Paid Internship in Data Science – Operations Research - 6 Months (m/f/x)

Job Location

Petit-Lancy

Job Description

Get hands-on into the details of Data Science, using advanced Operations Research and optimization techniques, big data platforms and data visualization to discover solutions to problems requiring tremendous creativity. Partner with business leaders to fully understand the problem, and data engineers to automate & deploy your models into applications providing prescriptions to Sales, Marketing and Supply Chain executives - that allow P&G to serve consumers worldwide in a better way.

This internship position will allow you to kickstart your Data Science career:

• Report to a senior data scientist and collaborate within a Data Science and Analytics team, part of P&G’s global Data Science organization.
• Propose solutions that inform decision-making for key business challenges, applying advanced operations research methods and automating the analysis of complex problems
• Discover next-generation analytic capabilities - being directly in touch with our category analysts and senior business leaders.
• Team-up with technology partners to translate your innovations into robust, scaled, analytic solutions
• Participate and improve your skills via P&G's analytic capability program
  
  

Job Qualifications

• Enthusiasm and curiosity about the intersection of business, technology, and data, with a particular interest in Operations Research.
• You are doing a Master’s degree in a quantitative field (Operations Research, Data Science, Computer Science, Engineering, Applied Math, Statistics, Analytics etc); with a major or minor in Operations Research and optimization techniques.
• You have started getting proficient in Python and Data Science / Operations Research techniques - and want to broaden your knowledge by applying them in practice.
• You are comfortable working with diverse business scenarios, handling multiple priorities and have a business & consultancy mind-set, while being technically (data) savvy.
• Passion to try new things, learn quickly and work well with diverse backgrounds- Excellent interpersonal skills, self-motivated, dynamic and can-do attitude
• English required (written and oral)
  
  

Job Schedule

Full time

Job Number

R000123553

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