Smart Start BPS Method Engineer
Коротко
Supports the Bosch Production System team with digitalization, Power BI dashboards, and AI/LLM-based solutions. · Needs: 3rd or 4th-year undergraduate in Industrial or Computer Engineering; very good English.
Описание от работодателя
{"sections": {"companyDescription": {"title": "Company Description", "text": " 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.
"}, "jobDescription": {"title": "Job Description", "text": " Your Contribution to Something Big
As a Smart Start BPS Method Engineer, you will support the Bosch Production System (BPS) team in continuous improvement, digitalization, and data-driven operational excellence activities.
Support the digitalization and continuous improvement of the Improvement Suggestion System
Create Power BI dashboards and digital solutions to visualize and track BPS activities and performance
Take part in shopfloor continuous improvement activities, workshops, and BPS projects
Support the development and maintenance of internal digital collaboration and knowledge-sharing platforms
Contribute to AI and LLM-based solutions that improve knowledge accessibility and efficiency in daily work
Support the development and improvement of BPS methods, standards, and ways of working
Contribute to digitalization projects that improve process transparency and operational efficiency
Collaborate with BPS experts, production teams, and cross-functional stakeholders on lean manufacturing and continuous improvement activities
"}, "qualifications": {"title": "Qualifications", "text": " What Distinguishes You
3rd or 4th-year undergraduate student in Industrial Engineering or Computer Engineering
Very good command of English, both written and spoken
Proficient in MS Office tools; familiarity with Power BI is an asset
Basic programming and data analysis knowledge; familiarity with SQL and/or Python is an asset
Strong interest in lean manufacturing, continuous improvement, digitalization, data analytics, and AI
Curious, proactive, and eager to learn and develop new skills
Strong communication, collaboration, and teamwork skills
"}, "additionalInformation": {"title": "Additional Information", "text": ""}}}