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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

20Open Positions

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IT Internship or Bachelor/Master Thesis

Procter & Gamble
Found 2 months ago
Location
Schwalbach Am Taunus, Germany
Duration (Months)
6 Months
Time
Full-time
Work Mode
Not disclosed
Salary
2,500€
Visa Help
Not disclosed
Last Verified
2 months ago

Education

  • Bachelor
  • Master

Skills & Qualifications

Technical Skills

  • technology
  • IT
  • Computer Science
  • Informatics
  • Management/Business Information Systems
  • Industrial Engineering
  • Operations Research
  • Supply Chain
  • Machine Learning
  • AI
  • Data & Analytics

Soft Skills

  • curiosity about both business and technology
  • leadership
  • interpersonal skills
  • analytical skills

Job Description

As an IT professional at P&G you will be leading impactful work in either of the following areas that enables you to further expand your knowledge and to build on your skills. * End to End Supply Chain – from planning and manufacturing to storage and distribution of our products, you can work on projects that enable the digital transformation of our supply chain processes * Industry 4.0 – step into the space of Machine Learning and AI algorithms leveraging OT data from our industrial sites to drive cost reductions, quality improvements and environmental sustainability goals * Commercial Domains – deep dive into a brand category and enable its further growth in the digital market space * Data & Analytics – data is the new gold and, in the D&A space you work across business domains from technical to commercial focus areas and make the best use of the data to drive insights and better decision making

Requirements

  • student with good academic results from any academic subject area, but with an affinity and passion for technology or IT
  • degrees in Computer Science, Informatics, Management/Business Information Systems, Industrial Engineering, Operations Research or similar
  • strong curiosity about both business and technology
  • strong leadership and interpersonal skills
  • outstanding analytical skills
  • strong English language skills (German is considered an asset)

Related Field

  • Software Engineering

Related Subfield

  • IT & Support

Languages

  • English

Nice to Haves

  • German
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