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Data Science Fall Internship Jobs in Ontario (NOW HIRING)

... data science and AI expertise within CIBC and is leading the way in applying best practices in ... ops, internships, research projects, thesis work, or side projects. You can demonstrate ...

Finance Intern

Aurora, ON · On-site

CA$21 - CA$23/hr

VFS Canada is currently looking for post-secondary students for Fall Internship/Co-op paid ... Perform statistical analysis and assist in data pre-processing What You Bring? * Experience working ...

Interns will report directly to an Architect or Project Manager and will support the architecture ... science & technology, healthcare, multifamily, retail, hospitality and public/institutional ...

Intern, Architecture (Fall)

Ottawa, ON · On-site

CA$18 - CA$22/hr

Interns will report directly to an Architect or Project Manager and will support the architecture ... science & technology, healthcare, multifamily, retail, hospitality and public/institutional ...

Showing results 21-40

Data Science Fall Internship information

See Ontario salary details

$13K

$77.4K

$189K

How much do data science fall internship jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data science fall internship in Ontario is $77,358.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $117,500.00 per year, depending on experience, location, and employer.

What types of projects can I expect to work on during a data science fall internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

What are the key skills and qualifications needed to thrive as a data science fall intern, and why are they important?

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a data science fall internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Ontario? For Data Science Fall Internship jobs in Ontario, the most frequently searched job titles are:
What cities in Ontario are hiring for Data Science Fall Internship jobs? Cities in Ontario with the most Data Science Fall Internship job openings:
Infographic showing various Data Science Fall Internship job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,358 per year, or $37.2 per hour.

Data Engineering Student (4 months) - Fall 2026

Canadiantirecorporation

Toronto, ON

CA$23 - CA$30/hr

Full-time

Retirement

Posted 7 days ago


Job description

Our Commitment to Students

At Canadian Tire, we are committed to providing students with a supportive and collaborative environment that fosters knowledge sharing and offers key experiences to help them develop their capabilities through projects and objectives. We believe in setting specific and measurable goals that align with our business objectives to support learning and help students achieve their full potential. Our culture emphasizes learning from others, continuous improvement, agility, growth, and innovation, and we are invested in building a talented, diverse workforce for the future of Canada and Canadian Tire. Additionally, we are dedicated to building strong relationships with our student employees by engaging with them throughout their education and career pursuits and creating opportunities for ongoing communication and relationship building.

What you'll do:

We are seeking a motivated Data Engineering Student to join our team! This role will focus on building and optimizing data pipelines, ensuring data quality, and supporting analytics initiatives across the organization:

  • Design, develop, and maintain ETL (Extract, Transform, Load) processes for large-scale datasets.

  • Work with cloud platforms (e.g., Azure, Hadoop) to manage data storage and processing.

  • Collaborate with data scientists and analysts to ensure data availability and integrity.

  • Implement data validation and monitoring tools to maintain high-quality datasets.

  • Document workflows and contribute to best practices for data engineering.

What you bring:

  • Currently enrolled in a post-secondary program in Computer Science, Engineering, Data Science, or a related discipline

  • Familiarity with SQL and one programming language (Python, Java, or Scala).

  • Understanding of data modelling and relational databases.

  • Exposure to big data technologies (e.g., Spark, Hadoop) is an asset.

  • Strong problem-solving and communication skills.

We're always looking for great talent! In addition to competitive pay, we offer:

  • Career growth opportunities and product discounts

Broadband Salary Range:$23.00 - $37.00 CAD hourly

Our typical hiring range is between $23.00 and $30.00 hourly. Salary decisions are also dependent on other factors such as your experience, industry benchmarks, internal equity and other role-specific requirements. We're committed to attracting top talent. For critical roles, the compensation offering will be reviewed to ensure alignment with market rate and conditions and the unique value you bring to the role.

#LI-MM3

This posting represents an existing vacancy within our organization.


We may use artificial intelligence tools as part of our recruitment process to assist in the initial screening of resumes. All hiring decisions, including candidate evaluation, selection, and disposition, are made by human recruiters.


About Us


Canadian Tire Corporation, Limited ("CTC") is one of Canada's most admired and trusted companies.With more than 90 Owned Brands, over 1,600 retail locations, financial services, exemplary e-commerce capabilities, and exciting market-leading merchandising strategies. We dream big and work as one to innovate with purpose for our customers at every level of our business, investing in new technologies and products, and doubling down on top talent to drive the company forward. We offer competitive salaries and wages to CTC employees, as well as store discounts, supported learning through our Triangle Learning Academy, Canadian Tire Profit Sharing, and retirement and savings programs for eligible employees. As part of our enhanced flex benefits program, we offer mental health benefits in the amount of $5,000 per year for benefits-eligible employees and their families, including total well-being, and mental health tools and resources for all employees. Join us in helping to make life in Canada better through living and working our Core Values: we are innovators and entrepreneurs at our core, outcomes drive us, inclusion is a must, we are stronger together and we take personal responsibility. It is an especially exciting time to join CTC and its family of companies where career opportunities are wide-ranging! Join us, where there's a place for you here.


Our Commitment to Diversity, Inclusion and Belonging


We are committed to fostering an environment where belonging thrives, and diversity, inclusion and equity are infused into everything we do. We believe in building an organizational culture where people are consistently treated with dignity while respecting individual religion, nationality, gender, race, age, perceived ability, spoken language, sexual orientation, and identification. We are united in our purpose of being here to help make life in Canada better.


Accommodations


We stand firm in our Core Value that inclusion is a must. We welcome and encourage candidates from equity-seeking groups such as people who identify as racialized, Indigenous, 2SLGBTQIA+, women, people with disabilities, and beyond. Should you require any accommodation in applying for this role, or throughout the interview process, please make them known when contacted and we will work with you to help meet your needs.