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IT Intern (Data Science), P&G Management Internship - Master's Degree or above

Salary undisclosed

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Are you a data-savvy strategic player who yearns to make a lasting impact by solving critical business questions for a global industry leader using data, science and technology? P&G Data Science team is looking for a curious and confident soul who loves cutting-edge technologies, has a solid foundation on computer science, statistics or mathematics, excellent in communicating, and passionate to lead and make things happen!


Our mission is clear- we deliver technology to help win with consumers. Our Data Scientist are diverse business leaders who apply technological skills to deliver ground-breaking business models and capabilities. Whether your role is to build an IT innovation strategy for a business, protect our critical information systems and assets, or lead a strategic supplier in our cutting-edge shared services organization, your technical skills will be recognized and rewarded.


What We Offer

Our internship program allows you to gain practical hands-on experience with industry leading analytical tools and technologies from Day 1. You’ll be working with passionate cross-functional teams, all while receiving both formal trainings and day-to-day mentoring from our IT and Data Science professionals.


Internship Projects Typically Revolve Around the Following:

  • Opportunity to be on the central data scientist team taking on supply chain, retail and media analytics problems that are general across brands, or you’ll be in the embedded data scientist team addressing eCommerce and consumer problems and being very close to a brand.

  • Tasked on real-life projects and responsibilities from Day 1 – understand business objectives and generate impactful insights by investigating datasets of point-of-sales, geospatial, product & supply, DTC, CRM, TV media, online search, etc from more than 10 countries across the region.

  • Build, validate, test and deploy machine learning or other data science models into our IT platforms.