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

Lead Data Scientist

Toronto, ON ยท 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

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 ...

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 ยท 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 ...

Role Summary As a Consultant, Data Science at Project X Ltd., you will be providing our clients with your knowledge and experience of making sense of messy, unstructured data. Using your computer ...

Data Scientist II

Toronto, ON ยท On-site

CA$81K - CA$115K/yr

... analytics, data science and/or consulting, ideally in an influencing or advisory capacity ... Demonstrated knowledge and application of analytical languages/tools/platforms such as Python ...

Apply advanced data science and machine learning techniques across a wide range of use cases including predictive modeling, forecasting, classification, anomaly detection, recommendation systems, NLP ...

Showing results 41-60

Data Science Intern information

See Markham, ON salary details

$9

$31

$82

How much do data science intern jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for data science intern in Markham, ON is $31.91, according to ZipRecruiter salary data. Most workers in this role earn between $16.62 and $37.80 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 Markham, ON?

The most popular types of Data Science jobs in Markham, ON are:

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

The top searched job categories for Data Science Intern jobs in Markham, ON are:

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

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

Infographic showing various Data Science Intern job openings in Markham, 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 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $66,382 per year, or $31.9 per hour.

Lead Data Scientist

Fusemachines

Toronto, ON โ€ข Remote

$110K - $140K/yr

Full-time

Re-posted 6 days ago


Job description

About Fusemachines

Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail,  manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

About the role

A Lead Data Scientist is responsible for designing and implementing data-driven solutions to complex business problems. The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and collaborate with cross-functional teams.

 

Responsibilities:

  • Lead a team of data scientists to develop innovative solutions to complex business problems.
  • Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions.
  • Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue.
  • Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems.
  • Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner.
  • 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 the skills of junior data scientists and provide feedback and guidance to help them improve their work.
  • Responsible for developing, implementing, and managing the end-to-end machine learning pipelines. This will involve building, deploying, and maintaining machine learning models, as well as ensuring data quality and system stability.
 

Requirements of the role:

  • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
  • 6+ years experience in Data Scientist or Machine learning. 
  • Strong programming skills in languages such as Python
  • Hands-on experience with ML frameworks, such as PyTorch, or Tensorflow
  • Experience with cloud compute environments such as AWS, GCP, Azure
  • Experience leading data science teams.
  • Ability to work independently and manage multiple projects simultaneously.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication skills both written and verbal.
  • Experience in industries such as finance, healthcare, e-commerce, retail, or marketing is a plus.
Nice to have:
- R, C++, and SQL, Gen AI

Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.

Important: Immigration Sponsorship Policy

Fusemachines is unable to proceed with candidates who require any form of work authorization or immigration support from the company. This restriction applies to all types of support, including:

  • Direct Company Sponsorship: Such as H-1B, J-1, or TN visas.
  • Employer of Record: Listing Fusemachines as the immigration employer on any government documentation.
  • Written Documentation: Providing letters or other support for any work authorization (e.g., OPT, STEM OPT, CPT).
Please read carefully the restrictions before applying.

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