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Internship Ibm Computer Science Jobs in Toronto, ON

Waabi

Research Internship/Co-op

Toronto, ON

CA$45 - CA$60/hr

Bachelors or MS/PhD degree in Computer Science, Engineering, AI, Machine Learning, Computer Vision ... Demonstrated research/software engineering experience: through previous internships, work ...

Td

Data Science Intern/Co-op (WINTER 2027)

Toronto, ON · On-site

CA$45K - CA$74K/yr

Internship/Co-op Work Term: Winter/Term 2 Work Location: Toronto, Ontario, Canada Hours: 37.5 Pay ... Currently enrolled in a degree in Computer Science, Software Engineering, Data Science, Computer ...

New

Td

AI2 Data Science Co-op (WINTER 2027)

Toronto, ON · Hybrid

Internship/Co-op Work Term: Winter/Term 2 Work Location: Toronto, Ontario, Canada Hours: 37.5 Pay ... Currently enrolled in either a recognized undergraduate or graduate degree majoring in Computer ...

New

GlassHouse Systems

Cloud Architect

Toronto, ON · On-site

CA$160K - CA$200K/yr

A Bachelor's Degree or equivalent experience in Computer Information Systems, Computer Science, Mathematics or a related field. * Completion of IBM Cloud Professional Architect and IBM Cloud Advanced ...

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Internship Ibm Computer Science information

What is the difference between Internship Ibm Computer Science vs Software Engineer Intern?

AspectInternship Ibm Computer ScienceSoftware Engineer Intern
Required CredentialsTypically pursuing a Computer Science degree or related fieldSame as IBM internship, often requiring ongoing CS coursework
Work EnvironmentCorporate office, research labs, or remoteTech companies, startups, or corporate offices
Industry UsageUsed across tech, consulting, and enterprise sectorsPrimarily in software development and tech firms
Common Search/ComparisonYesYes

Both internships target students in Computer Science, offering hands-on experience in software development. The IBM internship emphasizes exposure to enterprise solutions and research, while a Software Engineer Intern role focuses more on coding, application development, and software projects within tech companies. The key differences lie in the specific industry focus and potential project types, but both serve as valuable entry points into tech careers.

Is an internship at IBM worth it?

An internship at IBM provides valuable industry experience, exposure to cutting-edge technologies like cloud computing and AI, and opportunities to develop professional skills. It can enhance a resume and improve job prospects in the tech field, especially for those interested in computer science roles. The experience often includes mentorship, networking, and potential pathways to full-time employment.

Is it hard to get an IBM internship?

Securing an IBM Computer Science internship can be competitive, as the company looks for candidates with strong technical skills, relevant coursework, and sometimes prior project experience. Applicants often need to demonstrate proficiency in programming languages, problem-solving abilities, and a good academic record to improve their chances.

Which internship is best for a computer science student?

The best internship for a computer science student depends on their interests and career goals, but highly regarded options include internships at major tech companies like IBM, Google, and Microsoft, which offer hands-on experience with software development, data analysis, and emerging technologies. These internships typically require strong programming skills in languages such as Java, Python, or C++, and may involve working on real-world projects in a collaborative environment. Gaining relevant certifications or participating in coding competitions can also enhance internship prospects.

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For Internship Ibm Computer Science jobs in Toronto, ON, the most frequently searched job titles are:

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What cities near Toronto, ON are hiring for Internship Ibm Computer Science jobs?

Cities near Toronto, ON with the most Internship Ibm Computer Science job openings:

Internship Ibm Computer Science jobs near you
Infographic showing various Internship Ibm Computer Science job openings in Toronto, ON as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Lead Data Scientist- IBM Watson

Toronto, ON • Remote

Fusemachines
Software Development • 51 - 200 employees
Learn more about Fusemachinesexternal

Contractor

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.
Type: Full-time, Remote

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
  • Team Leadership: Lead a team of data scientists to develop innovative solutions to complex business problems. Mentor and develop the skills of junior data scientists and provide feedback and guidance to help them improve their work.
  • Collaboration: Collaborate with cross-functional teams, including business stakeholders, product managers, software engineers, and data engineers to develop and implement data-driven solutions.
  • Strategic Assessment: Assess the business needs of clients and identify areas where AI can be used to improve processes, reduce costs, or increase revenue.
  • Solution Design: Design and implement statistical models, machine learning algorithms, predictive analytics models, and agentic systems to solve business problems.
  • Communication: Communicate technical insights and recommendations to non-technical stakeholders in a clear and concise manner.
  • Continuous Learning: 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.
  • Pipeline Management: Responsible for developing, implementing, and managing 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 for the Role
  • Education: Bachelor's, Master's, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field.
  • Experience: 6+ years of total experience in Data Science, Machine Learning & Generative AI.
  • Cloud Computing: 4+ years of hands-on experience with AWS, including deep expertise in deploying models and managing compute environments.
  • IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX
  • Agentic AI Tools: Experience with LangGraph, Google ADK or similar.
  • Agentic Architectures : Experience with advanced RAG & multi-agent systems.
  • Programming: Strong programming skills in languages such as Python, R, C++, and SQL.
  • Frameworks: Hands-on experience with ML frameworks, such as PyTorch or TensorFlow.
  • Leadership: Experience leading data science teams and managing multiple projects simultaneously.
Soft Skills: Strong problem-solving skills, attention to detail, and excellent communication skills (both written and verbal).
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.

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