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Remote Data Science Intern Jobs in Toronto, ON (NOW HIRING)

Autodesk

Senior Data Analyst

Toronto, ON · On-site +1

We are open to remote candidates based in Canada. Responsibilities * Own analytics projects from ... Partner with Data Scientists toidentifyareas of improvement forData Science models * Work with Data ...

Micro1

Remote Physics Expert (PhD)

North York, ON · Remote

Physics Expert (PhD) $80 - $90/hourpay Required Skills Advanced physics knowledge scientific data ... Remote micro1 is engaging Physics (PhD) experts to contribute their advanced knowledge to a high ...

New

Micro1

Remote Physics Expert (PhD)

Vaughan, ON · Remote

Physics Expert (PhD) $80 - $90/hourpay Required Skills Advanced physics knowledge scientific data ... Remote micro1 is engaging Physics (PhD) experts to contribute their advanced knowledge to a high ...

New

Mercor

AI Research Scientist - PhD

Toronto, ON · Remote

CA$55 - CA$80/hr

Remote Role Responsibilities * Contribute subject matter expertise to a cutting-edge project ... PhD or advanced degree in Medicine / Healthcare , Statistics and Data Science , AI / ML Research ...

Mercor

Software Engineering Expert - AI/ML

Toronto, ON · Remote

CA$60 - CA$75/hr

Software & Data Science Expert Type: Contract Compensation: $60-$75/hour Location: Remote Commitment: 15-20 hours/week Role Responsibilities * Author tasks to test AI reasoning over technical ...

NTT DATA Services

Senior AI Engineer - Remote

Toronto, ON · On-site +1

CA$147K - CA$245K/yr

... data scientists and other stakeholders to understand business needs and goals Ensuring the AI ... The starting pay range for this remote role is $147,000.00-$245,000.00. This range reflects the ...

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Remote Data Science Intern information

What is a Remote Data Science Intern?

A Remote Data Science Intern is a student or recent graduate who works with a company or organization on data science projects while working from a location outside the main office, typically from home. Their tasks often include analyzing large datasets, creating data visualizations, building statistical models, and supporting the team with data-driven insights. Remote internships offer flexibility and allow interns to gain real-world experience in data science while collaborating with teams using digital communication and project management tools. This type of internship helps interns build valuable technical and soft skills that are essential in the evolving data science field.

What types of projects do Remote Data Science Interns typically work on, and how do they collaborate with their teams?

Remote Data Science Interns often work on projects such as data cleaning, exploratory data analysis, building predictive models, or developing data visualizations. Collaboration typically occurs through virtual meetings, shared code repositories, and project management tools, allowing interns to interact regularly with data scientists, engineers, and business analysts. Interns are usually assigned a mentor or supervisor who provides guidance and feedback, helping them align their work with team objectives. This setup not only enhances technical growth but also fosters communication and teamwork skills essential for future roles.

What is the difference between Remote Data Science Intern vs Remote Data Analyst?

AspectRemote Data Science InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in Data Science, Computer Science, or related fieldsOften holds a degree in Statistics, Mathematics, or related areas; may have certifications in data analysis tools
Work EnvironmentInternship programs, often part-time or project-based, with mentorshipFull-time or part-time remote roles, focusing on data interpretation and reporting
Employer & Industry UsageUsed by tech companies, startups, and research institutions for entry-level talentCommon across finance, marketing, healthcare, and tech industries for data-driven decision making

The main difference between a Remote Data Science Intern and a Remote Data Analyst lies in experience and scope. Interns are typically students or recent graduates gaining hands-on experience, while Data Analysts are more experienced professionals focused on analyzing and interpreting data to support business decisions. Both roles often work remotely and require familiarity with data tools, but their responsibilities and career stages differ.

What are the key skills and qualifications needed to thrive as a Remote Data Science Intern, and why are they important?

To thrive as a Remote Data Science Intern, you need a solid background in statistics, programming (Python or R), and data analysis, typically supported by coursework in data science or related fields. Familiarity with tools like Jupyter Notebook, SQL databases, and version control systems such as Git is often expected. Strong problem-solving abilities, self-motivation, and clear communication skills help you collaborate effectively and manage tasks independently in a remote setting. These skills ensure you can analyze data accurately, contribute to team projects, and adapt to the demands of remote work environments.
What are the most commonly searched types of Remote Data Science jobs in Toronto, ON? The most popular types of Remote Data Science jobs in Toronto, ON are:
What are popular job titles related to Remote Data Science Intern jobs in Toronto, ON? For Remote Data Science Intern jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Remote Data Science Intern jobs in Toronto, ON look for? The top searched job categories for Remote Data Science Intern jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Remote Data Science Intern jobs? Cities near Toronto, ON with the most Remote Data Science Intern job openings:
Remote Data Science Intern jobs near you
Infographic showing various Remote Data Science Intern job openings in Toronto, ON as of July 2026, with employment types broken down into 1% As Needed, 71% Full Time, 26% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
AI & Strategic Analytics Intern - Fall 2026

AI & Strategic Analytics Intern - Fall 2026

McKesson

Mississauga, ON • On-site, Remote

CA$17.69 - CA$22.21/hr

Full-time

Posted 3 days ago

New

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 208 frontline employees who took The Breakroom Quiz

41st of 74 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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