Working Student Data Science - AI/IoT (all genders) I Beiersdorf

  • Beiersdorf AG
  • Hamburg, Germany
  • 23/01/2023
Full time Data Science Data Analytics Statistics Biostatistics

Job Description

At Beiersdorf, we want to help people feel good about their skin – and our commitment goes far beyond caring for skin. For 140 years, we have developed innovative skin and body care products for well-known brands such as NIVEA, Eucerin, La Prairie, Hansaplast, and Labello. We act according to our purpose, WE CARE BEYOND SKIN, and take responsibility for our consumers, our employees, the environment and society.
Behind every brand, every product and every accomplishment are our more than 20,000 employees. It is for them that we live an inclusive culture of respect and trust that is strongly aligned with our values ​​- CARE, COURAGE, SIMPLICITY and TRUST. We also embrace diversity by evaluating the uniqueness of each individual and being committed to equal opportunities for all.

YourTasks

You will have the opportunity to gain experience in a dedicated team related to the following tasks:

  • Digital pioneering
  • Participation in the field of applied artificial intelligence
  • Support in the processing of large structured and unstructured data, their analysis and interpretation
  • Learning together with the team to recognize patterns using data mining and machine learning methods and to build forecasts from these patterns
  • Testing and interpreting the development of new analysis methods and the data obtained from them within research and development projects on the topics of AI, wearables, and Internet-of-Things

Yourprofile

  • Scientific studies in the field of physics, mathematics, statistics, computer science, business informatics, or similar
  • Properly enrolled during the entire working student activity
  • Scientific interest and understanding
  • Flexibility and team spirit
  • Good knowledge of German and English
  • Knowledge of data science techniques, Python and basic knowledge of programming with PyTorch. Knowledge about Azure Cloud is an advantage
  • Availability 2-3 days a week for a total of 20 hours a week

additional information

At Beiersdorf, we embrace diversity and aim to provide equal opportunities to all of our applicants – regardless of eg gender, sexual identity, nationality, ethnicity, religion or ideology, disability or age. We would therefore kindly ask you to include only information and data in your documents which are relevant for the assessment of your application (eg curriculum vitae with relevant references and certificates). For instance, please feel free to upload your CV without a picture. If you have any questions, please contact our recruiter Insa Köhnsen via Students_RC@Beiersdorf.com.