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

Data Scientist II

Toronto, ON · On-site

  • Life

  • Retirement

You'llbuild and deliver data science solutions end-to-end, framing problems with partners, developing and validating models with strong scientific practices, and contributing to a team culture of ...

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to solve business problems. * Mentor and develop ...

Principal Data Scientist

Toronto, ON · On-site

CA$103K - CA$192K/yr

  • Medical

  • Life

  • Retirement

Advanced degree (PhD preferred) in Data Science, Statistics, Applied Mathematics, Economics, or related quantitative field. * 5+ years of data science experience. * In-depth knowledge in machine ...

Vice President, Data Scientist

Toronto, ON

CA$120K - CA$150K/yr

  • Medical

  • Life

  • Retirement

D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance, economics, or operations research preferred). Minimum 3 years of experience in data science or machine ...

Data Scientist, Decisions - Payments

Toronto, ON · On-site

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

Experience in programming, especially with data science and visualization libraries in Python or R * Strong oral and written communication skills, and ability to collaborate with and influence cross ...

ALM Scripting & Reporting Intern

Toronto, ON · Hybrid

CA$23 - CA$30/hr

  • PTO

Job Title: Data and Business Intelligence Analyst, Intern Rail Pass Type: Internship/Co-op ... Required Skills and Experience The ideal candidate will be: * 4th or 5th year in a Computer Science ...

Showing results 41-60

Data Science Intern information

See Toronto, ON salary details

$9

$32

$83

How much do data science intern jobs pay per hour?

As of Aug 13, 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 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 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 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.
What are the most commonly searched types of Data Science jobs in Toronto, ON? The most popular types of Data Science jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Data Science Intern jobs? Cities near Toronto, ON with the most Data Science Intern job openings:
Infographic showing various Data Science Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $66,869 per year, or $32.1 per hour.

Data Scientist II

Intact Financial

Toronto, ON • On-site

Full-time

Life, Retirement

Re-posted yesterday


Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

94,200 - 115,200

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

10%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

We're looking for Data Scientist II to join our growing teams.You'llbuild and deliver data science solutions end-to-end, framing problems with partners, developing and validating models with strong scientific practices, and contributing to a team culture of high-quality engineering, knowledge sharing, and continuous improvement.


What you'll do here:


  • Build,validate, and deliver analytics and machine learning solutions that translate complex data into clear insights and recommendations.
  • Write production-quality code that is stable, testable, and maintainable; contribute to shared standards through code reviews and documentation.
  • Apply sound statistical and machine learningmethodology(e.g., experiment design,appropriate validation, model evaluation, monitoring) and continuously improve how we measure quality and impact.
  • Work independently on scoped problems-from ambiguity to implementation-taking ownership of technical tasks and driving them to completion.
  • Recommend and useappropriate tools, packages, and libraries to solve problems efficiently and reliably.
  • Partner closely with stakeholders across the organization to define success metrics, communicate trade-offs, and enable data-driven decisions.
  • Support and elevate teammates by collaborating on technical challenges, sharing best practices, and contributing to a learning culture.
  • Help the team stay focused on priorities by raising risks early,aligning onscope, and contributing to the technical direction and evolution of our approaches and platforms.
  • Maintain and improve data science tools and platforms, helping ensure efficiency, reliability, and repeatability of our work.

What you bring to the table:


  • Degree in a relevant discipline (e.g., mathematics, engineering, operations research, statistics, geomatics, AI) or an equivalent combination of education and experience.
  • 2+ years of experience in advanced statistics, data mining, and/or text mining, with evidence of delivering real-world outcomes.
  • Strong Python skills and Git-based development practices (e.g., version control, peer review); experience writing tests and producing clear technical documentation.
  • Solid understanding of machine learning methods and when to use them; comfortable explaining results and limitations to both technical and non-technical audiences.
  • Strong problem-solving skills and comfortoperatingin partially defined problem spaces.
  • Strong communication, organizational, and time management skills in a multi-project environment.
  • No Canadian work experiencerequiredhowever must be eligible to work in Canada.

Assets (nice to have)


  • Insurance Pricing / Segmentation (e.g., GLM/GBM, segmentation, model calibration, portfolio impact measurement).
  • AI Governance experience / AI tool building for underwriting
  • Call Center Optimization (e.g., demand forecasting, staffing/queueing concepts, routing optimization, speech/text analytics).
  • Intelligent Document Processing and Information Retrieval(e.g.,document preprocessing,classificationandsummarization,advanced information retrieval,LLM-assistedand Agenticworkflows, Complex decision making).
  • Usage-Based Insurance (UBI) / telematics (e.g., time-series feature engineering, driver scoring, monitoring drift/seasonality).

#LI-Hybrid

Il s'agit d'un nouveau role au sein de notre equipe en pleine croissance | This role is a new member of our growing team.


We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.

Employment Type: FULL_TIME