Company Description

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company that provides a wide range of branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers. Our products and solutions include labeling and functional materials, radio frequency identification (RFID) inlays and tags, software applications that connect the physical and digital, and a variety of products and solutions that enhance branded packaging and carry or display information that improves the customer experience. Serving an array of industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2023 were $8.4 billion. Learn more at www.averydennison.com.

Avery Dennison is an equal opportunity employer.

Please let us know if we can support you with reasonable accommodations throughout the application process by contacting our team via Requestaccomodation@eu.averydennison.com. 

Job Description

Do you want to put your engineering and analytical skills into practice in a diverse and global manufacturing company?

As a Data Science Intern, you will be responsible for improving and validating our predictive model. You will also collect new data, specifically viscosity measurements of PVC organosols with different formulations. These measurements are conducted in the lab and do not require prior experience in laboratory work. Once collected, you will preprocess the data and integrate it into the machine learning model. You will also re-train the model to enhance its accuracy and performance. Additionally, you will be responsible for creating an user interface and ensuring a smooth implementation of the model in the production area. This role offers a great opportunity to apply advanced machine learning techniques and data analytics in a practical setting, contributing to the optimisation of our production processes.

Your main responsibilities will be: 

• Collect viscosity measurements of PVC organosols
• Preprocess and integrate collected data into the machine learning model
• Retrain the predictive model to improve its accuracy and performance
• Develop and implement an user interface for the model
• Ensure smooth integration of the model in the production area
• Monitor and maintain the performance of the model (prepare)

The preferred start date is 1st October 2024 or earlier. The ideal candidate is available 4 to 5 days a week for 6 months. The location of the position is our site in Alphen aan den Rijn. This is a hands-on internship experience which involves lots of lab work and requires working from the site physically.

Qualifications

What kind of candidate are we looking for? 

• Currently following a Bachelor or Master degree in Computer Science, Data Science, Mathematics or related field
• Advanced understanding of machine learning algorithms and techniques
• Proficiency in Python and familiarity in relevant libraries
• Understanding of Chemistry or Chemical Engineering is a plus
• Someone with good communication skills in English
• Someone who is independent and can lead their own projects

Additional Information

Our offer

• 550 euros per month compensation on a full-time basis
• Commuting allowance (if applicable)
• Specific training offerings during your internship to support your development
• Team-oriented and highly international environment, in which you get responsibility and the possibility to test your talents

Important: Only applications in English will be considered! Applicants need to be enrolled at a Dutch university for the whole duration of the internship.

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Note: We do not accept unsolicited referrals or resumes from any source other than directly from candidates using their personal email addresses.