Internship in Data Science / Power BI

Reutlingen, BW, Germany

Bosch Group

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Company Description

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference.

The Robert Bosch GmbH is looking forward to your application!

Job Description

  • As a member of our team, you will contribute to optimizing processes and driving Data Science initiatives in our eBike NVH laboratory.
  • Your primary responsibility will be the development of dashboards using MS Power BI to effectively visualize and communicate our measurement data and results.
  • Furthermore, you will improve our existing data pipelines with respect to UX and speed.

Qualifications

  • Education: studies in the field of Computer Science, Electrical Engineering, Mathematics, Engineering or comparable
  • Experience and Knowledge: advanced knowledge in databases (MySQL), Python, and proficiency in MS Power BI
  • Personality and Working Practice: you demonstrate excellent communication and collaboration skills, complemented by a structured and autonomous working style, along with a strong sense of initiative and adaptability
  • Enthusiasm: for IT, handling Big Data challenges and data-driven problem solving
  • Languages: fluent in German and/or English

Additional Information

Start: according to prior agreement
Duration: 6 months

Requirement for this internship is the enrollment at university. Please attach your CV, transcript of records, enrollment certificate, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Thomas Alber (Functional Department)
+49 152 59432429

#LI-DNI

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Tags: Big Data Computer Science Data pipelines Engineering Mathematics MySQL Pipelines Power BI Python Spark UX

Region: Europe
Country: Germany

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