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Data Science Intern; Semester ; P&G Management Internship Program - Bachelor's Degree

Job in Singapore, Singapore
Listing for: Procter & Gamble
Full Time, Apprenticeship/Internship position
Listed on 2026-10-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 13000 SGD Monthly SGD 13000.00 MONTH
Job Description & How to Apply Below
Position: 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 player whoyearns tomake a lasting impact by solving critical business questions for a global industry leader using data,science and technology? P&G Data Science team is looking for a curious and confident soul who lovescutting-edge technologies, 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 our cutting-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 the central 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 month internship)
  • Leaderswith strong academic results in a Bachelor’s Degree or above in Computer Science, Mathematics, Economics, Statistics, Applied Science orotherquant-focused field.
  • Proficient in Python. Knowledge on big data environment 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 totake action.
  • Comfortable collaborating cross-functionally - with people from different functions,backgrounds and 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 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  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.

Job Schedule

Full time

Job Number

R

Job Segmentation

Internships

Position Requirements
Less than 1 Year work experience
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