Data Science PhD Intern - Fabric & Home Care
Procter & Gamble.com
116k - 116k USD/year
Office
IVORYDALE INNOVATION CENTER, United States
Full Time
Job Location
IVORYDALE INNOVATION CENTERJob Description
Research and Development (R&D) at Procter & Gamble 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.
Job Description:
P&G has an opportunity for a Data Science PhD intern to work with Human Safety Toxicologists in our Fabric and Home Care business to develop digital capabilities leveraging large language models (LLMs). This is an entry-level role for employees who are developing proficiency in their field. As an intern or co-op in management, you will have the opportunity to grow and learn from experienced professionals in a supportive environment.
The ideal candidate will demonstrate a strong eagerness to learn and grow professionally and possess excellent communication skills—both written and verbal. This role is perfect for those with a forward-thinking mindset who thrive on overcoming challenges. Join us in this dynamic environment, where your contributions will make a real impact as part of a collaborative team!
Key Responsibilities:
- Partner seamlessly with our Fabric & Home Care Human Safety organization to work on projects leveraging LLMs.
- Develop an agentic AI system to accelerate chemical hazard property predictions and document generation for internal and external usage.
- Build benchmarks, evaluation datasets, metrics, and methods to assess and improve the performance and effectiveness of LLM and prompts and drive iterative enhancements.
- Analyze latest LLM innovations and explore opportunities to apply cutting-edge techniques for building high-impact solutions that enhance internal capabilities and deliver exceptional user experiences.
Job Qualifications
Required Qualifications:
- Education: Working towards a PhD in Computer Science, Computer Engineering, Engineering or Life Sciences (Toxicology, Pharmacology, Biochemistry, etc.).
- Technical Skills: Proficient in programming languages such as C, C++, Python.
Preferred Qualifications:
- Analytic Methodologies: Experience with applying Machine Learning, Data Science, Generative AI and Large Language Modeling (LLM) to real-world problems.
- DevOps Familiarity: Familiarity with DevOps environments, including tools like GitHub.
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 as required by law.
Qualified individuals will not be disadvantaged based on being unemployed.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Job Schedule
Full timeJob Number
R000138923Job Segmentation
InternshipsStarting Pay / Salary Range
$58.41 - $58.41 / hourData Science PhD Intern - Fabric & Home Care
Office
IVORYDALE INNOVATION CENTER, United States
Full Time
116k - 116k USD/year
October 1, 2025