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Intern - Data Science

vor 3 Monaten

Zürich ZH, Schweiz On AG Vollzeit

‹ Back to jobs Intern - Data Science

Locations: Berlin, Zurich

Apply for this roleTechnologyTechnology In short

Whether you’re looking to jump start your career or gain first hands-on experience in the field, an internship at On offers you a unique growth experience, the chance to make an impact from day 1 and contribute to On’s growth journey. We are looking for fresh ideas, curious minds and passionate individuals ready to make a difference. Our internships generally last 6 months and you will be fully embedded in a team.

  • Start date: October 1st, 2024
  • Duration: 6 months
  • Prerequisite: Interest and some knowledge in area relevant to the internship, passion for On, right to work in EU / Switzerland
  • Note: This is a paid internship
Your Mission

In your 6 months internship program in our Data Science team, you will:

  • Contribute to build future-proof data products that drives strategic decisions
  • Have the opportunity to be exposed to MLOps techniques and tools like Vertex AI
  • Focus on customer and marketing science for strategic insights and activation
  • Test, learn, model and experiment for data-driven decision making
  • Have the opportunity to experiment with and build machine learning models to strengthen our predictive capabilities
  • Have the chance to conduct statistical inference and causal impact to measure effectiveness of a marketing campaign, brand moment or new product launch.
  • Document and present your findings and help us build an insights repository
Your story
  • You have good command in R or Python and have done some small projects in the past
  • intermediate knowledge in statistics or data science is needed
  • You’re interested in statistics, mathematics, data science or machine learning
  • You’re motivated to work in a digital/e-commerce eco-system
  • You’re passionate about learning new technologies and getting to know a modern tech stack

Bonus: You have worked with Machine Learning Engineering and deploying models into production