Data Science Intern

Full time

Employment Information

The position you were interested in has been filled or expired, but we invite you to explore other exciting job openings on our platform to find your next career opportunity.

How would you like to use your academic background and join a globally recognized company?

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

Your role as a Data Science intern:

  • 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
  • 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.
  • Dynamic and respectful work environment – employees are at the core; we value every individual and encourage initiatives promoting agility and work/life balance
  • 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 competitive stipend.
  • Full-time Opportunities: We love talented people; you will have the opportunity to become full-time following successful completion of your Internship.

Job Qualifications

  • Current University Students in relating majors (Engineering, Computer Science, Data Science, etc.)
  • 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.)
  • Have had proven successes in leadership and priority setting as well as problem solving
  • Are able to derive insights from data and optimally communicate those insights to drive action
  • Have excellent collaboration skills and working comfortably across teams
  • Are proficient in English

About us

We produce globally recognized brands, and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able to lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide.

Visit http://www.pg.com to know more.

Our consumers are diverse and our talents - internally - mirror this diversity to best serve it. That is why we’re committed to building a winning culture based on Inclusion and our ideal candidate is passionate about the same principle: you will join our daily effort of being “in touch” so we craft brands and products to improve the lives of the world’s consumers now and in the future. We want you to inspire us with your unrivaled ideas.

We are committed to providing equal opportunities in employment. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, veteran status, HIV/AIDS status, or any other legally protected factor.

joxBox

Join our newsletter to get monthly updates on data science jobs.

joxBox