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Location
In office (Bursa)
Seniority
Intern
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Sponsors visas in United States, United Kingdom; no register of this country names it
Employment
Internship

Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 5, 2026. Bosch scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Bosch is a German engineering and technology group founded in Stuttgart in 1886 by Robert Bosch as a workshop for precision mechanics and electrical engineering. It is the largest automotive supplier in the world, making braking, steering, powertrain, sensor and driver assistance systems for nearly every carmaker, and it also produces power tools, home appliances through BSH, industrial drives through Rexroth, and building security and heating systems. Around ninety per cent of the company is owned by a charitable foundation, an ownership structure that gives it unusual freedom to invest across long research cycles including semiconductors and hydrogen.

Let’s turn visions into reality. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility or industry. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

Your Contribution to Something Big

  • Support data analysis and reporting across material management, planning, logistics, and repair processes
  • Collect, process, and analyze data to support data-driven decisions and process improvements
  • Create reports and interactive dashboards using Power BI or Tableau to monitor KPIs and operational performance
  • Contribute to process digitalization, data modeling, and workflow automation using Python and other digital tools
  • Take part in AI and machine learning projects, including predictive analytics and anomaly detection
  • Collaborate with cross-functional teams to identify improvement opportunities and implement data-driven solutions

What Distinguishes You

  • 3rd or 4th-year undergraduate or postgraduate student in Industrial Engineering, Information Systems Engineering, Computer Engineering, Software Engineering, or related fields
  • Strong interest in data analytics, AI, machine learning, and digitalization
  • Familiarity with Power BI or Tableau for data visualization and reporting
  • Basic knowledge of Python, SQL, and data modeling
  • Familiarity with Agentic AI concepts or applications is an asset
  • Good communication and teamwork skills
  • Very good command of English
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