• Responsible for the development, evaluation and implementation of tools and methods with the focus on coding and programing in order to improve the manufacturing KPIs (OEE, Scrap reduction, CT, Productivity).
• Data mining or extracting usable data from valuable data sources.
• Development of algorithms for data processing and database management.
• Collaborate with cross-functional teams to develop end-to-end process over the whole value stream.
• Responsible for developing and the follow-up strategy and milestones of the Industry 4.0 Roadmap of the value stream.
• Perform cost / benefit analysis of the I4.0 solutions.

• Currently a student in Bachelor's degree in 1) Bachelor's or master's degree in data science, Computer Science, Computer Engineering, Mechanical, Mechatronic, Electrical, Automotive Engineering or related field

• Intermediate or Advanced in English
• experience in data analysis and data visualization software like Tableau, Power BI, etc.
• Experience with coding languages (VBA, Python, SQL database, Machine learning tools or similar
• Strong communication and presentation
• Strong problem-solving abilities and critical thinking skills
• Collaboration, working with cross-functional teams
• Interest in Engineering and Data science processes
• Initiative and creative mindset
• Knowledge on machine learning is beneficial
• Knowledge about manufacturing processes (optional)

Your advantages

You get a behind the scenes look into the workings of a global player - at your request outside Thailand. You are directly involved with the team and can gather practical, degree-related experience.

Working conditions

• Monday to Friday, 8:00 am. - 5:30 pm.

• Monthly allowance and housing allowance

• Free lunch & transportation

• Vacation eligibility: 1 day / month

Make it happen

Send us your application by using the I'm interested button!

Please include the following details with your application.

• Expected starting and ending dates of internship program

• Expected longest internship period e.g. 4 months or 5 months

• Deadline to get confirmation from Bosch

• Due to high volume of candidates, only shortlisted candidates will be contacted.