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Procter & Gamble Supply Chain Innovation Intern in Athens, Greece

Job Location

Athens

Job Description

Do you want to have a meaningful impact on the performance, resiliency and environmental footprint of one of the largest FMCG companies in the world?

The mission of the Supply Network Innovation Intern is to:

  • Influence decisions from daily ones through to strategic ones, made across functions, at all levels of leadership in a meaningful and impactful way.

  • Build the next generation of Supply Chain advanced algorithms, using:

  • Mathematical Modeling Techniques: decision analysis, optimization (preferred), machine learning, simulation etc.;

  • Programming languages (at least one of these): Python (preferred), SQL, R, Hive/Impala, MATLAB, etc.;

  • (Optional) Data Visualization: Power BI, Tableau, etc

  • Work in an agile team to translate your ideas 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 Supply Chain Innovation team that is global in scope and operates across P&G’s warehouses.

What we offer you:

  • Business responsibilities from Day 1 – You will start working on key brands from the beginning. Over time, as you expand your impact on the business, your responsibility and ownership of a brand will quickly grow.

  • External recognition for working in a state of the art Supply Network Operations organization– We will constantly help you improve your knowledge and management abilities.

  • Continuous coaching & mentorship– We are passionate about our work. We will make sure you receive both formal training and as regular mentorship from your manager and others.

  • Opportunity to work in a dynamic and respectful work environment – We live our Purpose, Values, and Principles daily. We value every individual and encourage initiatives promoting agility and work/life balance.

  • Competitive salary and benefits program. Regular salary revisions and possible promotions - all in line with your results, performance and potential.

Job Qualifications

You are the right fit if you:

  • Are currently pursuing a Master's degree or recently graduated from a Bachelor's degree in a quantitative field (Engineering, Statistics, Operation Research, Decision Sciences, Computer Science, Applied Math, Economics, Data Science, etc.);

  • Have strong analytical skills and proficiency in at least one programming language (R, Python, SQL, etc.) or family of techniques (optimization, simulation, machine learning, predictive modeling, etc.);

  • Are adaptable and able to handle multiple priorities effectively, both independently and as part of a collaborative team;

  • Are proficient in English, both written and spoken.

Job Schedule

Full time

Job Number

R000117475

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