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

Manulife

Summer Intern 2027 - AI

Toronto, ON · Hybrid

CA$54K - CA$72K/yr

As an AI Intern, you'll gain hands-on experience applying data science and machine learning techniques to solve real-world business problems. You'll work with modern tools and datasets to explore and ...

Sanofi EU

Lead Data Scientist

Mississauga, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Lead Data Scientist

Unionville, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Lead Data Scientist

Toronto, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Lead Data Scientist

Brampton, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Sanofi EU

Lead Data Scientist

Maple, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of what's possible? Join Sanofi in one of our corporate functions and ...

Td

Data Scientist II

Toronto, ON · On-site +1

CA$81K - CA$115K/yr

Degree, technical certificate or equivalent experience in analytics, data science, statistics, computer science, business or a related field * 3-5 years of experience in analytics, business ...

Intact Financial

Data Scientist II

Mississauga, ON · On-site

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 ...

Intact Financial

Data Scientist II

Ajax, ON · On-site

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 ...

Intact Financial

Data Scientist II

Toronto, ON · On-site

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 ...

Lyft

Data Scientist - Algorithms, Mapping

Toronto, ON · On-site

Data Science is at the heart of Lyft's products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our ...

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

Data Science Intern information

See Markham, ON salary details

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How much do data science intern jobs pay per hour?

As of Sep 7, 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?

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Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Markham, ON as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $66,382 per year, or $31.9 per hour.

Principal Data Scientist (m/f/d)

AutoTrader.ca

Toronto, ON • On-site

Full-time

Retirement

Re-posted 16 days ago

Job description

We are a Canadian leader in digital automotive solutions. Our flagship brands - AutoTrader.ca, AutoSync, Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence. 

AutoTrader.ca is Canada's largest automotive marketplace, with over 25 million monthly visits. 

As part of AutoScout24 group, Europe's largest online car marketplace, we're shaping the future of automotive retail in Canada and beyond.

Join our global Data Science team and take a leadership role in shaping the future of the automotive marketplace through cutting-edge AI and machine learning. As a Principal Data Scientist, you'll spearhead high-impact AI initiatives that influence millions of users worldwide, with a focus on both strategic vision and hands-on innovation. 
 
In this role, you'll collaborate cross-functionally with product, engineering, and business teams to design, build, and scale AI solutions that set us apart in the industry. You'll bring deep technical expertise, a passion for innovation, and a strong product mindset to develop ML products that solve real-world problems and deliver measurable business value. 
 
Our ideal candidate is an experienced data science leader who thrives in a dynamic, fast-paced environment that combines the stability of an industry leader with the agility of a startup culture. You are curious, proactive, and committed to continuous learning, especially in emerging areas like Generative AI and Large Language Models (LLMs). 
 
You should be comfortable engaging with all levels of the organization, from peers to executives, and possess the ability to distill complex information into clear, actionable strategies that drive business decisions and create value. 
 
 
What You'll Do:
 
  • Shape the strategic direction and vision of Data Science across the organization by identifying transformative AI/ML opportunities and championing the team's evolving role in a rapidly advancing GenAI landscape.
  • Lead the design and deployment of predictive and generative AI models that power personalization, pricing, search, and optimization in marketplace and fintech domains.
  • Collaborate with product leaders to align ML initiatives with strategic business goals and drive product innovation through data-driven experimentation and modeling.
  • Architect scalable ML infrastructure and automated workflows using cloud-native tools (e.g., AWS, EC2, Kubernetes) to support efficient model training, deployment, and analytics across diverse datasets.
  • Ensure long-term performance and compliance of production AI models though robust governance and monitoring.
  • Provide technical leadership and mentorship to data scientists, shaping an innovative team culture and fostering high-performance and continuous learning.
  • Serve as a cross-functional technical leader, shaping company-wide technical initiatives beyond data science. Partner with engineering, product, and platform teams to influence architecture, innovation agendas, and technical standards across the organization.
  • Act as a senior technical advisor, leading resolution of complex modeling issues and acting as the escalation point for critical incidents.
  • Lead the exploration and strategic application of GenAI, identifying high-impact use cases and guiding their integration across products and platforms. 
 
What You'll Need:
 
  • Advanced academic credentials in a quantitative field such as Computer Science, Engineering, Mathematics, or related discipline
  • 10+ years of experience in data science, machine learning, or applied AI, with a strong portfolio of high-impact projects in production
  • Expert-level programming skills in Python and SQL, and fluency with leading ML/AI frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
  • Direct experience with GenAI/LLM technologies, including tools like Hugging Face, LangChain, OpenAI APIs, vector databases, and fine-tuning methods
  • Deep knowledge of machine learning algorithms (supervised, unsupervised, deep learning), including model evaluation, explainability, and selection for business-critical use cases
  • Strong hands-on experience with cloud infrastructure (AWS), containerization (Docker), and orchestration (Jenkins, Airflow)
  • Proven capability in MLOps, including CI/CD pipelines, model monitoring, versioning, and automated retraining
  • Experience deploying and serving models through APIs (e.g., Flask, FastAPI) in both real-time and batch-processing environments
  • Excellent communication and stakeholder management skills, able to translate complex concepts into actionable insights for non-technical audiences
  • Demonstrated success mentoring teams, guiding technical strategy, and advocating for best practices in experimentation, reproducibility, and ethical AI
  • Experience working in agile product development environments (Scrum/Kanban); experience influencing product roadmaps is a strong plus 
 
Bonus Points 
 
  • Experience in e-commerce, marketplaces, or high-scale consumer platforms
  • Familiarity with automotive data and applications in pricing, inventory optimization, or recommendation systems
  • Contributions to open-source AI/ML projects, publications, or presentations at industry conferences 
 
Experience leveraging AI, Generative AI (GenAI) to enhance engineering productivity, automate repetitive tasks, and optimize workflows. Candidates should demonstrate the ability to integrate AI-driven solutions into their daily work - such as code generation, debugging, reviews, documentation, and decision support-to improve efficiency for themselves and their teams. A proactive approach to exploring and implementing AI tools that drive innovation and streamline development processes is highly valued
 
If this opportunity excites you, but you're unsure whether your background checks every box, we value passion, curiosity, and a growth mindset. Reach out and tell us what strengths you would bring to the team. We look forward to hearing from you! 

The base salary range for this position is CAD 180K - CAD 220K.

This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.

What's in it for you:

We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best. 

  • Gym discounts 
  • Employee and Family Assistance program 
  • Virtual wellness events 
  • Conferences & training budget 
  • Regular internal training programs 
  • Financial planning with 3% matching Pension  
  • Competitive salary 
  • Annual bonus structure 

For a career where you can drive our business and shape your future, apply now. 

Apply