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John Deere 50879455 - Praktikant/ Graduand (m/w/d) für den Bereich Advanced Manufacturing - maschinelles Lernen in Mannheim, Germany

There are 7 billion people on this planet. And by 2050, there will be 2 billion more... many moving into urban centers at an unprecedented rate. Making sure there is enough food, clothing and infrastructure for our rapidly growing world is what we’re all about at John Deere. And it’s why we’re investing in our people and our technology like never before in our 180-year history. Here the world’s brightest minds are tackling the world’s biggest challenges. With 74.000 employees worldwide, we achieve a total net sales and revenues of more than 37 billion USD.

Our Advanced Manufacturing - Simulation, Optimization & Data Analysis department is looking for an

Intern (male/female/other)

(Start: October 2020 for a period of up to 6 months)


  • Explore opportunities to apply Machine Learning algorithms in different areas

  • Develop Machine Learning models in Python or R

  • Team up with other Machine Learning experts in India, Mexico and the United States

  • Support in Presentation Creation

  • Autonomous Project Execution


  • Studies in Engineering, Data Science or Computer Science

  • Very good knowledge of the main Machine Learning Techniques and Algorithms

  • Very good programming skills in Python and/or R

  • Autonomous and Independent Work Style

  • Very good knowledge in MS Office Applications

  • Fluent German and English

John Deere offers students:

  • Working in an international environment

  • Creative space in projects

  • 35 hours per week

  • 50% discount at the cafeteria

  • Interns meet

  • Public transport connections

  • Factory tours

This internship offers an extensive insight into the daily work in a globally operating organization. Due to your involvement in on-going projects, we make sure that you gain important expertise and practical project experience. At the end of your internship you receive feedback for your personal development from us.

Do you want to discover diverse facets of a globally successful producer of agricultural machinery and to get to know its organization and processes?

We look forward to your online-application with complete documents attached:

  • Proof of matriculation; details of the course being studied, including proof that internship is mandatory Information about period of time (study regulations)

  • Curriculum vitae

  • Current overview of grades

  • Relevant certificates

We wish you good luck with your application!