Global Data Science Intern
About this role
Global Data Science Intern
Project Objective Actively contribute to the development of end-to-end analytical solutions for real business use cases in the Supply Chain domain, covering the full lifecycle from data exploration and modeling to production deployment and result consumption, with technical mentorship and guidance from the Global Data Science team.
Challenges for the Students
- Understanding and translating real business problems into data driven solutions.
- Working with complex, large scale datasets and ensuring data quality, consistency, and reliability.
- Generating tangible business value.
- Developing analytical solutions that go beyond experimentation, considering scalability, maintainability, and usability.
- Collaborating effectively within a multidisciplinary, global team and adapting to agile ways of working.
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