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Interniship Packaging Technologies(m/w/x)
Analyzing and structuring packaging test results for ML model development. Bachelor's or Master's degree in engineering required. Flexible work scheme, hybrid model.
Requirements
- Bachelor or Master degree in packaging, mechanical or plastic engineering
- Practical or international experience (e.g. internships, semester abroad)
- Fluent English language skills
- German and other languages advantageous
- Firm knowledge of MS-Office applications (Excel, PowerPoint)
- Basic experience in packaging specification
- Basic experience in data analysis and visualization
- Basic machine learning understanding
- Strong communication skills
- Strong analytical skills
- Self-motivated
- Creative
- Open-minded team-player
- High level of independence
Tasks
- Collect historical packaging test data
- Organize and sort data from multiple sources
- Analyze and structure test results
- Develop ML models (Random Forest, XGBoost)
- Evaluate ML models for storage test outcomes
- Contribute to hybrid AI models
- Integrate physics-based equations with ML techniques
Education
- Currently in higher education
Languages
- English – Fluent
- German – is a plus
Tools & Technologies
- MS-Office
- Excel
- PowerPoint
Benefits
Flexible Working
- Flexible work scheme
- Flexible hours
- Hybrid work model
Diverse Work
- Diverse growth opportunities
Mental Health Support
- Global wellbeing standards
Healthcare & Fitness
- Health and preventive care programs
Informal Culture
- Global Experience
Team Events
- Interns Community
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Interniship Packaging Technologies(m/w/x)
Analyzing and structuring packaging test results for ML model development. Bachelor's or Master's degree in engineering required. Flexible work scheme, hybrid model.
Requirements
- Bachelor or Master degree in packaging, mechanical or plastic engineering
- Practical or international experience (e.g. internships, semester abroad)
- Fluent English language skills
- German and other languages advantageous
- Firm knowledge of MS-Office applications (Excel, PowerPoint)
- Basic experience in packaging specification
- Basic experience in data analysis and visualization
- Basic machine learning understanding
- Strong communication skills
- Strong analytical skills
- Self-motivated
- Creative
- Open-minded team-player
- High level of independence
Tasks
- Collect historical packaging test data
- Organize and sort data from multiple sources
- Analyze and structure test results
- Develop ML models (Random Forest, XGBoost)
- Evaluate ML models for storage test outcomes
- Contribute to hybrid AI models
- Integrate physics-based equations with ML techniques
Education
- Currently in higher education
Languages
- English – Fluent
- German – is a plus
Tools & Technologies
- MS-Office
- Excel
- PowerPoint
Benefits
Flexible Working
- Flexible work scheme
- Flexible hours
- Hybrid work model
Diverse Work
- Diverse growth opportunities
Mental Health Support
- Global wellbeing standards
Healthcare & Fitness
- Health and preventive care programs
Informal Culture
- Global Experience
Team Events
- Interns Community
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Henkel
Industry
Manufacturing
Description
Das Unternehmen gestaltet die Zukunft von Produktionsstandorten durch Digitalisierung und innovative Ingenieurlösungen.
Not a perfect match?
- Henkel AG&Co.KGaA
Internship Packaging Activity(m/w/x)
Full-timeInternshipWith HomeofficeDüsseldorffrom 1,050 - 2,270 / month - Henkel
Internship Global Packaging Compliance(m/w/x)
Full-timeInternshipWith HomeofficeDüsseldorffrom 1,050 - 2,270 / month - Henkel Consumer Brands
Internship Industrial Design/Packaging Design(m/w/x)
Full-timeInternshipWith HomeofficeDüsseldorffrom 1,050 - 2,270 / month - Henkel
Internship PPWR & Sustainable Packaging Compliance(m/w/x)
Full-timeInternshipWith HomeofficeDüsseldorffrom 1,050 - 2,270 / month - Henkel AG&Co.KGaA
Internship Marketing and Product Innovation(m/w/x)
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