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The Programme\xa0

How would you like to use your academic background and join a globally recognized company?\xa0
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What your success will look like:

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.\xa0
Build the next generation of supply chain analytics, by using:\xa0
Mathematical modeling techniques: decision analysis, optimization, simulation, machine learning, predictive modeling, etc.\xa0
Programming languages (at least one of these): R, Python, SQL, Hive/Impala, Matlab, etc.\xa0
Data Visualization: Power BI, Spotfire, etc.\xa0
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.\xa0

Your role as a Data Science intern:\xa0

Responsibilities as of Day 1 – you will feel the ownership of your project from the beginning, and you will be given specific projects and responsibilities.\xa0
Continuous coaching & mentoring– you will work with passionate people and receive both formal training as well as day-to-day mentoring from your manager and stakeholders.\xa0
Dynamic and respectful work environment – employees are at the core; we value every individual and encourage initiatives promoting agility and work/life balance.\xa0
Paid Learning Experience: We treat you like a real full-time employee, not only in terms of the responsibility you take on, but also by providing you with a competitive stipend.\xa0
Full-time Opportunities: We love talented people; you will have the opportunity to become full-time following the successful completion of your internship.\xa0\xa0

Required Skills and Abilities\xa0

Current University Students in related majors (Engineering, Computer Science, Data Science, etc.)\xa0
Have strong analytical skills and demonstrated proficiency in at least one programming language (R, Python, SQL, etc.) or family of techniques (optimization, simulation, machine learning, predictive modeling, etc.).\xa0
Have had proven successes in leadership and priority setting as well as problem solving.\xa0
Are able to derive insights from data and optimally communicate those insights to drive action.\xa0
Have excellent collaboration skills and work comfortably across teams.
Are proficient in English.\xa0

About Us:\xa0
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Procter & Gamble Co. is one of the largest corporations in the world by market capitalization and is a Fortune Top 10 Most Admired Company. \u202f\xa0
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At P&G, we produce globally recognized brands, and we grow and embrace the best business leaders in the industry. \u202f\xa0
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For more than 175 years, we have been innovating to touch and improve consumers’ lives. P&G serves nearly five billion people around the world with its brands. \u202f\xa0
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The Company has one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ambi Pur®, Ariel®, Bounty®, Charmin®, Crest®, Dawn®, Downy®, Fairy®, Febreze®, Gain®, Gillette®, Head & Shoulders®, Lenor®, Olay®, Oral-B®, Pampers®, Pantene®, SK-II®, Tide®, Vicks® and Whisper®. \u202f\xa0
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The P&G community includes operations in approximately 70 countries worldwide. \u202f\xa0
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P&G, Building Leaders and Leadership Brands.\u202f\xa0

April