P&G is the largest consumer packaged goods company in the world. We have operations in over 75 countries, with 65 trusted brands that improve lives for 5 billion consumers worldwide. This brings many advantages, including the opportunity for our employees to enjoy a diverse and rewarding lifelong career filled with new and exciting challenges.

Are you looking for a position that offers a rewarding lifelong career filled with new and exciting challenges? P&G is looking for a PhD Intern: Data & Modeling Scientist in F&HC Strategic Innovation & Technology.

PhD Intern: Data & Modeling Scientist in F&HC Strategic Innovation & Technology

We are seeking a highly motivated PhD candidate Scientist / Engineer for a summer internship with the Fabric and Home Care (F&HC) Strategic Innovation & Technology organization, located in Cincinnati, OH. You as the Data & Modeling Scientist will create and lead cohesive modeling strategies across computational groups and physical and chemical wet labs to solve real-world business problems. You will also be responsible for developing chemistry databases to enable fast-cycle molecule design and formula optimization, fundamental mechanistic understanding, and new insight discovery. Moreover, you will be working in close collaboration with multifunctional project teams and develop R&D solutions that deliver superior benefits in our Fabric & Home Care products (e.g. Tide, Downy, Unstopables, Dawn, Febreze, etc.) to further grow P&G's $22+ billion F&HC business.

Qualifications

We are looking for and individual that is a PhD Candidate pursuing a degree in Chemical Engineering or a relevant STEM field .

• The individual must be a team player with a “Roll up your sleeves” attitude and able to partner with a multi-functional team to define the model requirements
• Be able to make business recommendations through effective communication (presentations and reports) of findings at multiple levels of stakeholders through visual displays of quantitative information
• The individual must be able to develop empirical insights from complex data sets, generate data-driven hypothesis, and design appropriate Lab experiments to test these hypotheses
• The individual must be able to develop the mathematical equations which govern a given physicochemical, reaction kinetics, or transport phenomena and deploy the model in dashboard for end-users
• The individual must be able to use mathematical optimization techniques to solve product and process design problems
• The individual must have strong coding skills in at least one scientific computing language (e.g. Python, R, Matlab, Java)
• Knowledge and experience with advanced machine learning methods (e.g., Graph Neural Network) and tools (e.g. TensorFlow) is a plus
• Excellent oral and written communication skills in English

Just So You Know:

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 position, except in rare situations based on Procter & Gamble's sole discretion. Applicants for U.S. based positions are eligible to work in the U.S. without the need for current or future sponsorship. We do not sponsor for permanent residency. Any exceptions are based on the Company's specific business needs at the time and place of recruitment as well as the particular qualifications of the individual.

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

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