Overview POSITION: Data Science Co-op (Summer 2026 Term) LOCATION: Mississauga, ON COMPENSATION: $25-28 per hour At PepsiCo Canada, we have great brands, great distribution systems and great quality products, all of which are led by great people! To ensure we stay on the path of delivering great results, it is important that we continue to develop a deep bench of talented leaders. Our ability to grow year after year is driven by our ability to attract, develop, and retain world class people who will thrive in the PepsiCo environment. Our people are our greatest asset. By supporting their ability to work effectively together and providing them with the tools they need to succeed, we are ensuring that PepsiCo Canada is the kind of company where talented people of all backgrounds want to work. The PepsiCo Canada co-op program will provide candidates with a unique opportunity to build their experience and leadership skills. Position Summary: Our Data Science Intern role support PepsiCo Canada’s business functions by leveraging data analysis and modeling techniques to deliver business objectives. This individual will compile, transform and analyze large diverse datasets to develop fact-based recommendations that contribute to achieving strategic goals. Success in this role requires a results-driven approach, intellectual curiosity, analytical thinking, technical proficiency, and the ability to collaborate effectively with others. Responsibilities Collaborate Cross-Functionally: Work closely with teams across functions (e.g., Sales, Marketing, Supply Chain, Finance) to understand business needs and translate them into analytical solutions. Efficient Data Wrangling: Support the extraction, transformation, and loading of large datasets from various sources, ensuring data is clean, accurate, and ready for analysis. Integrate Solutions into Business Processes: Help deploy analytics and machine learning solutions into operational workflows, ensuring outputs are actionable and sustainable for the business. Communicate Technical Insights to Non-Technical Stakeholders: Present complex data science concepts, models, and findings in a clear, concise manner that drives business decision-making and understanding. Project Management with Agile Principles: Partner with business stakeholders to define project goals, gather regular feedback through iterative development cycles, and adjust priorities as needed to maximize impact. Visualize Insights: Create intuitive dashboards, reports, and data visualizations to highlight key findings and trends, making insights accessible to broader audiences. Build and Deploy Machine Learning Models: Develop predictive and prescriptive models aimed at solving real-world business problems, such as improving performance, forecasting demand, or reducing inefficiencies. Qualifications Currently pursuing a Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field; a minor in Business or Commerce is preferred. Strong understanding of mathematical models that support data science methodologies, with familiarity in relevant programming languages. Ability to communicate complex technical concepts clearly and concisely to technical and non-technical audiences. Strong analytical, problem-solving, and conceptual thinking skills. Proven ability to succeed in fast-paced, dynamic, and complex environments. Capable of working independently with minimal supervision while managing multiple priorities. Skilled in building effective working relationships and communicating with business stakeholders. Proficient in SQL and Python for data analysis, modeling, and solution development. Self-motivated, enthusiastic, and able to build collaborative relationships! PepsiCo may use Artificial Intelligence as part of its hiring process. Specifically, we may use AI-based tools to screen, assess, or select applicants. This posting is for an existing vacancy. What you can expect from us: A dynamic and inclusive culture that promotes you to bring your whole-self to work Inspiring positive change for people and the planet with sustainability goals An opportunity to be meaningful and impactful within your work and projects A supportive team that will encourage your professional growth and development