Smart Start BPS Method Engineer

SmartRecruiters, Inc.; Osmangazi; On-site; TRY 134,000 - 201,000; Full time

Job summary

Bosch Turkey is inviting a Smart Start BPS Method Engineer trainee to support the Bosch Production System team in continuous improvement, digitalization, and data-driven operational excellence. You will create Power BI dashboards, participate in lean projects on the shop floor, and collaborate with production teams and cross-functional colleagues while developing new skills.

This internship suits a 3rd or 4th-year Industrial or Computer Engineering student with strong English and a hands-on

Qualifications

• 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; 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.

Responsibilities

• Support 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

Skills

English proficiency

Lean manufacturing

Data analytics

Teamwork

Education

Undergraduate Industrial/Computer Engineering

Tools

Power BI

SQL

Python

MS Office

Job description

Company Description

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.

Job Description

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

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