PepsiCo Canada: Fall 2026 Data Science Co-op

PepsiCo • Mississauga, ON

7h • Onsite

About The Position

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. Are you excited about analytics and passionate about problem solving? Then come join our Data Science team at PepsiCo Foods Canada! We are focused on accelerating consumer demand, strengthening customer partnership, and driving end to end productivity through data science and advanced analytics. We work with Shopper Insights, Shopper Marketing, Category Leadership, Supply Chain, and IT resources to unlock opportunities. Being embedded in the business and linked to the top strategic priorities allows us to build best-in-class capabilities, develop deep functional expertise, and offer focused products in an agile responsive manner. Help us solve new and exciting business problems with data analysis, advanced analytics, and a love of problem solving. Success in this role will require exceptional data analysis skills, an analytical mindset, intellectual curiosity, and strong appreciation for delivering business results. Strong communication and collaboration skills are required.

Requirements

• Working towards bachelor’s degree in Data/Computer Science, Mathematics/Statistics, an engineering discipline, or equivalent.
• Familiarity with statistical modeling, machine learning and/or deep learning modeling
• Knowledge of statistical analysis tools like R or Python
• Knowledge of Databases and SQL programming skills
• Ability to translate business and technical requirements into non-technical terms
• Strong communication and collaboration skills
• Analytical and conceptual thinking skills
• Demonstrated ability to thrive in fast paced environment
• Ability to work independently with minimal supervision

Responsibilities

• Translate Business needs into technical requirements
• Collaborating with business stakeholders and technical teams to deliver a variety of projects
• Deliver advanced analytics and data science projects from end-to-end
• Effectively communicating insights to project stakeholders
• Complete proof of concepts
• Support the adoption of solutions into the business process

What This Job Offers

• Career Level: Intern