Production Digitalization Intern (Data / Computer Science)

A good student experience is never hands-off. We are dedicated to fostering adynamic 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:

• Develop AI-enabled applications for BMW's Digital Twin Platform, work directly with manufacturing experts, and help shape the future of battery production and electric mobility.
• Support the ramp-up of BMW’s next-generation battery production by developing digital solutions that improve quality, efficiency, traceability, and operational transparency.
• Help shape BMW’s Digital Twin platform, connecting data, processes, equipment, and people into a unified digital environment used to optimise factory operations.
• Build full-stack applications using modern software engineering practices, AI-assisted development tools, and intelligent automation technologies.
• Leverage technologies such as Microsoft Copilot and emerging AI tools to accelerate development and deliver innovative digital solutions.
• Work directly with experts across production, quality, logistics, maintenance, and engineering to solve real-world manufacturing challenges.
• Take ownership of projects from concept to deployment, presenting outcomes to stakeholders and plant leadership.
• Contribute to the rollout of digital solutions across BMW’s global production network and gain exposure to international projects and best practices.
• Help build the digital foundation that supports the future of BMW’s electric mobility production system. 
• Performs other duties as assigned by management.

The qualified intern should expect to contribute to improvements in the following functions:

• Conduct research and conceptualize new ideas.
• Support project management and coordination of plans for related projects.
• Coordinate and support focused, community-based events and initiatives.
• Collect, analyze, and interpret information to evaluate the landscape against business strategies.
• Stay abreast of best practices and recommend relevant initiatives for activities and actions.
• Provide regular input on enhancing processes and practices.
• Support the organization’s vision, strategy, priorities, and roadmap.
• Partner with stakeholders to enable successful prioritization, development, delivery, and adoption of program goals.
• Create PowerPoint slide decks for presentations and support preparation for meetings.
• Participate in project team meetings.
• Provide general administrative support.
• Schedule the use of meeting room facilities on an as-needed basis.
• Perform other administrative duties and special projects as assigned by project team members.

Qualifications:

• BA/BS Degree in Computer Science, Data Science, Mathematics, Mechanical Engineering or similar degree
• Communication Skills: Exceptional verbal and written communication abilities.
• Innovative Mindset: A proactive approach with creativity, project management capability, and a knack for entrepreneurial thinking.
• Technical Proficiency: Programming experience with a preference for Python & JavaScript skills and basic understanding of cloud architecture deployment.
• Database Knowledge: A grasp of using SQL databases is beneficial.
• Analytical Expertise: Adept in areas such as data mining, machine learning, statistical signal processing, and pattern recognition.
• Possess a minimum cumulative GPA of 3.0 (not just in major).
• Have enrolled student status at an accredited four-year college or university in the United States.
• Good organization and project management skills.
• Good communication and presentation skills in English and preferably German.
• Completed at least 30 credit hours at time of application.
• Ability to work full-time on-site (40 hours / week).
• Transfer students must have a GPA from current university.
• MUST ATTACH A COPY OF UNOFFICIAL TRANSCRIPT
• Complete and pass a substance abuse test before the work term.
• THE WORK TERM DATES ARE May 18th – August 7th, 2026.