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

Job Location

SINGAPORE GENERAL OFFICE

Job Description

Are you a data-savvy strategic thinker who yearns to make a lasting impact by solving critical business questions for a global industry leader using data, science, and technology? The P&G Data Science team is looking for a curious and confident individual who loves cutting-edge technologies, has a solid foundation in computer science, statistics or mathematics, is excellent at communication, and is passionate about leading and making things happen.

Our mission is clear—we deliver technology to help win with consumers. Our Data Scientists are diverse business leaders who apply technical 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 our cutting-edge shared 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’ll be working with passionate cross-functional teams, while receiving 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 the central data science team tackling supply chain, retail, and media analytics problems that are general across brands, or be in the embedded data science team addressing eCommerce and consumer problems and working closely with a brand.

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

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

Job Qualifications

• You are a student graduating July 2026. You are able to commit to a full-time 6-month internship (January – June 2026).

• Leaders with strong academic results in a Bachelor’s Degree or above in Computer Science, Mathematics, Economics, Statistics, Applied Science or other quantitative-focused fields.

• Proficient in Python. Knowledge of big data environments and Spark is preferred.

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

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

• Comfortable collaborating cross-functionally with people from different functions, backgrounds, and experiences.

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

• Proven capability to handle multiple priorities.

About Us

We produce globally recognized brands and 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. We are 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.

Job Schedule

Full time

Job Number

R000136646

Job Segmentation

Internships