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Data Science Intern Jobs in Ontario (NOW HIRING)

Larus Technologies

Data Scientist

Ottawa, ON · On-site

This is an opportunity to work on various data science problems, while communicating directly with enterprise clients to gather requirements, define problems, and develop applied solutions. Key ...

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 ...

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 ...

Autodesk

Bachelor's degree in a relevant field, such as Engineering, Data Science, Statistics, Computer Science, Economics, or equivalent experience * 5+ years of experience in business strategy, analytics ...

Environics Analytics

Data Development Intern

Toronto, ON · On-site

$30/hr

Role Objective: The Data Development Intern plays a central role in building, maintaining, and ... Education Enrolled in or recently completed a graduate program (Master's) in Computer Science, Data ...

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 ...

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses , statistical modeling work , machine learning pipelines , and technical reports.

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning pipelines , and A/B test write-ups

Stripe

In this key role, you will work closely with our Fraud Data Science team to develop and operationalize models that protect Stripe's users. Your responsibilities will include analyzing complex data ...

Sanofi EU

Data Scientist Manager

Maple, ON · On-site +1

CA$125K - CA$180K/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 ...

Manulife

Data Scientist - Hybrid

Toronto, ON · On-site

Experience designing and executing data science experiments and machine learning projects. * Ability to translate business problems into scalable AI solutions. Preferred Qualifications * Experience ...

Sanofi EU

Data Scientist Manager

Toronto, ON · On-site +1

CA$125K - CA$180K/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

Data Scientist Manager

Brampton, ON · On-site +1

CA$125K - CA$180K/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 ...

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Data Science Intern information

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 Ontario?

The most popular types of Data Science jobs in Ontario are:

What are popular job titles related to Data Science Intern jobs in Ontario?

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

What job categories do people searching Data Science Intern jobs in Ontario look for?

The top searched job categories for Data Science Intern jobs in Ontario are:

What cities in Ontario are hiring for Data Science Intern jobs?

Cities in Ontario with the most Data Science Intern job openings:

Data Science Intern jobs near you
Infographic showing various Data Science Intern job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Scientist

Larus Technologies

Ottawa, ON • On-site

Full-time

Medical, Dental, PTO

Re-posted 20 days ago

Job description

Job Summary
Full-time: 37.5 Hours per week, Monday to Friday
Location: Ottawa Office (Up to 3 days per week), 70 Laurier Ave West, Suite 310, Ottawa, ON K1P 5V5 and Ottawa-based Home Office, or, remote if located outside of the National Capital Region.
Reporting To: Director of Technology
Salary Range: $80,000 to 95,000
Type of Vacancy: New
Larus is growing and we are looking for talented and enthusiastic individuals to join our team!  We are in search of self-motivated individuals to join the Larus Labs team as Data Scientists, where we develop end-to-end real-time solutions for the enterprise market. We perform leading-edge research in Artificial Intelligence, Machine Learning, and Data Analytics. This is an opportunity to work on various data science problems, while communicating directly with enterprise clients to gather requirements, define problems, and develop applied solutions.
Key Responsibilities
  • Design and implement scalable, distributed AI/ML-based systems; 
  • Design, development, integration, and testing of AI/ML models;
  • Advocate high-quality and best practices in software design and development; 
  • Close interaction with other team members on system integration and validation; 
  • Perform data analysis, visualization, and modelling with large datasets;
  • Independently interacting clients, explaining technical concepts to technical and non-technical stakeholders;
  • Perform data acquisition, cleaning, and transformation; 
  • Record and document work;
  • Meet sprint goals with the team and release deliverables to stakeholders and     
  • customers; and,
  • Other duties as assigned. 

Qualifications
Some individuals are less likely to apply for a job unless they consider they are a perfect match. At Larus Technologies, we welcome motivated individuals to our diverse and inclusive workplace. Thus, if you are excited about this role but do not have every qualification, we encourage you to apply anyway.  
Expected qualifications include:
  • University undergraduate degree in STEM (e.g., Computer/Software/Electrical Engineering, Applied Math, Engineering Physics, Economics, Computer Science, etc.);
  • Master’s or Ph.D. is considered an asset;
  • 2+ years of direct experience in the design, development, deployment, and verification of AI/ML models in production pipelines;
  • Experience in a client facing role, regularly meeting client demands;
  • Passion for learning and solving complex problems;
  • Strong object-oriented programming in Python; 
  • Strong communication skills; 
  • Ability to work in a dynamic, fast-paced work environment; 
  • Organized and focused; and, 
  • Required to meet qualifications to obtain a Canadian Government security clearance (typically requires the candidate to be a Canadian citizen or permanent resident of Canada).
Technical Skill Requirements, working knowledge of: 
  • Python;
  • Machine Learning and Data Mining;  
  • AI/ML Packages (e.g. Tensorflow, Keras, Scikit-learn, PyTorch, Jax); 
  • Python data analysis and manipulation tools (e.g. pandas, numpy, dask);
  • Source control-based system (e.g. Git);   
  • Trend analysis and predictive modeling; and,
  • Data collection, analysis and reporting. 
Preferred Technical Skills: 
  • MLOps (e.g., Kubeflow); 
  • Distributed Computing (e.g., Coud, Docker, Kubernetes, Dask); 
  • Software Unit Testing (e.g., Python Unittest); 
  • Continuous Integration/Continuous Deployment Systems (e.g., Azure Devops); 
  • Data Visualization (e.g., matplotlib, seaborn, streamlit); 
  • Optimization (e.g., optuna, katib, jmetalpy, GA); and, 
  • Mathematics (e.g., linear algebra, statistics, mathematical programming).
Preferred Client Skills: 
  • Ability to work with client stakeholders across all levels of an organization, from individual contributors to senior executives;
  • Strong interpersonal and relationship-management skills;
  • Strong active-listening skills and the ability to translate business needs into data science solutions;
  • Experience managing client expectations while balancing project scope, timelines, and priorities; and
  • Ability to build trust and credibility with clients through professionalism, responsiveness, and consistent delivery.
Benefits 
  • Competitive compensation package; $80,000-95,000
  • Comprehensive Health and Dental insurance package; 
  • Competitive vacation and paid time off; 
  • Company-sponsored team-building events; and
  • Learning and development opportunities. 

About Larus
Larus Technologies Corporation (http://www.larus.com ) is an Ottawa-based software product and research company capable of developing intelligent systems and engineering simulations primarily for business, Defence and security applications. Larus’ core business areas include Data Analytics and Fusion Solutions, including the Total::Insight™ Decision Support System and the Total::Perception™ Systems Simulation Engine, Software Engineering Services, primarily in the Public Security and Defence sectors; and Research and Engineering, focusing on innovations in Artificial Intelligence, Machine Learning, and Data Science.​ 
We invite enthusiastic and qualified applicants to submit their cover letter and resume through our JazzHR system. 
We thank all applicants; however, only those selected for an interview will be contacted.