Jobs at Procter & Gamble

Design, build, and operate an end-to-end data product supporting Sales across Europe. Develop and maintain Azure-based data pipelines, implement reporting layers (e.g., Power BI), ensure production readiness with monitoring and documentation, and partner with Sales, Finance, Data Scientists, and analysts to deliver reliable, scalable data solutions.

Analyze and model large consumer and retail datasets, perform advanced data wrangling, derive actionable insights, collaborate with technology partners and cross-functional teams, and help design scalable data projects and next-generation analytics capabilities.

Design and implement SAP BW on HANA data models, manage ETL processes, optimize queries, and collaborate with business users to meet reporting needs.

As a Data Engineering intern, you'll develop scalable data pipelines, collaborate with Data Scientists, evaluate tools, and innovate data solutions while receiving coaching and working on live business projects.

The Managerial Traineeship in Manufacturing at Procter & Gamble offers hands-on experience in production, mentorship, and skills enhancement, preparing candidates for future leadership roles.

As a Process Engineer Trainee, you'll manage projects in manufacturing, analyze production metrics, and improve processes while receiving mentoring and training.

The manager will integrate innovative technologies in the Alexandria plant, focusing on operational excellence, efficiency, and product lifecycle management.

This R&D Post-Doctoral Placement involves designing advanced laboratory experiments, developing analytical methods, and collaborating with teams to solve consumer-related challenges in product development.

As a Supply Chain Process Engineer Intern, you will assist in logistics, optimize stock management, and manage continuous improvement projects to enhance operational efficiency.

The Product Supply Engineer Intern will assist in developing production systems, analyzing data, supporting projects, and improving processes while collaborating with teams.

The E-Commerce Manager will drive category growth, develop marketing toolkits, and lead initiatives to enhance brand visibility and sales through digital strategies and collaboration.

As an Industrial Automation apprentice, you'll improve production processes, develop team skills, integrate digital solutions, document processes, and collaborate with multifunctional teams for operational efficiency.

The Process Engineer supports daily production activities by identifying inefficiencies, leading projects, and enhancing manufacturing standards, while collaborating with technical teams.

The Senior AI Engineer will design and develop autonomous AI systems, collaborate with teams to solve business problems, implement data pipelines, and ensure quality assurance practices.

The Data Scientist will partner with product teams to solve business problems using machine learning, develop insights, and automate model deployment in an international data science team.

As a Product Supply Manager, you will lead efforts in loss identification, process improvements, project management, and technology integration in manufacturing. You'll develop skills through hands-on experiences and mentoring while coordinating project efforts across teams.

Lead and manage external supplier manufacturing operations to ensure on-time, in-full deliveries. Drive capacity optimization, equipment maintenance, loss reduction, supplier relations, cross-functional projects, audits, and payment governance while conducting frequent supplier site visits.

Lead capital projects (up to and beyond $30M) end-to-end for a high-volume manufacturing site, managing scope, schedule, budget, risks, vendors, cross-functional stakeholders, startup/commissioning, and compliance to deliver automation and capacity improvements.

P&G Latin America internship: 6+ month paid placement in Panama City for Latin American undergraduates. Interns join Brand Management, Finance, HR, Sales, or Product Supply teams to own projects, collaborate cross-functionally, receive mentorship, and develop business, analytical, and leadership skills.

Lead incident response and root cause analysis, maintain platform reliability and performance, implement and improve observability solutions, collaborate with vendor teams, and contribute to continuous improvement of incident management and operational processes.