An application made for this job — a tailored resume and cover letter that speak straight to the posting.
BMW Manufacturing Co., LLC in Spartanburg, SC, a leading automotive manufacturer, seeks an Innovation and Digitalization Co-op for Spring 2027 to contribute to a digitalization strategy focused on Generative AI, Data, Robotics, and Virtualization. The role combines analytical work with practical project management and cross-functional collaboration on real-world BMW initiatives.
The internship requires enrollment as a student in the United States, a minimum GPA of 3.0, and the ability to work
A good student experience is never hands-off. We are dedicated to fostering a dynamic learning environment where students actively engage in practical experiences throughout their time with us. From the beginning, students are entrusted with specific responsibilities, ensuring they play a significant role in their learning journey. As valued team members, students are also encouraged to share and implement their own ideas, enhancing both their personal growth and the collective success of the team.
Description:
The key objectives of this position are to further innovation development at BMW with a focus on a digitalization strategy. The strategy focuses on Generative AI & Data, Robotics & Automation, and Virtualization. The position also may utilize analytical, statistical and programing skills to discover insights from structured and unstructured data to help shape or meet specific business needs and goals.
The qualified intern/Co-op should expect to contribute & improve in the following functions:
Qualifications:
BMW Manufacturing Company is an equal opportunity employer. It is the policy of BMW MC to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
20260827
Automotive
Spartanburg, SC
United States
Legal Entity:
BMW Manufacturing Co., LLC
Location:
Spartanburg, SC
Job Field:
Data Science
Job Id:
190505
Publication Date:
27.08.2026
Internship
Full-time