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 who yearns to make 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 loves cutting-edge technologies, has a solid foundation on computer science, statistics or mathematics, excellent in communicating, and passionate to lead and make things happen! Our mission is clear: to leverage the power of data and analytics to drive business growth, improve customer satisfaction, and create new opportunities. As a Data Science Intern, you will be part of our dynamic team that drives innovation through data-driven insights. Your responsibilities will include: • Developing and implementing data-driven solutions using machine learning algorithms, statistical modeling, and data visualization techniques; • Collaborating with cross-functional teams to identify business needs and develop data-driven recommendations; • Conducting exploratory data analysis to uncover hidden patterns and trends in large datasets; • Designing and developing predictive models to forecast business outcomes and optimize decision-making processes; • Presenting findings and insights to stakeholders through clear, concise, and compelling visualizations. If you are a detail-oriented problem-solver with a passion for data science, we want to hear from you! Our ideal candidate will have: • A Bachelor's degree or above in Computer Science, Statistics, Mathematics, or related fields; • Strong programming skills in languages such as Python, R, or SQL; • Experience working with big data and machine learning algorithms; • Excellent communication and presentation skills; • Ability to work independently and collaboratively as part of a team. What we offer: • A unique opportunity to work on real-world business problems using cutting-edge technologies; • Mentorship from experienced professionals in the field; • Opportunities for professional growth and development; • Collaborative and dynamic work environment; • Competitive compensation package.