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

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 ...

Waabi

Applied Scientist

Toronto, ON · On-site +1

CA$128K - CA$184K/yr

Qualifications - Minimum of 3+ years of professional experience in an analytical role (e.g., Data Science, Systems Evaluation, or Product Analytics). - BS/MS in a quantitative field such as 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 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:
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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, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Digital Health Student

Hamilton Health Sciences

Hamilton, ON • Remote

Part-time

Posted 2 days ago

New

Job description

Remote Symptom Monitoring Equipment Biomedical Services Intern will participate in initiatives across Health Information Technology Services (HITS) portfolio which includes informatics and solution delivery, application support, data analytics, security and infrastructure and biotechnologies. This exciting opportunity is available for motivated individuals with knowledge of information technology and the intersection with clinical and business policies and processe. Remote Symptom Monitoring Equipment Biomedical Services Intern will be a key member of HITS and will closely work with its members and members of the HHS virtual care teams.  They use their knowledge of health care processes, informatics principles and processes, and health informatics tools to assist both clinical colleagues and the information technology groups to achieve common aims. They work collaboratively with health-care and information technology professionals, project managers, as well as clients and vendors to develop biomedical service  tools to promote to improve efficiency, reduce costs and enhance the quality of patient care. They will support remote symptom monitoring device management, which may include, but may not be limited to: labelling of components, preparation of kits, tracking the location of delivered and returned kits, cleaning the components of returned kits, submitting HITS tickets to have date wiped from returned devices, and preparation of shipping labels for kit delivery to patients and alternate hospital sites, and, retrievals as required. They will contact patients to arrange pick up times as needed. They will monitor and order equipment accessories and parts as required to maintain a fleet of remote symptom monitoring equipment. As well, participating in USER testing implementation for new virtual care opportunities. Participating in evaluation projects to elicit patient satisfaction with virtual care. Directly reporting to the Biomedical Services Manager and working collaboratively and supporting with other activities with virtual care programs when delegated by the Operational Clinical Leader and/or Manager. Further, they may be asked to develop stakeholder needs assessments for education content and strategies and participate in implementation and evaluation of education programs.

Bachelor's degree in a health of science-related discipline, or an equivalent combination of education and experience. Master's degree in progress is preferred.
Demonstrated ability to analyze and participate in the redesign of complex clinical process
Demonstrated expertise with Microsoft products
Demonstrated ability to utilize initiative, vision, independent thinking and creative problem-solving abilities to implement project plans
Demonstrated proficiency in time management, ability to work effectively under time pressure to meet deadlines, balance work priorities and resolve problems in a timely manner
Demonstrated ability to relate and work with employees at all levels of organizations in the health care field.
Demonstrated commitment to the Mission, Vision and Values of HHS and its partners
Demonstrated proficiency in leadership and facilitation skills
Demonstrated comprehensive knowledge of project management principles and methodologies and ability to implement a corporate methodology as well as coach team members on these skills
Demonstrated an understanding of the data interrelationships and dependencies among the various health information systems e.g. decision support systems, electronic health records, order entry, etc.
Demonstrated commitment to continuing education, professional development and life-long learning
Demonstrated ability to initiate and model positive changes

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