Data & AI Engineering Internship

Job Location: Cincinnati General Offices

About the role

Procter & Gamble is looking for interns interested in various roles within the data and analytics domain, including Data Engineers, Data Asset Managers, and AI Engineers. You will have the opportunity to apply innovative technologies to solve complex business problems and contribute to data-driven decision-making. The work could range from analyzing large datasets to providing actionable insights, managing data assets to ensure data quality and accessibility, or engineering robust data pipelines that feed analytical models and support business operations. Regardless of the specific role, you will leverage data to solve business problems.

Responsibilities

Example responsibilities by role type:

• Data Engineer:
  • Design, build, and maintain cloud-based data and analytics platforms and data pipelines that acquire, cleanse, transform, and publish data from a wide range of sources.
  • Develop large, complex datasets that support both functional and non-functional business requirements, partnering with data asset managers, architects, and development leads.
  • Contribute to and apply coding standards and best practices to create efficient, scalable, and reusable services and components.
  • Design and implement process improvements that enhance operational efficiency, data quality, and overall platform performance.
• AI Engineer:
  • Drive proof-of-concept development and experimental initiatives to evaluate emerging technologies, advanced models, and innovative solutions.
  • Engineer high-quality, standards-compliant, and rigorously tested software while contributing reusable code, frameworks, and tools to shared repositories.
  • Design, develop, and optimize data models, feature engineering capabilities, data quality assurance processes, ETL/ELT pipelines, and scalable distributed computing architectures.
  • Deploy, monitor, and enhance algorithmic solutions across cloud platforms, leveraging cloud-native services to ensure reliability, scalability, efficiency, and business impact.
• Data Asset Manager:
  • Lead data governance activities aligned with the organization’s data strategy within assigned areas of accountability.
  • Serve as trusted advisors to business partners, influencing strategic decisions and driving continuous improvement of data governance practices.
  • Oversee critical data management functions such as data quality, data operations, storage, reference and master data, data standards, security, vendor governance, and metadata management.

As an intern, you will experience a subset of the above responsibilities.

Requirements

• Available during the summer of 2027 for a 12-week internship from mid/late May through early August.
• In the process of obtaining a Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Data Science, Applied Math, Statistics, Analytics, or related fields.
• Strong analytical and problem-solving skills with experience in programming languages such as Python, SQL, R, or similar.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and understanding of data management practices.
• Ability to communicate technical concepts to both technical and non-technical colleagues effectively.

Preferred Qualifications

• A history of solving complex problems with innovative solutions.
• Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform.
• Understanding of data governance and data quality best practices.
• Relevant experience or coursework in data analysis, data management, or related fields.

Pay

Starting pay/salary range: $29.00 - $50.00 per hour.

Schedule

Full time, 12-week internship during the summer of 2027.