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Procter & Gamble
·
October 23, 2026
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Cincinnati, OH
Internship
Onsite
$60.57/hr - $60.57/hr
Intern
Procter & Gamble is a consumer packaged goods company with an R&D organization focused on product innovation and scientific analysis. The PhD intern will work in the Feminine Care business on data science and generative AI, developing advanced models, evaluating uncertainty, and improving the efficiency of consumer studies and simulations. The role also involves creating a prototype work process and collaborating across multifunctional teams.
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Responsibilities

  • 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

Qualification

Required

  • **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

Preferred

  • Experience with entrepreneurial/startups and/or industrial experience are strongly preferred
  • Bayesian optimization
  • Multi-armed bandits or reinforcement learning
  • Uncertainty quantification
  • Gaussian processes, evidential models, Bayesian neural networks, or ensembles
  • Scientific computing
  • CFD / FEA familiarity, if using first-principles simulation examples
  • Generative AI / AI-agent prototyping, but only as a communication layer, not the core research contribution

Benefits

  • This is a 12-week paid internship, designed to provide you with a solid foundation for future career growth.
  • As an intern or co-op in management, you will have the opportunity to learn from experienced professionals in a supportive environment.
P&G was founded more than 185 years ago as a soap and candle company.
Glassdoor
4.0
Founded in 1837
Cincinnati, Ohio, USA
10001+ employees
https://us.pg.com