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Part Time Computer Science Jobs in Ontario (NOW HIRING)

Coding & Robotics Tutor

Brampton, ON · On-site

CA$18 - CA$20/hr

... * Part-time position * Weekday evening and weekend shifts * In-person classes * Small class sizes ... Introduce students to computer science and problem-solving concepts * Help students build, program ...

CA$30/hr

Computer Systems Workshop: Preferably students in Computer Science or Software Engineering. * ML ... 4 (Part time) Position Start Date: 2026-08-31 Position End Date: 2026-12-31 Deadline to Apply ...

CA$30/hr

Computer Systems Workshop: Preferably students in Computer Science or Software Engineering. * ML ... 4 (Part time) Position Start Date: 2026-08-31 Position End Date: 2026-12-31 Deadline to Apply ...

HEALTH INFORMATION ANALYST

Toronto, ON · Hybrid

CA$42.68 - CA$46.31/hr

University degree in Computer Science, Health Sciences, Statistics or approved equivalent ... NOTE TO INTERNAL FULL-TIME AND PART-TIME CITY OF TORONTO EMPLOYEES: City of Toronto employees must ...

CA$18.15 - CA$30.30/hr

Enrolled in a college diploma or a university degree in the field of engineering, computer science ... Be a full-time or part-time CEGEP, College or University student; and Be returning to full-time or ...

CA$18.15 - CA$30.30/hr

Enrolled in a college diploma or a university degree in the field of engineering, computer science ... Be a full-time or part-time CEGEP, College or University student; and Be returning to full-time or ...

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Showing results 1-20

Part Time Computer Science information

See Ontario salary details

$20K

$49.4K

$102.5K

How much do part time computer science jobs pay per year?

As of Sep 8, 2026, the average yearly pay for part time computer science in Ontario is $49,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,000.00 and $58,000.00 per year, depending on experience, location, and employer.

What are part-time jobs in computer science?

Part-time computer science jobs focus on developing programs, engineering computer infrastructure, providing support for computer systems, and teaching computer-related subjects. As a part-time computer science professional, you perform your duties for less than 40 hours per week. As a computer science instructor, you teach coding and related skills to help students learn to develop or build programs, platforms, and networks. Your responsibilities as a computer scientist include installing, repairing, or customizing software or systems. You can also work in a job where you provide technical support for computer users. Some part-time professionals freelance or work on weekends and evenings.

What are the key skills and qualifications needed to thrive as a part-time computer science instructor, and why are they important?

To thrive as a Part-Time Computer Science Instructor, you should have a solid background in programming languages, algorithms, and computer science fundamentals, typically supported by a relevant degree or professional experience. Familiarity with learning management systems (LMS), coding platforms, and common programming tools is important for effective instruction and student engagement. Strong communication, adaptability, and patience help instructors explain complex concepts clearly and support diverse learners. These skills ensure that students receive quality education and are well-prepared for careers in technology.

What are some common challenges faced by part-time computer science professionals, and how can they be addressed?

Part-time Computer Science professionals often face challenges such as managing workload across limited hours, staying updated with rapidly evolving technologies, and integrating effectively with full-time team members. To address these, clear communication with supervisors about workload expectations is essential, as is setting aside dedicated time for skill development. Additionally, participating in regular team meetings and utilizing collaboration tools can help maintain strong connections with colleagues and ensure project alignment despite reduced hours.

What is the difference between Part Time Computer Science vs Part Time Software Developer?

AspectPart Time Computer SciencePart Time Software Developer
Required CredentialsTypically a degree or coursework in computer scienceOften a degree in computer science or related field, sometimes self-taught
Work EnvironmentAcademic settings, research labs, or online learning platformsTech companies, startups, freelance projects, or remote work
Employer & Industry UsageEducational institutions, research organizations, online education providersSoftware firms, IT departments, freelance clients
Common Search & Comparison IntentUnderstanding academic or foundational roles in computer scienceSeeking practical software development opportunities in part-time roles

Part Time Computer Science generally focuses on foundational knowledge, research, and academic coursework, while Part Time Software Developer emphasizes practical coding, application development, and project work. Both roles often require similar educational backgrounds but differ in work environment and industry application.

What is the easiest part time computer science job to get?

Part-time roles such as data entry, technical support, or basic web development are generally easier to obtain in computer science, especially for those with foundational skills in programming, troubleshooting, or using common tools like HTML or Excel. These positions often require minimal experience and can be suitable for students or those new to the field.

What jobs can you get with a part time computer science degree?

A part-time computer science degree can qualify you for roles such as software developer, web developer, technical support specialist, or data analyst. These positions often require knowledge of programming languages, problem-solving skills, and familiarity with tools like databases and version control systems. Many of these jobs offer flexible schedules suitable for part-time work.

What are the most commonly searched types of Computer Science jobs in Ontario?

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

What are popular job titles related to Part Time Computer Science jobs in Ontario?

For Part Time Computer Science jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Part Time Computer Science jobs in Ontario look for?

The top searched job categories for Part Time Computer Science jobs in Ontario are:

Infographic showing various Part Time Computer Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $49,438 per year, or $23.8 per hour.

Vice President, Data Scientist

BMO Capital Markets

Toronto, ON

CA$120K - CA$150K/yr

Full-time, Part-time

Medical, Life, Retirement

Re-posted 4 days ago


Key responsibilities

  • Develop and implement advanced analytics and machine learning models to support algorithmic trading strategies.

  • Build predictive models for trading across various asset classes and analyze large datasets to extract insights.

  • Collaborate with trading desks and stakeholders to identify opportunities, optimize strategies, and communicate findings.


Job description

Application Deadline:

Address:

100 King Street West

Job Family Group:

Capital Mrkts Sales & Service

BMO Capital Markets is a leading, full-service North American-based financial services provider, withover 2,700 professionals in 30 locations around the world, including 20 offices in North America, offering corporate, institutional and government clients access to a complete range of investment and corporate banking products and services.BMO Capital Markets is a member of BMO Financial Group (NYSE, TSX: BMO), one of the largest diversified financial services providers in North Americawith US$1.0 trillion total assets andapproximately 54,000 employees as of January 31, 2025.

About the Role

We are seeking a talented and experienced Data Scientist to join our Data Cognition Team at BMO Capital Markets. As a Data Scientist, you will be responsible for developing and implementing advanced analytics and machine learning models to support algorithmic trading strategies, and drive business decisions in the front office, Investment Banking, and Corporate Banking. You will collaborate closely with business teams and other stakeholders to understand their data needs and provide insights that improve trading performance and profitability.

Our Team

The Data Cognition Team (DCT) at BMO Capital Markets delivers a scalable, customizable, and sustainable suite of AI-enabled products for multiple business units. Leveraging cutting-edge data and analytics technologies, we solve complex business challenges and drive strategic transformation across Investment Banking, Global Markets, and other divisions.

Key Responsibilities

Develop and implement advanced analytics and machine learning models using techniques such as Generative AI, Deep Learning, and Reinforcement Learning.

Build predictive models for algorithmic trading across asset classes including Equities, Fixed Income, Commodities, and Foreign Exchange.

Collaborate with trading desks, investment banking teams, and corporate banking stakeholders to identify opportunities and optimize strategies.

Research and experiment with new machine learning techniques, including time series analysis, to improve trading performance and profitability.

Design and maintain reproducible machine learning pipelines for production environments.

Analyze large datasets to extract insights and support strategic decision-making.

Communicate complex technical concepts to non-technical stakeholders and present findings to senior management.

Visualize complex data clearly and concisely for business consumption.

Qualifications

Ph.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 learning; experience in capital markets is a strong asset.

Proficiency in statistical modeling, time series analysis, and machine learning frameworks.

Strong programming skills (Python preferred) and experience with cloud technologies.

Familiarity with financial tools such as Bloomberg, FactSet, and Thomson Reuters is a plus.

Excellent problem-solving skills and ability to formulate hypotheses and learn from data.

Strong communication skills for effective collaboration with technical and business stakeholders.

Team-oriented, adaptable, and detail-focused with a results-driven mindset.

Nice to Have

Experience with Generative AI and advanced ML techniques.

Knowledge of investment banking concepts, trading strategies, and financial data formats.

Familiarity with MLOps tools and practices for model deployment and monitoring.

What We Offer

Join our dynamic team at BMO Capital Markets and contribute to solving complex challenges in investment banking and global markets using innovative technologies. We offer opportunities for professional growth, access to cutting-edge tools, and the chance to make a significant impact on critical business operations. Apply today with your resume, highlighting your relevant experience in data science and finance.

Base Salary: $120,000-$150,000 CAD

(subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

Salary:

Pay Type:

Salaried

The above represents BMO Financial Group's pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position.

BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:https://jobs.bmo.com/global/en/Total-Rewards

About Us

At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https://jobs.bmo.com/ca/en.

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other's differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.