Internship Lab Automatization & Data Analysis

At Henkel, you can be a game changer and craft your career. Unleash your entrepreneurial spirit by bringing your ideas to life within a global team. Our leading brands and technologies, along with our high-performing businesses will provide you with countless opportunities to develop your skills and explore new paths. Your career at Henkel will contribute to a more sustainable future, while you grow within our vibrant, diverse culture of trust and belonging. If you're up for challenging the status quo, join our team of pioneers and make your mark on the future with us.

Do you dare to make an impact?

• You will have the opportunity to work with the digital team in international R&D community of Laundry and Home Care
  
• From day one you will take responsibility for the project and drive the digitalization at Henkel
  
• You will plan, conduct, and implement lab automatization project focused on the field of detergent development
  
• Your role is the end-to-end implementation starting with data acquisition, data processing, and development of data analysis procedure
  
• You will contribute to the Henkel digital transformation by supporting the digital team in change management and lab digitalization initiative

• Student who has successfully passed first semesters of mathematics, physics, computer science, chemistry, or nature science
  
• Fluent English language skills, German language skills are advantageous
  
• Knowledge in programming and ML modeling (Python)
  
• Knowledge in advanced image analysis (like IIC)
  
• Team-oriented person with the ability to work at a high level of independency
  
• Leverage public-available knowledge / resources for upskilling
  
• Starting date as of September for six months

We offer you an attractive salary between € 800-1960 gross per month. The exact amount of the remuneration depends on the desired duration, the type of internship (voluntary or mandatory) and existing degrees.

Henkel is an equal opportunity employer. We evaluate qualified applicants without regard to gender, origin, culture, mindset, generation, disability, religion and sexual orientation.