Company Description

Sika is a specialty chemicals company with a globally leading position in the development and production of systems and products for bonding, sealing, damping, reinforcing, and protecting in the building sector and transportation industry. More than 33,000 employees across 103 countries generated annual sales of CHF 10.5 billion in 2022.

Job Description

Are you a student or a fresh gruadate and interested to gain some practical experience in the field of Data Science? We are offering an interesting 6 months internship starting in September that can provide you just that! For this position you can either be based in Zurich or in Sarnen- depending on your preference. Just be aware that, if based in Zurich, you will have to travel to Sarnen occasionally.

What can you expect? Here is a selection of example assignments:

• Analyzing thermoplastic membrane aging along historical and simulated weather data
• Image analysis of UV exposed membrane and pattern recognition for micro-cracks
• OCR and NLP for location and product information extraction from project documentations

What do we offer?

• Dynamic and fun team
• Multicultiral environment
• Working with senior tech leads both chemical and machine learning domain
• Visibility to management if that is perceived motivating
• Well defined projects in case school requires formal documentations for credit(s)

Qualifications

Basic understanding of:

• At least one programming/scripting language
• Database technologies and a query language

Soft skills:

• Willingness to learn 
• Enjoyment of problem solving
• English language is needed, German knowledge is advantage

Additional Information

• Trust is the foundation of everything we do at Sika: we trust in the competence and capabilities of all our employees – every day.
• Built on a foundation of pioneering and entrepreneurial spirit, Sika empowers its people to propose and develop new ideas.
• For such a large company, we have a surprisingly flat hierarchy with direct decision-making processes and decentralized organizational units.