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Procter & Gamble

Data Science Internship

Procter & Gamble
Belgium · Full-time · Internship

Do you have passion for technology and desire to learn and grow continuously? Do you want to belong to one of the most advanced Data Science & Analytics group in the industry, developing sophisticated mathematical models and algorithms and applying Operations Research techniques?

Then join P&G as a Data Science intern for Supply Chain! Through your internship, you will build your Data Science and Analytics skills, develop your ability to influence and think strategically and learn how to work across domains and functions to make P&G’s supply chain more performant, more resilient and more sustainable.

Find out more about IT at P&G at www.youtube.com/watch?v=1ial3aeA9SE.

AS A DATA SCIENCE FOR SUPPLY CHAIN INTERN, YOU WILL:

  • Influence decisions from daily through to strategic ones, made across functions, at all levels of leadership, to have a meaningful impact on the performance, resiliency and environmental footprint of one of the largest CPG companies in the world;
  • Build the next generation of supply chain analytics, using:
    • Mathematical modeling techniques: decision analysis, optimization, machine learning, simulation etc.;
    • Programming languages (at least one of these): Python, SQL, R, Hive/Impala, MATLAB, etc.;
    • Data Visualization: Power BI, Tableau, etc.
    • Work with technology partners to translate your innovations into robust, scaled, analytical solutions;
    • Communicate insights from complex data or algorithms into simple conclusions that will empower others to act based on the insights you derive;
    • Belong to an award-winning Analytics / Operations Research community that is global in scope and operates across P&G’s supply chains.

    Key Skills

    Ranked by relevance

    machine learning simulation power bi tableau python matlab sql
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    Posted
    Jul 02, 2025
    Type
    Full-time
    Level
    Internship
    Location
    Brussels

    Industries

    Manufacturing

    Categories

    Engineering Information Technology

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