Information Technology Intern

Currently pursuing a degree in Computer Science, a related technical field, or equivalent practical experience

Foundational programming skills in Java and/or TypeScript

Understanding of relational databases and basic SQL

Strong problem-solving, communication, and interpersonal skills

A desire to produce high-quality software through testing, code reviews, and teamwork

Hands-on experience building real applications from Day 1

Mentorship from experienced full-stack engineers

Exposure to modern cloud and DevOps toolchains

A chance to work in multinational, cross-functional teams

We produce globally recognized brands and build leaders across functions. You'll work in an environment that values ownership, innovation, and continuous learning - with the opportunity to make a real impact early in your career.

At Procter & Gamble, IT is at the core of how we innovate, make decisions, and deliver impact at scale. As a Platform Engineering Intern, you will help build, maintain, and optimize our cloud infrastructure, CI/CD pipelines, and overall DevOps practices.

You will learn Infrastructure as Code and containerization while supporting the reliability, scalability, and efficiency of our applications and services on high-impact global projects.

Support designing and managing scalable, secure cloud infrastructure using Infrastructure as Code (Terraform)

Help build, maintain, and optimize CI/CD pipelines for automated delivery and testing

Learn containerization and orchestration with Docker and Kubernetes

Assist with monitoring, logging, and alerting to keep platforms reliable

Collaborate with development teams to embed DevOps practices across the lifecycle

Currently pursuing a degree in Computer Science, Engineering, or a related technical field

Foundational understanding of cloud platforms (Azure preferred)

Basic scripting skills in Python and/or Bash

Strong problem-solving skills and attention to detail

Good communication and collaboration skills

Hands-on experience with modern cloud and DevOps tooling

Mentorship from experienced platform and DevOps engineers

Exposure to Infrastructure as Code and container orchestration

A chance to deliver high-impact, global platform projects

At Procter & Gamble, IT is at the core of how we innovate, make decisions, and deliver impact at scale. As an AI Engineering Intern, you will help ensure the reliability, availability, and performance of our production AI/ML systems.

Blending software engineering principles with operations, you will support building scalable, observable solutions on Azure while collaborating with development and operations teams on automation and optimization.

Support maintaining production systems for high availability and reliability

Help build monitoring and observability dashboards and alerts for system health

Contribute to automation solutions for routine operational tasks

Assist in developing and maintaining automated tests for production systems

Support production deployments and change management for minimal downtime

Currently pursuing a Bachelor’s or Master’s in Computer Science , Software Engineering, or a related field

Understanding of cloud computing concepts, particularly Microsoft Azure

Intermediate Python programming skills

Strong problem-solving skills

Strong written and verbal communication in English

Hands-on experience with production AI/ML systems from Day 1

Mentorship from experienced SRE and AI engineers

Exposure to modern MLOps , monitoring, and automation tools

A chance to work at the intersection of AI, reliability, and engineering

At Procter & Gamble, IT is at the core of how we innovate, make decisions, and deliver impact at scale. As an Intern, you will work on real business problems using data — whether that involves building scalable data pipelines or developing advanced analytical and machine learning models.

Depending on business needs and your strengths, you may work in either a Data Engineering or Data Science capacity — both roles collaborate closely to deliver end-to-end data solutions.

Work on real-world business problems using large and complex datasets

Build, analyze, and derive insights from data to support decision-making

Collaborate with cross-functional teams including business, product, and engineering

Contribute to the design and development of scalable data or analytics solutions

Develop and maintain data pipelines and workflows

Work with structured and unstructured data at scale

Support data platform development and data quality initiatives

Apply statistical analysis and machine learning techniques

Perform exploratory data analysis and feature engineering

Build and evaluate predictive or optimization models

Currently pursuing a degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field

Strong problem-solving and analytical thinking skills

Proficiency in Python and/or SQL

Understanding of data structures, algorithms, and basic statistics

Hands-on experience working on live business problems from Day 1

Exposure to modern data platforms and tools

Mentorship and learning opportunities from experienced professionals

A chance to work at the intersection of business, data, and technology

We produce globally recognized brands and build leaders across functions. You’ll work in an environment that values ownership, innovation, and continuous learning — with the opportunity to make a real impact early in your career.