PepsiCo Canada: 2026 Junior Data Scientist New Grad

Overview 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. What you can expect from us: Competitive compensation and comprehensive benefits designed to fit your unique needs 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 A supportive team that will encourage your professional growth and development Compensation: $76,100-78,700 annual salary Responsibilities Translate Business needs into technical requirements Collaborating with business stakeholders and technical teams to deliver a variety of projects Deliver proof of concepts leveraging advanced analytics and data science Effectively communicating insights to project stakeholders Support the adoption of solutions into the business process Identify best practices in the advanced analytics space by tracking technology and industry trends Qualifications 2025/26 Recent Graduate with a 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 Comprehensive knowledge of Databases and strong SQL programming skills Proficiency in data engineering and data blending Demonstrated experience in handling large data sets and relational databases Experience with visualization tools like Tableau, Power BI or Matplot Ability to translate business and technical requirements into non-technical terms Strong communication and collaboration skills Exceptional analytical and conceptual thinking skills Demonstrated ability to thrive in fast paced environment Ability to work independently with minimal supervision Experience with Scrum/Agile Methodology is an asset Why work at PepsiCo At PepsiCo, you’re invited to be a part of a global team of innovators who make, move, and sell these products—which are enjoyed by more than 1 billion people a day. A career at PepsiCo means working in a culture where everyone’s welcome. Here, you can dare to be yourself. No matter who you are or where you’re from, you can influence the people around you and the world at large. By showing up, you’ll have the opportunity to learn, develop and grow your skills for the future. Our supportive teams can fuel your professional goals to make a global impact on people and the planet. Join us. Dare for Better. 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 new vacancy.

The role involves translating business needs into technical requirements and delivering proof of concepts using advanced analytics and data science. The candidate will collaborate with stakeholders to communicate insights and support the adoption of data-driven solutions into business processes.

Requires a 2025/26 recent graduate with a Bachelor's degree in Data/Computer Science, Mathematics, Statistics, or Engineering. Candidates must be proficient in SQL, Python or R, and experienced with data visualization tools and large relational databases.

• Competitive compensation • Comprehensive benefits • Professional growth and development

Identified from the job description. Confirm important requirements above.

• Statistical Modeling
• Machine Learning
• Deep Learning
• R
• Python
• SQL
• Data Engineering
• Data Blending
• Tableau
• Power BI
• Matplot
• Analytical Thinking
• Communication
• Collaboration
• Scrum
• Agile Methodology

Minimum education

Bachelor’s degree

Minimum experience

0+ years

Apply by

Jun 4, 2027