Data & AI Engineering Internship

What you'd do

• 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, while partnering with data asset managers, architects, and development leads to deliver high-quality, fit-for-purpose data solutions aligned with enterprise architecture standards.
• 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, enterprise libraries, and open-source projects in alignment with P&G IT policies.
• 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: Leading 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 the continuous improvement of data governance practices.
• Oversees critical data management functions such as data quality, data operations, storage, reference and master data, data standards, security, vendor governance, and metadata management to ensure data is accurate, secure, accessible, and fit for business use.

What they want

• You must be 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 in Computer Science, Computer Engineering, Data Engineering, Data Science, Applied Math, Statistics, Analytics or like degrees.
• Strong analytical and problem-solving skills with experience in programming languages such as Python, SQL, R, or similar (Experience in a specific language is not required; you will be expected to learn new languages).
• 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.