Operations Digitalization Internship: Paint Shop & AI Tools

Mercedes-Benz Group AG; Vance (AL); On-site; USD 20,000 - 29,000; Part time

Benefits offered by this job

Visa costs covered

Housing bonus $700

Paid internship – $18 hourly

Job summary

Mercedes-Benz U.S. International, Inc. in Alabama is offering a paid internship focused on data analytics and digitalization for the Paint Shop.

You will review and implement digital systems, collaborate with cross-functional teams, and create Power BI and Ignition visualizations for production and business processes. Ideal candidates are university students in Industrial, Mechanical or Electrical Engineering with at least three semesters, plus programming experience.

Qualifications

• Currently enrolled in university with at least 3 semesters in a relevant field.
• Studying Industrial, Mechanical or Electrical Engineering or related field; programming experience helpful.

Responsibilities

• Review and implement digital systems to support Paint Shop operations.
• Collaborate with cross-functional teams to improve operational transparency and visibility.
• Create and enhance Power BI and Ignition visualizations for production and business processes.
• Develop reporting tools for cost, cycle time, fault, OEE, and quality metrics.
• Support digitalization initiatives to improve process monitoring and decision-making.
• Assist with AI-supported tools within Paint Shop operations.
• Participate in daily status reviews and workshops.

Skills

Programming

Business Analytics

Data Visualization

Power BI

Excel

Databases

Education

Student in Industrial Engineering, Mechanical Engineering, Electrical Engineering or related field

Tools

Power BI

Excel

Databases

Job description

Mercedes-Benz U.S. International, Inc. in Alabama is offering a paid internship focused on data analytics and digitalization for the Paint Shop.

You will review and implement digital systems, collaborate with cross-functional teams, and create Power BI and Ignition visualizations for production and business processes. Ideal candidates are university students in Industrial, Mechanical or Electrical Engineering with at least three semesters, plus programming experience.