuous improvement efforts.
Approach complex problems methodically and think critically.