Production Digitalization Intern (Data / Computer Science)

About the role

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.

Responsibilities

• Support the ramp-up of BMW’s next-generation battery production by developing digital solutions that improve quality, efficiency, traceability, and operational transparency.
• 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.

Requirements

• A BA/BS Degree in Computer Science, Data Science, Mathematics, Mechanical Engineering or similar degree.
• Exceptional verbal and written communication abilities.
• An 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).
• 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.

Qualifications

• Must be available for the work term dates: May 18th – August 7th, 2026.