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Graduate Intern Jobs in Toronto, ON (NOW HIRING)

Education Enrolled in or recently completed a graduate program (Master's) in Computer Science, Data Science, Statistics, Geography, Engineering, or a related quantitative field. Undergraduate ...

Summer Intern 2027 - Marketing

Toronto, ON ยท Hybrid

CA$40K - CA$56K/yr

... New Graduate Program for a seamless career transition. Please note that your application will be considered for multiple positions within this job posting: Events, Marketing Strategy & Operations ...

New

Showing results 41-60

Graduate Intern information

See Toronto, ON salary details

$19.1K

$40.3K

$55.8K

How much do graduate intern jobs pay per year?

As of Sep 3, 2026, the average yearly pay for graduate intern in Toronto, ON is $40,283.00, according to ZipRecruiter salary data. Most workers in this role earn between $33,401.00 and $46,285.00 per year, depending on experience, location, and employer.

What is a graduate intern?

Graduate interns are individuals who have completed an undergraduate degree and are pursuing or have recently completed a graduate program, such as a master's or doctoral degree. They typically participate in internships to gain practical, hands-on experience in their field of study, often as a requirement of their academic program or to enhance their career prospects. Graduate internships can be paid or unpaid and usually involve more advanced responsibilities than undergraduate internships. These positions help interns apply theoretical knowledge, develop professional skills, and build networks within their chosen industry.

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

To thrive as a Graduate Intern, you generally need a relevant academic background, strong analytical skills, and a willingness to learn. Familiarity with industry-specific software, productivity tools like Microsoft Office or Google Workspace, and, if applicable, basic knowledge of project management or research tools are often expected. Initiative, adaptability, strong communication, and teamwork distinguish outstanding interns in a professional environment. These skills and qualities are vital as they enable interns to contribute effectively, learn quickly, and make a positive impression that can lead to future career opportunities.

What types of projects or tasks can a graduate intern expect to work on during their internship?

As a Graduate Intern, you can expect to work on a mix of individual assignments and collaborative projects relevant to your field of study. Typical responsibilities may include data analysis, conducting research, assisting with ongoing departmental projects, and preparing presentations or reports. Interns often work closely with experienced team members and mentors, which provides valuable exposure to real-world workflows and best practices. This hands-on experience not only enhances your professional skills but also helps you build a network within the organization.

What is the difference between Graduate Intern vs Junior Analyst?

AspectGraduate InternJunior Analyst
Required CredentialsTypically pursuing or recently completed a degree, no formal certification requiredBachelor's degree often required; some roles prefer or require certifications in data analysis or related fields
Work EnvironmentTemporary, learning-focused, often part-time or seasonalFull-time, ongoing role with more responsibilities
Employer & Industry UsageInternships offered by companies across industries for training purposesEntry-level position in finance, consulting, or business sectors
Common Search & Comparison IntentYesYes

The main difference between a Graduate Intern and a Junior Analyst lies in experience and responsibilities. Interns are usually students or recent graduates gaining initial exposure, while Junior Analysts are entry-level employees with more defined roles and responsibilities. Internships serve as training periods, whereas Junior Analyst roles are ongoing positions within organizations.

What are the most commonly searched types of Graduate jobs in Toronto, ON?

The most popular types of Graduate jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Graduate Intern jobs?

Cities near Toronto, ON with the most Graduate Intern job openings:

Infographic showing various Graduate Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 16% Part Time, and 3% Contract. Highlights an 92% Physical, 4% Hybrid, and 4% Remote job distribution, with an average salary of $40,283 per year, or $19.4 per hour.

Data Documentation & Quality, Fall 2026 - Toronto (Co-op/Internship) - 4 Months

Quadreal

Toronto, ON โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About QuadReal Property Group

QuadReal Property Group is a global real estate investment, development and operating company headquartered in Vancouver, British Columbia. Its assets under management are $98.5 billion. From its foundation in Canada as a full-service real estate operating company, QuadReal has expanded its capabilities globally for investments in equity and debt in both the public and private markets. QuadReal invests directly through operating platforms in which it holds an ownership interest and via programmatic partnerships.

QuadReal seeks to deliver strong investment returns while creating sustainable environments that bring value to the people and communities it serves. Now and for generations to come.

QuadReal: Excellence lives here.

www.quadreal.com

We are committed to providing our Co-ops/Interns with a student experience that provides a supportive and engaging learning environment while developing skills and business acumen. Students will have the opportunity to participate in a variety of experiences including our Corporate Speaker Series, Fireside Chats, Volunteer opportunities and Networking events.

Eligibility Note: To qualify for a student (Co-op/Internship) opportunity, students must be enrolled in their academic studies at a post-secondary institution (university/college) and must be returning to school after completion of their work term with QuadReal. If you are a student registered in an official co-op program at your post-secondary institution and completion of a final work term is a mandatory component for you to graduate, you are eligible to apply with the understanding that you will leave QuadReal at the end of your work term or have the possibility to be considered for full-time opportunities.

Based in Toronto, the Co-op/Intern, Data Documentation & Quality will report to the Senior Analytical Engineer and support our growing Enterprise Data & Analytics (ED&A) team at QuadReal. This is an entry-level, supervised role: the successful candidate will work from defined specifications and assigned tickets to build automated data quality tests, complete model documentation, and develop straightforward transformation models, using Microsoft Fabric, SQL, dbt, Apache Airflow, and Azure DevOps. All work is reviewed by a senior engineer before it reaches production.

What We Offer:

  • An organization and leaders that support your development through meaningful work experience

  • A Student Mentorship Program designed to provide support throughout your experience

  • Opportunities to build your industry knowledge through weekly Speaker Series & Fireside Chats

  • Opportunities to participate in case competitions within QuadReal during your work term, fostering cross-functional collaboration with intern peers and enhancing exposure to real-world problem-solving.

  • Giving back to the community with your peers and team members through volunteering events

  • Opportunities to build long-lasting industry and professional relationships

What You Will Experience:

  • Work alongside the Data Solutions team, taking direction from a dedicated senior engineer on a defined set of assigned tasks.

  • Build automated data quality tests in dbt, uniqueness, referential integrity, accepted values, and source freshness, against specifications provided by the engineering team.

  • Investigate test and pipeline failures, document your findings, and escalate root-cause analysis to your supervising engineer.

  • Author model and column documentation for our data models, and help keep our auto-generated documentation site and data catalogue current as models change.

  • Develop straightforward transformation models from written specifications, and make scoped modifications to existing models under senior direction.

  • Contribute to our internal engineering handbook, improving the standards and onboarding material the team relies on.

  • Learn modern data stack tooling hands-on; dbt, SQL, Microsoft Fabric, Apache Airflow, and Azure DevOps, inside a real production environment with code review and CI/CD.

What You Will Bring:

  • Currently enrolled in an academic program preferably in Data Analytics, Engineering, Business, Science, Technology, or Mathematics.

  • You write SQL confidently and independently; joins, aggregations, and window functions are familiar ground rather than something you would need to look up.

  • Comfortable using Python for data work, and able to navigate and interpret a Power BI report.

  • Strong quantitative and analytical skills; detail-oriented and at ease building and handling complex data sets.

  • Familiar with Git fundamentals; branching, commits, and pull requests, and ready to work in a code-review culture.

  • Clear and precise written communication; documentation is a meaningful part of this role.

  • Exposure to dbt or a similar templated SQL transformation framework, and familiarity with cloud platforms (Azure/AWS/GCP) and CI/CD, are considered assets.

  • The ability to problem-solve and ask good questions while working in a fast-paced environment.

This job posting is for a newly created role within our organization.

The expected hourly range for this role is $23-25.

#LI-DNP

The actual salary offered will take into consideration a wide array of factors including, but not limited to, the individual's skill, experience, education and training, the market compensation of the role, and the consideration to internal equity.


We value diverse experiences and perspectives. Even if your skills don't align 100% with the listed qualifications or salary range, we encourage you to apply - you may be a great fit for this role or others in our community. Applicants may also be considered for alternative positions within the organization where their qualifications and experience align more closely with available opportunities.


We use artificial intelligence (AI) technology - alongside human review - to assist in screening and assessing applicants for this position. Our recruitment team remains involved in all decisions.


Candidates must be legally authorized to work in Canada as the company does not provide work permit sponsorship for this role.


Note to Recruiters: QuadReal does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to QuadReal, directly or indirectly, will be considered QuadReal property. QuadReal will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for engaged services to submit resumes.


QuadReal Property Group will provide reasonable accommodation at any time throughout the hiring process for applicants with disabilities or for those needing job postings in an alternate format. If you require accommodation, please advise the Talent Acquisition team member you are working with and include the following: Job posting #, your name and your preferred method of contact.