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Part Time Data Science Jobs in Toronto, ON (NOW HIRING)

AI CyberSecurity Architect

Toronto, ON · On-site

CA$103K - CA$192K/yr

  • Medical

  • Life

  • Retirement

Data ingestion and preprocessing * Model training and tuning * Deployment and inference layers ... Bachelor's Degree in Engineering or Computer Science or relevant discipline * 10+ years overall ...

Program Quality Consultant

Toronto, ON

  • Medical

  • Dental

  • Life

  • Retirement

... part-time and continuing education programs. For more than 65 years, Michener has prepared ... Compile data and produce analytical summaries to support decision making and strategic planning ...

Pathology Assistant II

Toronto, ON · On-site

CA$44.77 - CA$56/hr

  • Medical

  • Retirement

Permanent Part Time Hours of Work: 8 hour rotating shifts from Monday - Friday, including weekends ... Qualifications: * Undergraduate Degree in Science and/or related discipline required.

FSQA Process Leader

Hamilton, ON · On-site

CA$47K - CA$69K/yr

  • Retirement

For part-time roles, salaries are adjusted according to scheduled hours.??Snapshot of a Day-in-the ... Ability to enter data and complete trace exercises within SAP.Identification, entry and closure of ...

Office Manager & HR Coordinator

Mississauga, ON · On-site

  • Medical

  • Retirement

  • PTO

Office & HR Coordinator - Canada Employment Type: Part-Time, approximately 24 hours per week ... data collection, and other operational initiatives as assigned. EDUCATION AND EXPERIENCE REQUIRED:

Physiotherapist

Toronto, ON

CA$40.36 - CA$56.30/hr

Permanent Part-Time Reporting Relationship: Manager of Allied Health Hourly Rate Range: $40.36 ... Record workload measurement data in a timely and precise manner. * Collaborate as an integral ...

Physiotherapist

Toronto, ON · On-site

CA$40.36 - CA$56.30/hr

Permanent Part-Time Reporting Relationship: Manager of Allied Health Hourly Rate Range: $40.36 ... Record workload measurement data in a timely and precise manner. * Collaborate as an integral ...

Physiotherapist

Toronto, ON

CA$40.36 - CA$56.30/hr

Employment Status: Temporary Part-Time Duration (if contract): September 20, 2027 Reporting ... Record workload measurement data in a timely and precise manner. * Collaborate as an integral ...

Physiotherapist - Finch RCC

Toronto, ON

CA$40.36 - CA$56.30/hr

  • Medical

  • Retirement

Permanent Part Time Reporting Relationship: Manager of Allied Health Hourly Rate Range: $40.36 ... Record workload measurement data in a timely and precise manner. * Collaborate as an integral ...

Physiotherapist

Toronto, ON

CA$40.36 - CA$56.30/hr

Employment Status: Temporary Part-time Duration (if contract): October 15, 2026 Reporting ... Record workload measurement data in a timely and precise manner. * Collaborate as an integral ...

Physiotherapist

Toronto, ON

CA$40.36 - CA$56.30/hr

Employment Status: Temporary Part-time Duration (if contract): October 15, 2026 Reporting ... Record workload measurement data in a timely and precise manner. * Collaborate as an integral ...

Physiotherapist

Toronto, ON · On-site

CA$40.36 - CA$56.30/hr

Temporary Part-time Duration: December 2029 Reporting Relationship: Manager of Allied Health Hourly ... Record workload measurement data in a timely and precise manner. * Collaborate as an integral ...

Physiotherapist

Toronto, ON · On-site

CA$40.36 - CA$56.30/hr

Temporary Part-time Duration: December 2029 Reporting Relationship: Manager of Allied Health Hourly ... Record workload measurement data in a timely and precise manner. * Collaborate as an integral ...

Physiotherapist

Toronto, ON · On-site

CA$40.36 - CA$56.30/hr

Temporary Part-time Duration (if contract): July 2027 Reporting Relationship: Manager of Allied ... Record workload measurement data in a timely and precise manner. * Collaborate as an integral ...

Showing results 41-60

Part Time Data Science information

See Toronto, ON salary details

$8

$44

$107

How much do part time data science jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for part time data science in Toronto, ON is $44.79, according to ZipRecruiter salary data. Most workers in this role earn between $14.68 and $66.53 per hour, depending on experience, location, and employer.

What are part-time data science jobs?

Part-time data science jobs focus on the collection, analysis, and manipulation of data sets. In this role, you can either work for one employer or freelance on a per-project basis. As a data scientist or data analyst, you mine and analyze information. Your duties also include using statistics and math on the data sets to develop algorithms and models that perform specific processes or aid with your employer’s decision-making. Machine learning engineers use data to create algorithms that help computers and machines process information in structured and unstructured environments and make decisions or take actions based on the data.

What is a part-time data science job?

A part-time data science job involves working fewer hours than a full-time data scientist, typically less than 40 hours per week. Part-time data scientists perform many of the same tasks as their full-time counterparts, such as analyzing data, building models, and generating insights to help organizations make data-driven decisions. These roles are ideal for students, professionals seeking additional income, or those looking for flexible work arrangements. Part-time positions may be project-based or ongoing, and can be found in various industries including tech, healthcare, finance, and retail.

How do part-time data science roles typically structure team collaboration and project ownership?

In part-time data science positions, collaboration is often facilitated through regular virtual meetings, shared project management tools, and clear documentation. Part-time data scientists usually work on specific projects or components, such as data cleaning, exploratory analysis, or building models, while maintaining close communication with full-time team members and stakeholders. This structure allows for flexibility but also requires strong self-management and proactive updates to ensure alignment with the broader team's objectives. Many organizations use agile methodologies to assign tasks and track progress, making it easier for part-time contributors to integrate their work seamlessly.

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

To thrive as a Part Time Data Scientist, you need strong analytical skills, statistical knowledge, and proficiency in programming languages like Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools, machine learning libraries, and platforms such as SQL, Jupyter, or Tableau is typically required. Effective communication, time management, and problem-solving abilities help you deliver impactful insights within limited hours. These skills ensure you can efficiently analyze data, present findings clearly, and drive value for organizations even with part-time commitment.

What are the most commonly searched types of Data Science jobs in Toronto, ON?

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

What are popular job titles related to Part Time Data Science jobs in Toronto, ON?

For Part Time Data Science jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Part Time Data Science jobs in Toronto, ON look for?

The top searched job categories for Part Time Data Science jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Part Time Data Science jobs?

Cities near Toronto, ON with the most Part Time Data Science job openings:

Infographic showing various Part Time Data Science job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Part Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $93,156 per year, or $44.8 per hour.

AI CyberSecurity Architect

BMO Capital Markets

Toronto, ON • On-site

CA$103K - CA$192K/yr

Full-time, Part-time

Medical, Life, Retirement

Posted 11 days ago


Job description

Application Deadline:

08/30/2026

Address:

100 King Street West

Job Family Group:

Technology

About the Role

We are seeking a seasoned cybersecurity architect to join our team in support of BMO's AI journey. This role is responsible for securing Artificial Intelligence (AI), both Generative AI (GenAI) and Agentic AI, capabilities across the enterprise, ensuring they are resilient, compliant, and aligned with financial industry regulatory expectations.

You will engage with various business and technology stakeholders to ensure that proposed AI implementations adhere to the enterprise's cybersecurity standards. This role will require you to partner closely with your peers in various Cybersecurity, Risk, Legal, and Engineering teams in identifying and solutioning cyber controls related to securing AI across the enterprise.

Key Responsibilities

Enterprise AI Security Strategy

  • Support BMO's AI security strategy alignment to our Cyber and Risk priorities

  • Develop AI-specific threat models across the model lifecycle (training deployment inference)

  • Integrate AI security into Zero Trust, cloud security, and data protection frameworks

AI Risk & Control Framework

  • Work with cybersecurity and risk peers to ensure established AI security controls align to a given business/technology initiative

  • Stay current on industry business and technical trends with respect to cybersecurity governance practices with an emphasis on Artificial Intelligence

  • Provide support for BMO's Responsible AI Operations (i.e., RAIOps) practices

  • Advise BMO's 2nd line AI Risk function in review of AI related use cases

Secure AI Architecture

  • Partner with Cyber, Enterprise Architecture, and Engineering to define patterns for AI/GenAI platforms (cloud-hosted, APIs, internal models, enterprise copilots)

  • Enforce security requirements across AI pipelines:

    • Data ingestion and preprocessing

    • Model training and tuning

    • Deployment and inference layers

  • Perform security architecture design reviews for all AI use cases prior to production deployment

Third-Party & Vendor Security

  • Partner with Cyber peers to define security requirements and support assessments for external AI vendors and platforms

  • Ensure alignment with vendor risk management, data protection, and residency requirements

Regulatory & Audit Readiness

  • Ensure AI systems comply with applicable financial regulations and supervisory expectations

  • Provide or contribute to audit-ready documentation and evidence of control effectiveness

  • Support regulatory exams and internal audits related to AI and GenAI

Security Enablement

  • Provide guidance to AI engineering and platform teams on secure development practices

  • Drive enterprise awareness of AI security risks and controls

  • Enable safe, scalable adoption of AI across the organization

Qualifications

  • Bachelor's Degree in Engineering or Computer Science or relevant discipline

  • 10+ years overall experience in cybersecurity, with demonstrated leadership experience

  • 4-5 years experience in a Security Architect role with 2 years experience specifically in AI Architecture (and all security related aspects)

  • Expertise in cloud security, application security, and data protection

  • Experience securing AI/ML or advanced analytics platforms

  • Strong understanding of AI system architectures.

  • Strong understanding of financial services regulatory environment

  • Proven ability to build and operationalize security frameworks at scale

  • Strong communication skills.

  • Experience supporting audits and regulators recommended

Salary:

$103,200.00 - $192,000.00

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.