Internship Data Analytics (all genders)

Posté 08 mars 2024

Darmstadt, Hessen - Germany

Demander un identifiant 271035

 

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

 

Everything we do in Electronics is to help us deliver on our purpose of being the company behind the companies, advancing digital living. We are dedicated to being the trusted supplier of high-tech materials, services and specialty chemicals for the electronics, automotive and cosmetics industries. We foster a global collaborative organization made up of individuals who have the passion to win, obsess about the customer, are relentlessly curious and act with urgency. Together, we push the boundaries of science to make more possible for our customers.

 


Your Role:
You would be part of the Electronics business sector with focus on data analytics. As a student, you are expected to support our teams with your engineering and data analytics capabilities which execute analytics projects and develop learnings to solve our business problems. This includes tasks such as data cleaning and arrangement, gaining process knowledge by process mapping, applying statistical, machine learning and other modelling methods, presentation of results, coordinating between process and data experts for the project. You are also expected share your learnings and knowledge throughout the team and the company.


 
Who You are:
-    Strong background in Chemical/Process/Process Systems Engineering disciplines
-    Programming skills, e.g., Python, MATLAB, R
-    Experience in process modeling and optimization
-    Interest towards machine learning and artificial intelligence applications in process industry
-    Excellent written and oral communication skills in English

 



What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
 
Apply now and become a part of our diverse team!

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