R&D PhD Summer Intern: Data Science and Machine Learning

Job Location

MASON BUS AND INNOVATION CTR

Job Description

Research and Development (R&D) at Procter & Gamble, the largest consumer packaged goods company in the world, includes a diverse group of roles that contribute to the innovation and development of our products. It encompasses roles in product research, formulation, testing, and scientific analysis. You will find variety and excitement starting Day 1.

This internship is specifically designed for individuals working towards a PhD who are developing proficiency in their field. As an intern or co-op in management, you will have the opportunity to learn from experienced professionals in a supportive environment. This is a 12-week paid internship, designed to provide you with a solid foundation for future career growth. The internship will take place from May (potentially early June) to August of 2027. Join us at P&G, where your contributions will play a vital role in shaping the future of consumer products!

The Opportunity

P&G has an opportunity for a PhD intern to work in our on our corporate function R&D team using Machine Learning for Wearable Sensing & Human Motion. Reconstructing full-body human motion from a handful of noisy, drifting wearable sensors is a challenging machine learning problem, drawing on time-series modeling, multi-modal sensor fusion, human pose estimation, and biomechanics. As a PhD Intern on the CF R&D Data Science and AI team at P&G, you will work on this problem directly, and progress on it to enable new ways of understanding how people move and interact with products outside the lab.

Our research sits close to the product: the models we build inform design, ergonomics, fit, comfort, and the everyday experience of using our brands. Wearable sensing lets us observe movement and product interaction in real-world settings that lab-based methods cannot reach, and it lets us ask questions such as: How much physical effort does a task actually require? How does a product move with the body? Where does the experience break down? What should privacy-preserving, in-home consumer research look like going forward?

In this role, you will extend what wearable AI can do and turn those results into tools and findings that shape design decisions. You will work with teams across R&D, Brand, and Product Development to take your models from research prototype to production. Success depends on technical depth in deep learning and sensor data, combined with the curiosity, communication, and collaboration needed to work effectively with partners across functions and levels.