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Intern Deloitte Computer Science Jobs in Toronto, ON

WSP

Intern, Business Intelligence

Toronto, ON · On-site

CA$17.50 - CA$28/hr

As an Intern, Business Intelligence, you'll gain hands-on experience working with data, analytics ... Computer Science, Information Systems, Statistics, Mathematics, Engineering, or a related field.

Ecopia Tech

Business Development (Intern)

Toronto, ON · On-site

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... such as Deloitte, CNBC, and Geospatial World. Example clients include: * Federal Governments ...

Ecopia Tech

Business Development (Intern)

Toronto, ON · Remote

Ecopia's AI-based workflows leverage the latest in machine learning and computer vision to extract ... such as Deloitte, CNBC, and Geospatial World. Example clients include: * Federal Governments ...

ShyftLabs

AI Engineer Intern

Toronto, ON · Hybrid

CA$20 - CA$30/hr

We are looking for an AI Engineer Intern interested in building production-ready AI agents and ... Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence ...

Segal Group

Actuarial Co-op/Intern

Toronto, ON · Hybrid

CA$18 - CA$25/hr

... Science, or related discipline. * Completion of at least one actuarial exam is preferred and the ... Relevant computer and software skills (preferably Excel). * Task management skills. * Detail ...

Segal Group

Actuarial Co-op/Intern

Toronto, ON · Hybrid

CA$18 - CA$25/hr

... Science, or related discipline. * Completion of at least one actuarial exam is preferred and the ... Relevant computer and software skills (preferably Excel). * Task management skills. * Detail ...

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All JobsIntern Deloitte Computer Science JobsIntern Deloitte Computer Science Jobs in Toronto, ON

Intern Deloitte Computer Science information

What does an intern at Deloitte in computer science do?

An Intern at Deloitte in Computer Science typically assists with technology consulting, software development, data analysis, and IT project support. Interns may work on real client projects under the guidance of experienced professionals, contributing to the design and implementation of technology solutions. The role offers hands-on experience with industry tools, exposure to various IT domains, and opportunities to develop both technical and professional skills. Interns also participate in training sessions, networking events, and mentorship programs to deepen their understanding of the consulting industry.

What are the key skills and qualifications needed to thrive as an intern at Deloitte in computer science, and why are they important?

To thrive as a Computer Science Intern at Deloitte, you need a solid understanding of programming languages, algorithms, and data structures, often supported by progress toward a degree in computer science or a related field. Familiarity with software development tools, version control systems like Git, and possibly certifications in relevant technologies such as AWS or Azure are valuable. Strong analytical thinking, effective communication, and a collaborative attitude are essential soft skills for contributing to team projects and learning quickly. These competencies are crucial for successfully supporting real-world client solutions, adapting to fast-paced environments, and maximizing your learning experience during the internship.

What is the difference between Intern Deloitte Computer Science vs Intern Deloitte Software Engineering?

AspectIntern Deloitte Computer ScienceIntern Deloitte Software Engineering
Required CredentialsRelevant Computer Science coursework, possibly some coding certificationsComputer Science background, coding skills, possibly software development certifications
Work EnvironmentResearch, data analysis, algorithm development, technical supportSoftware development, coding, testing, and deployment tasks
Employer & Industry UsageUsed across tech, finance, consulting sectors for technical rolesPrimarily in software development projects within Deloitte's tech and consulting services

Intern Deloitte Computer Science roles focus on research, algorithms, and technical support, while Intern Deloitte Software Engineering positions emphasize coding, software development, and deployment. Both roles require a strong foundation in computer science but differ in daily tasks and project focus.

What types of projects can an intern at Deloitte in computer science expect to work on, and how are tasks typically assigned?

As a Computer Science intern at Deloitte, you can expect to work on a variety of projects that may include software development, data analysis, automation, or cybersecurity, depending on your team's focus. Tasks are typically assigned based on current client needs and your skill set, with interns often collaborating closely with experienced consultants and technical leads. You'll likely participate in team meetings, contribute to coding or testing efforts, and help develop solutions for real-world business challenges. This collaborative environment allows you to learn from professionals while gaining hands-on experience in consulting and technology.

What are the most commonly searched types of Deloitte Computer Science jobs in Toronto, ON?

The most popular types of Deloitte Computer Science jobs in Toronto, ON are:

What are popular job titles related to Intern Deloitte Computer Science jobs in Toronto, ON?

For Intern Deloitte Computer Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Intern Deloitte Computer Science jobs in Toronto, ON look for?

The top searched job categories for Intern Deloitte Computer Science jobs in Toronto, ON are:

Intern Deloitte Computer Science jobs near you
Infographic showing various Intern Deloitte Computer Science job openings in Toronto, ON as of August 2026, with employment types broken down into 56% Part Time, and 44% Temporary. Highlights an 100% In-person job distribution.

AI & Strategic Analytics Intern - Fall 2026

McKesson

Mississauga, ON • On-site, Remote

CA$17.69 - CA$22.21/hr

Full-time

Re-posted 18 hours ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 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)

Job Summary

The AI & Strategic Analytics Intern will support McKesson Specialty Health's Strategic Insights team in exploring innovative applications of artificial intelligence, advanced analytics, and business intelligence. This role offers a unique opportunity to work at the intersection of data, technology, and business strategy, helping identify emerging opportunities to enhance analytics, reporting, decision-making, and operational effectiveness.

The intern will contribute to AI experimentation, analytical research, insight generation, dashboard development, and strategic projects while collaborating with business, product, and technology teams. This role is ideal for a highly curious and innovative student who is passionate about AI, data analytics, and solving complex business problems.

Key Responsibilities

AI Innovation & Experimentation

  • Research emerging AI technologies, industry trends, and innovative analytics practices.

  • Identify opportunities to leverage Generative AI, machine learning, and automation across reporting, analytics, and business processes.

  • Develop proof-of-concept solutions and prototypes to demonstrate AI-enabled use cases.

  • Evaluate AI tools and technologies that can improve efficiency, insight generation, and decision-making.

Data Analytics & Insights

  • Analyze data from multiple sources to identify trends, patterns, and opportunities.

  • Support development of dashboards, scorecards, and visualizations using Power BI and related tools.

  • Assist in generating actionable business insights for leadership and stakeholders.

  • Perform exploratory data analysis and help communicate findings through compelling visualizations and presentations.

Strategic Projects

  • Support AI, analytics, CRM transformation, and reporting initiatives across Specialty Health.

  • Assist with business research, benchmarking, and opportunity assessments.

  • Help build executive presentations, business cases, and strategic recommendations.

Process Improvement & Automation

  • Identify opportunities to streamline manual reporting and analytical processes.

  • Support development of automation solutions using AI, analytics platforms, and low-code tools.

  • Help document best practices, methodologies, and learning materials.

Qualifications

Education

Currently pursuing a Bachelor's or Master's degree in:

  • Computer Science

  • Data Science

  • Artificial Intelligence

  • Machine Learning

  • Statistics

  • Business Analytics

  • Mathematics

  • Engineering

  • or a related field

Preferred Skills

  • Knowledge of Generative AI technologies and large language models (LLMs).

  • Experience with Python.

  • Familiarity with SQL.

  • Exposure to Power BI, Tableau, or similar visualization tools.

  • Experience with Snowflake.

  • Understanding of machine learning concepts and AI model development.

  • Experience with prompt engineering, AI prototyping, or hackathon-style projects is an asset.

  • Strong analytical and problem-solving skills.

  • Excellent communication and storytelling capabilities.

  • Demonstrated curiosity, creativity, and a passion for innovation.

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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