European Graduate Program - Data Science (Operations & Supply Chain) in Gotha bei Avery Dennison Materials Europe

Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company that provides branding and information labeling solutions, including pressure-sensitive materials, radio-frequency identification (RFID) inlays and tags, and a variety of converted products and solutions. The company designs and manufactures a wide range of labeling and functional materials that enhance branded packaging, carry or display information that connects the physical and the digital, and improve customers’ product performance. The company serves an array of industries worldwide, including home and personal care, apparel, e-commerce, logistics, food and grocery, pharmaceuticals and automotive. The company employs approximately 36,000 employees in more than 50 countries. Reported sales in 2022 were $9.0 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 Talent Acquisition team via jobs@eu.averydennison.com

Are you looking for an opportunity to put your data science skills to use to solve concrete real-world problems? Are you eager to drive exploration into machine learning, big data and automation in a company that is just starting on its journey of Industry 4.0?

For the Data Science (Operations & SC) Stream of our 2-year-rotational European Graduate Program, we are looking for Graduates with a passion for discovering the information hidden in vast amounts of data. In this strategic role, you will work on varying assignments in partnership with the entire Supply Chain & Operations organization in its journey towards digitization and the Manufacturing For Future initiative.

Your main objective will be to understand the supply chain and operations processes and the problems these departments face, using your analytical mind to collect and deepen relevant data. You will also research, train and test models and modeling techniques suitable for problem-solving and deliver these results to the business in a tangible and consistent way.

Your responsibilities will include:

• Improve data collection procedures to include relevant information for building analytical systems, enabling problem-solving investigation
• Process, clean and verify the integrity of data used for analysis
• Research, train and test models, including feature selection, construction and optimization of classifiers, using predictive machine learning techniques
• Identify improvements to current processes and study future opportunities for the various functions
• Support strategic efforts to engage the entire organization in this space
• Build and maintain a strong working relationship with your key internal partners to support the growing use of data science to improve operational and financial performance
• Manage test cycles
• Provide training and coaching services to key users on the solutions built

While you are on this exciting journey, you will receive plenty of support along the way. Our Mentoring and Training Program, combined with on-the-job learning, will enable you to build your skills and transition from college to the corporate workplace, leveraging strengths and defining your career path.

Wondering what your career path will look like after completion of the program?

We are committed to your career long-term. Having successfully completed your rotations, you will have the opportunity to build your career your way. Grow vertically, change roles, try new things - we will support you in this process of finding the right permanent role, balancing your talents with our organizational needs.

More details about the program as well as the application process can be found here.

We are looking for agile problem-solvers who enjoy working in a dynamic and collaborative environment, and who are striving to make a difference by contributing their own strengths and ideas.

What we also expect you to have:

• You have completed or are about to complete a Master's degree in business analytics, mathematics, statistics, computer science, electrical/computer engineering or an equivalent degree with a specialization in data science
• You gained first relevant practical experience, preferably in an international manufacturing environment
• You have good English skills
• You have experience with at least one of the following: Python, R, STATA, MatLab
• You are familiar with common packages for data manipulation/munging, testing/analysis and visualizations
• You have good skills in applied statistics, such as distribu