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

Source Code

RQ00745-Data Science Developer

Toronto, ON · On-site

The Data Engineer / Data Science Specialist builds and automates the data foundation that the Engine and its initiatives rely on: cloud-based data pipelines, lake/Lakehouse structures, analytics ...

Ontario 407

Data Scientist

Woodbridge, ON · On-site

CA$85K - CA$115K/yr

Data Science and Analytics Location: 6300 Steeles Ave West, Woodbridge Total Potential Compensation: $85,000-$115,000 Position Summary: The successful candidate will assist in leveraging customer ...

Meridian Credit Union

Data Scientist

Toronto, ON · On-site

CA$68K - CA$100K/yr

Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other predictive models AI and Data Science research and development * Research, code, develop and implement ...

Epistemix

Data Scientist

Toronto, ON · Remote

Follow advancements in data science, machine learning, and healthcare analytics Qualifications * Commitment to understanding customer needs and helping them achieve goals * Creative mindset with a ...

Stripe

Data Scientist, Fraud

Toronto, ON · On-site

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make ...

MasterCard

Director, Data Scientist

Toronto, ON · Hybrid

The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead the development and delivery of machine learning models focused on Anti-Money Laundering and crypto ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Collaborate with cross-functional teams to translate business problems into robust data science solutions. * Support best practices in model development, experimentation, documentation, and data ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Collaborate with cross-functional teams to translate business problems into robust data science solutions. * Support best practices in model development, experimentation, documentation, and data ...

Td

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

You'll gain hands-on experience with data science, and business analytics while building a strong foundation for your career. Key Responsibilities Include: * Explore and analyze large datasets to ...

Stripe

Data Scientist, Link

Toronto, ON · On-site

About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make ...

Td

Data Scientist III

Toronto, ON

CA$96K - CA$136K/yr

The Wealth Operations Data Science team supports the day-to-day activities of the Wealth businesses, working with business partners to address their analytics needs by providing end-to-end support of ...

Pelmorex

Data Scientist - Hybrid

Oakville, ON · Hybrid

Degree in a STEM discipline (Data Science, Statistics, Computer Science, or a related quantitative field); a Master's or PhD is preferred but not required. * 3+ years of data science experience ...

Scientific Games

Staff Data Scientist

Toronto, ON · On-site

Lead the design and delivery of high-impact decision science systems across forecasting ... Partner with the Principal Data Scientist to establish modeling standards, experimentation ...

CanadaHelps

Data Scientist

Toronto, ON · Remote

CA$70K - CA$80K/yr

This is an ideal opportunity for someone that wants to "use data science for good" and apply statistical and machine learning techniques to solve real-world social impact challenges. This is a new ...

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

Data Science Intern information

See Toronto, ON salary details

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How much do data science intern jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data science intern in Toronto, ON is $32.15, according to ZipRecruiter salary data. Most workers in this role earn between $16.75 and $38.08 per hour, depending on experience, location, and employer.

What does a data science intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What types of projects can I expect to work on as a data science intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

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

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.

Can I get an internship in data science?

Yes, data science internships are available for students and recent graduates interested in gaining practical experience with skills like programming, statistics, and data analysis using tools such as Python or R. Applicants typically need a background in related fields and may be required to complete technical assessments or projects during the application process.

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

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

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

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What cities near Toronto, ON are hiring for Data Science Intern jobs?

Cities near Toronto, ON with the most Data Science Intern job openings:

Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $66,869 per year, or $32.1 per hour.

RQ00745-Data Science Developer

Source Code

Toronto, ON • On-site

Full-time

Re-posted 9 days ago

Job description

RQ00745 -Requisition TitleData Science Developer

Location: Toronto (661 University Ave, Suite 1701, Toronto, ON M5G 1M1)

Duration: 6 months + possible extention

Position Summary

Public Health Ontario (PHO) is building provincial enhanced analytics capability and infrastructure that turns public health data into timely analytics, surveillance, and decision support. The Data Engineer / Data Science Specialist builds and automates the data foundation that the Engine and its initiatives rely on: cloud-based data pipelines, lake/Lakehouse structures, analytics models, and visualizations.

The role combines two functions. As a Data Engineer, it automates the data pipeline for analytic products and advanced analyses. As a Data Science Specialist, it helps identify and prioritize use cases and integrate AI techniques (machine learning, NLP) into PHO's work, increasing capacity for modelling, forecasting, and scenario analysis. The role supports both foundational capability/infrastructure work and HealthMap data ingestion and aligns with and advances the Public Health Data Utility (PHDU) on PHO's Azure platform.

Key Responsibilities

  • Participate in product teams to analyze system requirements, and architect, design, code, and implement cloud-based data and analytics products that conform to standards.
  • Design, create, and maintain cloud-based data lake and Lakehouse structures, automated data pipelines, analytics models, and visualizations (dashboards and reports).
  • Liaise with IT colleagues to implement products, conduct reviews, resolve operational problems, and support business partners in the effective use of cloud-based data and analytics products.
  • Analyze complex technical issues, identify alternatives, and recommend solutions.
  • Prepare and conduct knowledge transfer.
  • Automate the data pipeline for analytic products and advanced analyses, including ingestion, ETL, and production for the foundational capability and for HealthMap (DLSPH model data).
  • Help identify and prioritize analytic use cases and integrate AI techniques (machine learning, NLP) into PHO's work.
  • Increase PHO's capacity for modelling, forecasting, and scenario analysis.
  • Build on and advance the PHDU and PHO's Azure data and analytics platform; support data acquisition through data-sharing and governance processes where required.
  • Document methods and transfer knowledge to PHO staff so the pipeline and capability can be sustained beyond the engagement.

Key Deliverables

  • Automated data pipelines and cloud data lake / Lakehouse structures supporting the capability and HealthMap.
  • Analytics models and visualizations (dashboards and reports) conforming to standards.
  • Prioritized AI / ML use cases and supporting models (forecasting, scenario analysis).
  • Knowledge-transfer documentation and sessions for PHO technical staff.

Required Skills

  • Experience with multiple cloud-based data and analytics platforms and coding / programming / scripting tools to create, maintain, support, and operate cloud-based data and analytics products.
  • Experience designing, creating, and maintaining cloud-based data lake and Lakehouse structures, automated data pipelines, analytics models, medallion architecture, and visualizations (dashboards and reporting) in real-world implementations.
  • Deep experience with modern technology stacks: Azure Storage, Azure Data Lake, Azure Databricks Lakehouse, and Azure Synapse. Power BI, Python, SQL, Azure Databricks, and Azure Data Factory.
  • Experience assessing client information-technology needs and objectives.
  • Experience problem-solving to resolve complex, multi-component failures.
  • Experience preparing knowledge-transfer documentation and conducting knowledge transfer.
  • A team player with a track record for meeting deadlines.

Desirable Skills

  • Written and oral communication skills to participate in team meetings, write and edit systems documentation, prepare and present written reports on findings and alternative solutions, and develop guidelines / best practices.
  • Interpersonal skills to explain and discuss the advantages and disadvantages of various approaches.
  • Experience conducting knowledge-transfer sessions and building documentation for technical staff on architecting, designing, and implementing end-to-end data and analytics products.

Expected Skills

  • Be an advanced professional able to apply concepts, practices, and procedures in practice.
  • Work with minimal direction and lead and train others in technical components and concepts.
  • Plan, lead, and deliver complex deliverables that provide options for decisions within the organization.
  • Bring a high level of expertise in the required skill set, specialized in the technical area, and provide specific advisory support as required.

AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.

Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.

INCORPORATED RATE RANGE (7.25 billable hours per day)

  • $68.55/hr - $82.26/hr Inc.

T4 RATE RANGE (7.25 billable hours per day)

  • $54.84/hr - $65.81/hr T4