Internship - Data Science (HIVE)

Hive Wageningen

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Unilever

At Unilever we meet everyday needs for nutrition, hygiene and personal care with brands that help people feel good, look good and get more out of life.

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Are you a student and interested in working at our Unilever Foods Innovation 
Centre in Wageningen? Is your passion in packaging, processing or nutrition? Or are you the next data science or formulation guru? Most importantly, are you 
looking for an exciting internship? Join us at Hive!


HIVE is Unilever’s Foods Innovation Centre and home to the product innovations of some of the world's favorite food brands like Knorr and Hellmann's. We offer you a dynamic environment in which people with energy, creativity and passion work together. There are good opportunities to pursue your professional and personal goals and develop yourself on national and international level. 


Want to get an idea of what’s cooking in the Hive? Go check more information here.


As an R&D Intern at Hive focusing on Data Science your key responsibilities & accountabilities could be (amongst others):


• Work on toolbox/model development for seasoning
• Development of digital knowledge tools 
• …And many more interesting tasks & topics to give you the best possible learning experience!

What we offer:


• An internship allowance of €625,- gross per month; 
• A travel allowance if you don’t have a student travel card; 
• An exciting internship program with your fellow interns, such as an onboarding event and fun (virtual) activities;
• The possibility to develop your personal and business skills via our extensive range of training programmes;
• A flexible way of working;
• A unique opportunity to look behind the scenes of one of the largest FMCG companies in the World!


What we ask:


• You are available for 5 or 6 months from February - March 2025 (at least 32 hours a week);
• You must be enrolled as a (3rd or 4th year) Bachelor or Master student;
• A study in food technology, computer science, IT or data science;
• Ideally with some training (courses) related to sensory or food pairing;

• You have a great passion for foods & you’re analytically strong;
• Fluent in English; both oral and written

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Tags: Computer Science ML models R R&D

Perks/benefits: Career development Flex hours

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