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Remote Data Science Intern Jobs in Ontario (NOW HIRING)

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

Implement established geospatial data science and remote sensing workflows from data acquisition through processing, analysis, model execution, validation, and delivery. * Acquire, organize, clean ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - 5+ Years experience working in Data Engineering/Data Science utilizing R ...

Lead collaboratively the design of end-to-end geospatial data science and remote sensing workflows, from problem definition and data acquisition through modeling, validation, interpretation, and ...

We are open to candidates in Canada, either hybrid or remote. Responsibilities * Build analytical ... Bachelor's degree in a relevant field, such as Engineering, Data Science, Statistics, Computer ...

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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 does a remote data science intern typically work on, and how do they collaborate with their team?

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 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 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 most commonly searched types of Remote Data Science jobs in Ontario?

The most popular types of Remote Data Science jobs in Ontario are:

What are popular job titles related to Remote Data Science Intern jobs in Ontario?

For Remote Data Science Intern jobs in Ontario, the most frequently searched job titles are:

What cities in Ontario are hiring for Remote Data Science Intern jobs?

Cities in Ontario with the most Remote Data Science Intern job openings:

Infographic showing various Remote Data Science Intern job openings in Ontario as of August 2026, with employment types broken down into 44% Internship, and 56% Full Time. Highlights an 100% Remote job distribution.

Analyst, Data Science & Analytics, Student Intern (Winter 2027 - 4 Months)

Healthcare of Ontario Pension Plan

Toronto, ON โ€ข On-site, Remote

CA$24 - CA$35/hr

Full-time

Medical, Retirement

Posted 6 days ago


Key responsibilities

  • Create and enhance reports and ad-hoc requests using Power BI and SQL.

  • Perform deep dives into complex datasets to uncover actionable insights.

  • Support data governance initiatives, including building out a data catalogue for multiple business applications.


Job description

Why you'll love working here:

  • high-performance, people-focused culture

  • our commitment that equity, diversity and inclusion are fundamental to our work environment and business success, which helps employees feel valued and empowered to be their authentic selves

  • learning and development initiatives, including workshops, Speaker Series events and access to LinkedIn Learning, that support employees' career growth

  • optional membership in HOOPP's world class defined benefit pensionplan, which can serve as an important part of your retirement security

  • virtual fitness, yoga and meditation classes, nutritional consultations and wellness seminars

  • flexible hybrid work model that embraces remote work

  • the opportunity to make a difference and help take care of those who care for us, byproviding a financially secure retirement for Ontario healthcare workers

Application deadline: September 15, 2026

Application requirements: Resume, transcript, and co-op Work history report (Waterloo students only). Cover letter optional.

Job Summary

Are you a bold, quick-thinking, and driven individual seeking the growth and challenge that comes from working with collaborative teams for a dynamic company? Are you intrinsically passionate as a change agent, influencer of growth and have the desire to "move the needle?" If you feel satisfaction at seeing your team's ideas and dreams become reality and answered yes to any of these questions, we want to hear from you!
The Pension Services Data Science and Analytics team at HOOPP (Healthcare of Ontario Pension Plan) is looking for an experienced individual to fill a 4-month student intern, Analyst, Data Science and Analytics. The team delivers insights, analytics, reporting, data governance and subject matter expertise in data warehouse knowledge.

The team's principles are focused on delivering true stakeholder value in a dynamic and fast-paced environment. They keep the lights on and the energy high!

What you will do:

  • Strategic Thinking Skills: Develop the ability to interpret projections and operational data to support high-level decision-making.

  • Reporting Expertise: Ownership in creating/enhancing reports and ad-hoc requests through team and business collaboration utilizing Power BI and SQL

  • Analytical Depth: Strengthen your analytical mindset by performing deep dives into complex datasets to uncover actionable insights.

  • Cross-Functional Collaboration: Learn how to support teams across the organization by delivering tailored analytics and data solutions.

  • Exploration in Machine Learning: Opportunity to evolve existing business processes and reporting through the application of modern ML methods.

  • Tool Mastery: Work within the Microsoft Azure Cloud framework and use industry-standard tools (e.g. Power BI, Azure Machine Learning Studio).

  • Communication of Insights: Improve your ability to synthesize large complex datasets into impactful visualizations and presentations for stakeholders.

  • Data Governance: Supporting ongoing initiative aiming to build out a comprehensive data catalogue for multiple business applications.

What you will bring:

  • Background in anything data!

  • Able and comfortable in working with all levels of management to understand, and when needed to negotiate, requirements and priorities.

  • Solid communication skills to interact across organizations and offer insights to business.

  • Skills from related programs including but not limited to: Computer Science, Mathematics & Statistics, Data Science, Management Engineering.

  • Knowledge of SQL, Power BI, Excel; Python and Azure framework considered an asset.

Analytical

  • Understands the why (curious, asks probing questions, digs deep, open minded).

  • Ability to create clarity and get everyone on the same page.

  • Excellent Requirements documentation (clear, concise).

  • Willing to challenge the status quo and influence improving team processes.

Teamwork

  • Strong 1:1 working experience with Analysts, business leaders, and stakeholders.

  • Provides honest, constructive feedback in an empathetic manner.

  • Identifying and engaging in difficult conversations; Ability to table conflict or team tensions.

  • Builds strong trust and credibility with the team and across the business.

Please note after initial screening a potential skills test will be administered to assess competencies.

The expected hourly rate range for this role is $24.00 to $35.00

The actual hourly rate offered to the successful candidate may vary based on multiple factors including, but not limited to, individual's expertise and level of experience applicable to the role they are being offered.

This job posting is for a newly created role.