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Data Science Fall Internship Jobs in Toronto, ON

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Mechanical Engineer Intern - Fall

Toronto, ON · On-site

... sciences and food and beverage industries. Our mission, vision, and core values put client ... Join our firm for an internship journey where you'll dive into real-world project work, learn from ...

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All JobsData Science Fall JobsData Science Fall Internship JobsData Science Fall Internship Jobs in Toronto, ON

Data Science Fall Internship information

See Toronto, ON salary details

$12.4K

$73.8K

$180.4K

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

As of Aug 23, 2026, the average yearly pay for data science fall internship in Toronto, ON is $73,826.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,447.00 and $112,134.00 per year, depending on experience, location, and employer.

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 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 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 Toronto, ON?

For Data Science Fall Internship jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Science Fall Internship jobs in Toronto, ON look for?

The top searched job categories for Data Science Fall Internship jobs in Toronto, ON are:

Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Toronto, ON as of August 2026, with employment types broken down into 18% Internship, 35% Full Time, 43% Part Time, and 4% Contract. Highlights an 85% In-person, 7% Hybrid, and 8% Remote job distribution, with an average salary of $73,826 per year, or $35.5 per hour.

Data Governance Analyst Intern - Fall 2026

McKesson

Mississauga, ON • On-site, Remote

Full-time

Re-posted 14 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical

Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

Program Overview
McKesson's Intern program is designed to provide:

  • A real-life working environment

  • A solid foundation of experience

  • A cohort experience with other interns

  • Consistent senior leadership exposure and learning experiences.

We are looking for candidates who have:

  • Willingness to learn, develop, and contribute to a fun, demanding, fast-paced environment.

  • Self-starter that brings both interpersonal skills abilities to identify a problem then solve it.

  • Passion and enthusiasm for healthcare and our customers' success

Work Term: Fall 2026- September 8th through December 31st
Location: Mississauga, ON, CAN - 2300 Meadowvale Blvd (Hybrid)

The Data Governance Analyst Intern plays a critical role in supporting the execution of data governance strategies within the Specialty Health business unit. This role ensures data quality, consistency, compliance, and integrity across critical data assets, enabling trusted data for analytics, reporting, and regulatory obligations.

The intern collaborates with business stakeholders, data stewards, Enterprise Data Governance, and technology teams to implement governance controls, manage metadata, and drive continuous data quality improvement initiatives.

Works closely with: Data Owners, Data Stewards, Data Quality Analysts, Enterprise Data Governance, Control Partners (Compliance and Legal) and Data & Analytics teams.

Key Responsibilities:

1. Data Governance & Compliance

  • Execute and support enterprise data governance frameworks, policies, and standards.

  • Ensure adherence to regulatory and privacy requirements (e.g., PHI/PII, PIPEDA).

  • Support data classification, retention, and access governance processes.

2. Data Quality Management

  • Define, implement, and monitor data quality rules and controls for critical data elements (CDEs).

  • Perform data profiling, data quality assessments, and trend analysis.

  • Identify, track, and support remediation of data quality issues.

3. Metadata & Data Catalog Management

  • Identify critical data assets and maintain metadata in the enterprise data catalog (e.g., Alation).

  • Define and maintain business glossary terms, data definitions, and lineage.

  • Ensure completeness and accuracy of data asset inventories.

4. Stakeholder Engagement

  • Collaborate with business data owners, stewards, and cross-functional teams to align governance practices.

  • Support stakeholder onboarding to data governance processes and tools.

  • Act as a liaison between business and technical teams to translate governance requirements.

5. Governance Operations & Reporting

  • Support governance KPI development, dashboards, and reporting.

  • Monitor compliance with governance controls and escalate risks or gaps.

  • Document governance procedures, standards, and SOPs.

6. Data Access & Risk Management

  • Support data access reviews and ensure alignment with data sensitivity and classification.

  • Validate access requests and enforce governance approval workflows.

  • Identify risks related to data usage and support mitigation strategies.

Qualifications & Experience

  • Currently enrolled in a degree program in Information Systems, Information Management, Data Management, Health Informatics, Health Information Management, Business Analytics, or a related field.

  • Demonstrates interest in data governance, data privacy, information security, healthcare data management, regulatory compliance, or data quality management.

  • 2-4+ years of experience in data governance, data quality, or data management.

  • Experience working with healthcare, biopharma, or Specialty Health data

  • Strong knowledge of data governance frameworks, data quality methodologies, and metadata management.

  • Familiarity with data governance tools (e.g., Alation) and data platforms (e.g., Snowflake).

  • Understanding of Canadian privacy regulations (e.g., PIPEDA) and PHI/PII handling.

  • Strong analytical, problem-solving, and communication skills.

Key Competencies

  • Data quality and issue remediation

  • Metadata and data catalog management

  • Regulatory compliance and privacy

  • Stakeholder collaboration and communication

  • Governance process execution and documentation

  • Analytical thinking and continuous improvement

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$17.69 - $22.21

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

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