Data Scientist (Masters Degree) Internship

PGBPGNGLOBALCincinnati, OH
36d$29 - $50Onsite

About The Position

Do you enjoy design research and analytic frameworks? How would you like to use your creative and analytical skills alongside business leadership in your everyday work? Data Science is where business, innovation and technology integrate to build a competitive advantage for P&G. 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 groundbreaking 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 innovative shared services organization, your technical skills will be recognized and rewarded. Your real passion for the industry will be further cultivated by our culture of continued learning and growth as a Data Science professional. For this internship, you would be in Cincinnati, Ohio for the duration of the summer. A full-time employee in this role would perform these responsibilities over the course of a 1.5-2-year assignment. As an intern, you will experience a subset of these responsibilities over a 3-month internship: In this role, you will be using Big Data and advanced analytics to advise the engagement of our business leaders. You'll be collaborating actively across functional partners to accomplish various project objectives. We need someone who can implement research and analytics, including data source identification, processing, model/algorithm development. Ultimately you will be turning insights into measurable recommendations which will drive business value creation.

Requirements

  • Pursuing a Master's in Statistics, Applied Mathematics, Economics, Computer Science, Data Science, Business Analytics, Operation Research, Software Development, or a similar quantitative field
  • Must be available during the Summer of 2026 between Mid/ Late May through early August

Nice To Haves

  • Proven leadership in applying and scaling Analytic techniques to deliver measurable insights from data
  • Strong written and verbal communication skills to influence others to take action
  • Proven ability to balance multiple priorities
  • Comfort working with diverse business scenarios and possessing strong thinking/problem-solving skills to business processes with a "can-do" attitude
  • Strong passion and curiosity about the intersection of business and technology
  • Experience with Analytical Tools/Applications: Unix/Linux
  • Experience with Analytical Tools/Applications: Big Data Ecosystem: Hadoop, Spark, MapReduce, SQL, Hiv
  • Experience with Analytical Tools/Applications: Scientific Computing: R, Python, C++, Java, Scala,
  • Experience with Analytical Tools/Applications: High-Performance Parallel and Distributing Computing
  • Experience with Analytical Tools/Applications: Deep Learning frameworks: Keras, Tensorflow
  • Data Visualization
  • Data Management Systems
  • Business Intelligence tools: such as KNIME, Tableau

Responsibilities

  • Using Big Data and advanced analytics to advise the engagement of our business leaders
  • Collaborating actively across functional partners to accomplish various project objectives
  • Implementing research and analytics, including data source identification, processing, model/algorithm development
  • Turning insights into measurable recommendations which will drive business value creation
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