Procter & Gamble
R&D PhD Summer Intern: Data Science & AI, Grooming
United States · Work style not stated · Full time
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About the role
Description from the employer’s posting. Check the employer’s page for the current version.
- EmployerProcter & Gamble
- LocationUnited States
- Work styleWork style not stated
- Employment typeFull time
- Employer posted
Job Location
BOSTON GO & TECH CENTER
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!
Show full description
The Opportunity:
P&G has an opportunity for a PhD intern to work in the Grooming Research & Development business to develop innovative new solutions at the intersection of Data Science, Generative AI and Cognitive Science. The work will focus on understanding how consumers perceive changes in their skin and hair before and after shaving. The intern will explore key aspects of the shaving experience, such as perceived skin smoothness, evenness, and tone, by combining image-based technical measurements with visual perception and consumer data. Using approaches such as computer vision, multimodal AI, and Generative AI, the goal is to identify the skin and hair characteristics that drive what consumers see and experience, and better connect technical product performance with consumer perception. The ideal candidate is a curious and proactive PhD student with strong scientific, analytical, and problem-solving skills who enjoys tackling open-ended research problems, working across disciplines, and developing creative solutions.
Key Responsibilities:
- Develop and evaluate multimodal GenAI approaches to understand skin and hair perception from images.
- Connect image-based measurements with consumer data to identify key visual drivers of perception and product experience.
- Build benchmarks, evaluation datasets, and metrics to assess model alignment with human perception.
- Explore agentic and multimodal AI workflows that integrate images, technical measurements, and consumer data to address open-ended R&D problems.
- Translate findings into actionable insights for R&D and product development.
Job Qualifications
Required Qualifications:
- Education: Working towards a PhD in Computer Science, Computer Engineering, Electrical Engineering, Biomedical Engineering, Physics, Data Science, Statistics, Cognitive Science, Human Factors, or a related quantitative/scientific field
- Technical Skills: Proficiency in Python and experience with machine learning, computer vision, multimodal AI, image analysis, data analysis, statistics, or quantitative modeling.
- Available to work a 12-week internship from May/early June to August in the summer of 2027 in Boston, Massachusetts. Expected in-office schedule is 3 days a week in office at Gillette’s Boston, MA location.
Preferred Qualifications:
- Analytical Methods: Experience with computer vision, image processing, machine learning, statistical modeling, perception research, human-subject studies, or multimodal data analysis. Experience connecting objective measurements to human perception is especially relevant.
- Generative AI: Familiarity with multimodal GenAI, vision-language models (VLMs), foundation models, or agentic AI workflows.
- Development Tools: Familiarity with collaborative development tools and workflows, such as Git and GitHub.
Just so you know:
At P&G, we believe that diverse experiences help build strong leaders. Mobility is a key component of many management careers, providing opportunities to grow through different assignments, locations, and business challenges. Candidates should be prepared to consider relocation opportunities throughout their career as business needs and development opportunities arise.
Compensation for roles at P&G varies depending on a wide array of non-discriminatory factors including but not limited to the specific office location, role, degree/credentials, relevant skill set, and level of relevant experience. At P&G compensation decisions are dependent on the facts and circumstances of each case. Total rewards at P&G include salary + bonus (if applicable) + benefits. Your recruiter may be able to share more about our total rewards offerings and the specific salary range for the relevant location(s) during the hiring process.
We are committed to providing equal opportunities in employment. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Immigration Sponsorship is not available for this role. For more information regarding who is eligible for hire at P&G along with other work authorization FAQ’s, please click HERE.
Procter & Gamble participates in E-Verify.
Qualified individuals will not be disadvantaged based on being unemployed.
P&G is dedicated to meeting the needs of applicants requesting an accommodation/adjustment due to a disability in order to complete the online application process. If you have a disability that affects your ability to complete our online application process, please visit our Disability Accommodation Page.
Job Schedule
Full time
Job Number
R000159786
Job Segmentation
Internships
Starting Pay / Salary Range
$61.00 - $61.00 / hour
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At a glance
- Employment typeFull time
- SeniorityIntern
- Employer posted
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