Data Science Intern (Semester 2026) - P&G Management Internship Program - Bachelor's Degree or above

Job Location

Job Description

Are you a data-savvy strategic player whoyearns tomake a lasting impact by solving critical business questions for a global industry leader using data,scienceand technology? P&G Data Science team is looking for a curious and confident soul who lovescutting-edgetechnologies, has a solid foundation on computer science,statisticsor mathematics, excellent in communicating, and passionate to lead and make things happen!

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 ground-breaking 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 ourcutting-edgeshared services organization, your technical skills will be recognized and rewarded.

What We Offer

Our internship program allows you to gain practical hands-on experience with industry leading analytical tools and technologies from Day 1.You’llbe working with passionate cross-functional teams, all while receiving both formal trainings and day-to-day mentoring from our IT and Data Science professionals.

Internship Projects Typically Revolve Around the Following:

• Opportunity to be on thecentral data scientist team takingon supply chain, retailand media analytics problems that are general across brands, oryou’llbe in the embedded data scientist team addressing eCommerce and consumer problems and beingvery closeto a brand.

• Taskedon real-life projects and responsibilities from Day 1 - understand businessobjectivesand generate impactful insights by investigating datasets of point-of-sales, geospatial, product & supply, DTC, CRM, TV media, online search, etc from more than 10 countries across the region.

• Build,validate,testand deploy machine learning or other data science models into our IT platforms.

Job Qualifications

• You are a penultimate/final year student. Able tocommit to a full-time6 monthinternship)

• Leaderswith strong academic results in a Bachelor's Degree or above in Computer Science, Mathematics, Economics, Statistics, Applied Science orotherquant-focused field.

• Proficient inPython. Knowledge on big data environment and Spark is preferred.

• Familiar withOperations Research (optimization, simulation) and machinelearning models (tree models, Deep Learning, ReinforcementLearning, etc.).Proven use of machine learning, statistical modelling or econometrics in internship or coursework.

• Excellent written and verbal communication skills to influence others totake action.

• Comfortable collaborating cross-functionally - with people fromdifferent functions,backgroundsand experiences.

• Possess strong thinking/problem-solving skills which can be applied to business processes with a "can-do" attitude.

• Proven capability to handle multiple priorities.

About Us

We produce globally recognized brandsand we grow thebest business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders are able tolead 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’recommitted 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 providingequal opportunities in employment. We do not discriminate against individuals on the basis ofrace, 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.

Job Schedule

Job Number

Job Segmentation