PhD Intern - Data Scientist & Generative AI in Femcare

Procter & Gamble is a global consumer packaged goods company with a Research and Development organization focused on product innovation and scientific analysis. The PhD Intern will develop generative AI tools, investigate active learning and sequential experimentation, evaluate consumer study and simulation datasets, and optimize experimental resources.

What you'll do:

• Using historical consumer study and simulation datasets to evaluate uncertainty
• Identify next study, simulation, and measurement based on reduction of uncertainty
• Optimize experimental resources
• Create a prototype work process to demonstrate success

What they're looking for:

• **Education:** Working towards a PhD in Computer Science, Machine Learning, Statistics, Mechanical Engineering, Computational Physics, Computational Engineering, Applied Mathematics, or Data Science
• Active learning / sequential experimental design — central to recommending the next most informative consumer study or simulation
• Probabilistic machine learning / Bayesian statistics — needed to represent prediction uncertainty and update confidence as evidence arrives
• Surrogate modeling — needed for both consumer-response prediction and simulation-response approximation
• Python — required for model development, simulation, and analysis; PyTorch, scikit-learn, BoTorch, GPyTorch, or similar tools would be useful
• Experimental design and model evaluation — needed to compare active learning policies against baselines and define success metrics
• Available to work a 12-week internship from May/early June to August in the summer of 2027, and at least 3 days/week onsite at Winton Hill Business Center
• Has strong ownership & self-leadership skills to understand the business objective and technical problem to be solved
• Has experience collaborating with multi-functional teams
• Has the ability to recognize opportunities for capabilities or technologies that can be reapplied across programs
• Can independently work project priorities, multi-task, and handle a wide variety of complex, non-routine/routine tasks in a fast-paced environment
• Experience with entrepreneurial/startups and/or industrial experience are strongly preferred

Benefits:

• 12-week paid internship
• Supportive environment
• Opportunities for future career growth