Data Science Fall Internship Jobs in Toronto, ON

Job Description:

Rakuten International is a division of Rakuten Group, Inc., a Japanese global technology leader in services that empower individuals, communities, businesses and society. Headquartered in San Mateo, California with more than 4,000 employees worldwide, the Rakuten International business portfolio includes market leaders in e-commerce, digital marketing, advertising, communications and entertainment. We create products and services that provide exceptional value by aligning members and the businesses that want to engage them in a shared community.Rakuten is a leading shopping platform that offers Cash Back on purchases from your favorite brands. By partnering with thousands of brands in apparel, beauty and wellness, dining, grocery, travel, on-demand services, subscription boxes, and more, Rakuten helps members save and get more on everyday purchases. Since its founding in 1999, Rakuten has become the largest and most rewarding shopping program, and its members have earned $4.6 billion in Cash Back just for shopping through Rakuten. For more information, visit Rakuten.com.Job Summary:We are looking for a results-driven, mid-level Marketing Analyst who can transform complex data into clear, actionable insights that support strategic and operational marketing decisions. The ideal candidate brings strong analytical thinking, hands-on experience with SQL (Python a plus), and a solid understanding of e-commerce and two-sided marketplace business dynamics, along with the ability to communicate findings clearly to both technical and non-technical stakeholders. This role goes beyond surface-level reporting, requiring the ability to identify true root causes and connect business data to broader business problems. You thrive in ambiguous environments-particularly during the first three months of training, when direction will still be taking shape-can move fluidly between business questions and technical execution, and are comfortable using modern AI-assisted tools to improve analytical speed, code quality, and workflow automation.
Key Responsibilities:

• Own and monitor key business and marketing KPIs, tracking performance and conducting deep-dive analyses to identify trends, risks, and growth opportunities
• Translate business problems into analytical frameworks and deliver clear, actionable recommendations to technical and non-technical stakeholders
• Write efficient, scalable SQL queries to extract, transform, and validate data from multiple sources, ensuring metric accuracy and consistency
• Perform exploratory data analysis and statistical modeling using Python to inform strategic and operational decisions
• Apply statistical techniques to support experimentation, A/B testing, and causal analysis
• Build and maintain dashboards and automated reporting using BI tools (Tableau, Power BI, Looker) and develop scalable, reusable analytical assets
• Build, validate, and interpret machine learning models, including segmentation, propensity modeling, forecasting, and predictive scoring
• Evaluate and apply AI tools responsibly, ensuring analytical outputs are accurate, explainable, reproducible, and aligned with business context.
• Conduct in-depth root cause analysis that goes beyond obvious or surface-level issues, connecting business data to technical and operational context to deliver actionable recommendations
• Produce retention and engagement growth analysis reports for marketing leadership, routing findings through the appropriate internal review process before they reach VP stakeholders
• Apply working knowledge of e-commerce and two-sided marketplace business dynamics to frame analyses and recommendations in the right business context

Preferred Qualifications:

• Hands-on experience building and validating machine learning models (regression, classification, clustering, time-series forecasting)
• Experience supporting ML workflows- feature engineering, model selection, validation, and performance tracking
• Python skills for data analysis and data science (pandas, numpy, scikit-learn) - a secondary but valued skill alongside SQL
• Familiarity with deploying or monitoring ML models in production environments
• Experience with cloud data warehouses (Snowflake, BigQuery, Redshift)
• Background in e-commerce, marketing, product, or growth analytics, particularly retention and engagement analysis
• Experience building more scalable, automated, and AI-enabled analytics workflows.
• Master's degree in Computer Science, Economics, Statistics, or a related field

Minimum Requirements:

• Bachelor's degree in computer science, Economics, Statistics, or a related field required
• 2-5 years of non-internship experience in data analytics, data science, or a related role (this is a mid-level position, not entry-level)
• Advanced SQL proficiency required from day one (complex joins, window functions, performance optimization)
• Solid understanding of statistics, probability, and analytical best practices
• Experience with experimentation, hypothesis testing, or causal analysis
• Hands-on experience with BI and visualization tools (Tableau, Power BI, ThoughtSpot, etc.)
• Proven ability to translate business questions into analytical frameworks and communicate insights clearly
• Practical experience using Claude Code or similar AI-assisted coding and analytics tools, with the ability to critically review and validate AI generated output.
• Understanding of e-commerce or any two-sided marketplace business dynamics
• Comfort operating with ambiguity, especially during the first three months of training, including the ability to analyze data and determine the right direction from limited initial guidance

#LI-ES1

Five Principles for Success
Our worldwide practices describe specific behaviors that make Rakuten unique and united across the world. We expect Rakuten employees to model these 5 Shugi Principles of Success.
Always improve, Always Advance - Only be satisfied with complete success - Kaizen
Passionately Professional - Take an uncompromising approach to your work and be determined to be the best
Hypothesize - Practice - Validate - Shikumika - Use the Rakuten Cycle to succeed in unknown territory
Maximize Customer Satisfaction - The greatest satisfaction for our teams is seeing their customers smile
Speed!! Speed!! Speed!! - Always be conscious of time - take charge, set clear goals, and engage your team

Rakuten is an equal opportunity employer. Accessibility accommodations for candidates with disabilities participating in the selection process are available on request. Any information received related to accommodation needs of applicants will be addressed confidentially.

As part of our Rakuten interview process, we encourage applicants to use their own words, rather than AI-generated content. Tell us your story in a way that's personal and authentic.

Rakuten would like to thank all applicants for their interest in this role however only qualified candidates will be shortlisted.

Beware of fraudulent job offers claiming to be from Rakuten. Rakuten does not send unsolicited job offers or request money during the recruitment process. Learn more: https://rakutenemploymentalert.com/

At the time of posting, Rakuten expects the Compensation (base salary + discretionary bonus) for this role to be within the range shown below. Individual compensation will vary based on job-related factors, including the skills, qualifications, and experience of the successful candidate as well as business need and geographic location. The successful applicant for this role will be eligible for stock options, health, vision, dental insurance, RRSP matching, Personal Time Off (PTO), Volunteer Time Off (VTO), and other employee benefits as the company implements.

CAD $63,394.00 - 99,112.48 annually