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Material Science Intern Jobs in Toronto, ON (NOW HIRING)

Waabi

Research Internship/Co-op

Toronto, ON

CA$45 - CA$60/hr

Qualifications: - Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning ... materials based on available information. These tools assist our recruitment team but do not ...

All JobsMaterial Science Intern JobsMaterial Science Intern Jobs in Toronto, ON

Material Science Intern information

What types of projects can a material science intern expect to work on, and how do these contribute to the overall goals of the team?

As a Material Science Intern, you can expect to be involved in a variety of projects such as material characterization, testing new composites, and supporting research on material properties for product development. These projects often involve hands-on laboratory work, data analysis, and collaboration with engineers and scientists. Your contributions directly support the team's efforts to innovate and improve material performance, which can impact product quality and manufacturing efficiency. This experience also provides valuable exposure to industry-standard equipment and methodologies, preparing you for more advanced roles in the field.

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

To excel as a Material Science Intern, you typically need a background in materials engineering or a related field, with strong knowledge of material properties and laboratory techniques. Familiarity with analytical instruments such as SEM, XRD, and proficiency in data analysis software like MATLAB or Python are commonly required. Attention to detail, effective communication, and collaboration skills help interns contribute meaningfully to research and team projects. These competencies enable interns to support material development, ensure accurate data collection, and integrate smoothly into research environments.

What does a material science intern do?

A Material Science Intern assists in research and development projects related to the properties, processing, and performance of materials such as metals, polymers, ceramics, and composites. They often work in laboratories or manufacturing settings, performing experiments, analyzing data, and helping to develop new materials or improve existing ones. Interns may also collaborate with engineers and scientists on testing procedures, material characterization, and reporting results. This role provides hands-on experience and practical knowledge in the field of material science, serving as a valuable foundation for a future career.

What is the difference between Material Science Intern vs Materials Engineer?

AspectMaterial Science InternMaterials Engineer
CredentialsTypically pursuing or recent graduate in materials science, engineering, or related fieldBachelor's or master's degree in materials science, metallurgical engineering, or related discipline
Work EnvironmentResearch labs, manufacturing facilities, or R&D departments, often internship-basedDesigning, developing, and testing materials in industrial or manufacturing settings
Industry UsageEntry-level, temporary position for gaining experienceFull-time professional role with responsibilities for product development and process improvement

Material Science Interns typically gain hands-on experience during their studies or early career, focusing on research and learning. Materials Engineers hold full-time roles, applying their expertise to develop and improve materials in industrial settings. The internship serves as a stepping stone toward a career as a Materials Engineer.

Material Science Intern jobs near you
Infographic showing various Material Science Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% Hybrid, and 50% Remote job distribution.

AI & Strategic Analytics Intern - Fall 2026

McKesson

Mississauga, ON • On-site, Remote

CA$17.69 - CA$22.21/hr

Full-time

Posted 24 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

48th 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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