2

Part Time Data Science Instructor Jobs in Toronto, ON

Energetic group fitness instructors and performance-minded coaches Key Focus: Functional strength ... Bachelor's degree in Exercise Science, Kinesiology, or a related field * Experience teaching across ...

Catastrophe Risk Specialist

Toronto, ON · Hybrid

CA$85K - CA$115K/yr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Analyze historical data, scientific research, and insurance claims to enhance model accuracy.

Catastrophe Risk Specialist

Toronto, ON · Hybrid

CA$85K - CA$115K/yr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Analyze historical data, scientific research, and insurance claims to enhance model accuracy.

Showing results 21-40

Part Time Data Science Instructor information

See Toronto, ON salary details

$9

$48

$110

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

As of Aug 21, 2026, the average hourly pay for part time data science instructor in Toronto, ON is $48.81, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $62.63 per hour, depending on experience, location, and employer.

What does a part time data science instructor do?

A Part Time Data Science Instructor teaches data science concepts and skills to students, typically in a classroom or online setting, on a part-time basis. Their responsibilities include preparing lesson plans, delivering lectures or workshops, guiding students through practical exercises, and providing feedback on assignments. They often cover topics such as statistics, programming (usually Python or R), machine learning, and data analysis. Instructors may also help students with career advice and project-based learning. The part-time nature of the role allows for flexibility and may attract industry professionals who want to share their expertise while maintaining other commitments.

What are some common challenges faced by part time data science instructors, and how can they be addressed?

Part-time data science instructors often juggle teaching responsibilities alongside other professional commitments, which can make time management a challenge. Staying current with rapidly evolving tools and techniques in data science is also essential, as students expect instruction on the latest industry practices. Building engagement and fostering interaction in limited class hours can require creative lesson planning and use of real-world projects. To address these challenges, instructors benefit from leveraging collaborative curriculum resources, actively participating in professional development, and maintaining open communication with students and fellow faculty.

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

To thrive as a Part Time Data Science Instructor, you need a strong background in statistics, programming (commonly Python or R), and data analysis, typically supported by a relevant degree or industry experience. Familiarity with technical tools such as Jupyter Notebooks, machine learning libraries (like scikit-learn or TensorFlow), and data visualization platforms is essential, and teaching certifications can be advantageous. Outstanding communication, adaptability, and the ability to simplify complex concepts help instructors engage and support diverse learners. These skills and qualities are crucial for delivering effective instruction, fostering student understanding, and ensuring positive learning outcomes.
Infographic showing various Part Time Data Science Instructor job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $101,517 per year, or $48.8 per hour.

CA$107K - CA$157K/yr

Full-time, Part-time

Medical, Dental, Life, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Permanent Full Time 

-

Canada Life believes AI must be deployed responsibly, securely, and in alignment with regulatory, risk, privacy, security, and business expectations. Effective governance is critical to scaling AI safely while maintaining trust and ensuring that AI initiatives are appropriately assessed, approved, monitored, and controlled across their lifecycle.

The Manager, AI Governance is accountable for helping operationalize enterprise AI governance processes. This role partners with business, technology, risk, legal, privacy, compliance, security, and audit stakeholders to ensure AI initiatives follow governance requirements from intake through delivery and ongoing operation.

This role is focused on governance operations, lifecycle discipline, stakeholder coordination, and practical implementation of AI controls. The role may lead direct reports over time and will help establish scalable governance practices as enterprise AI adoption grows.

What you will do
  • Support the implementation and ongoing operation of enterprise AI governance frameworks, standards, and lifecycle processes.
  • Coordinate AI intake, triage, risk classification, governance review, approval, and ongoing monitoring activities.
  • Facilitate governance assessments and help solution teams identify risks, required controls, and remediation actions.
  • Partner with AI delivery, platform, architecture, privacy, security, legal, compliance, risk, and audit teams to support responsible AI deployment.
  • Maintain AI inventories, governance records, decision logs, lifecycle documentation, and evidence required for oversight.
  • Support the definition and operationalization of controls related to transparency, human oversight, data use, monitoring, model performance, security, and accountability.
  • Develop governance reporting, metrics, dashboards, and status updates for leadership and governance forums.
  • Monitor evolving regulatory, industry, and internal expectations related to AI governance and responsible AI.
  • Identify opportunities to simplify, standardize, automate, and scale governance processes.
  • Promote awareness and practical adoption of AI governance requirements across business and technology teams.
What you will bring
  • Degree in Computer Science, Engineering, Data Science, Risk Management, Business, Law, Public Policy, or a related discipline, or equivalent practical experience.
  • 5 or more years of experience in technology governance, risk management, compliance, privacy, security, data governance, model governance, or AI governance.
  • Understanding of AI lifecycle management, responsible AI principles, and technology risk management concepts.
  • Experience developing, implementing, or operating governance processes, controls, assessments, or assurance practices.
  • Ability to translate policy, regulatory, privacy, risk, and security expectations into practical operating processes.
  • Experience working with cross functional stakeholders in a large, matrixed organization.
  • Strong communication, facilitation, documentation, and organizational skills.
  • Familiarity with AI inventory management, model governance, risk tiering, monitoring, and control evidence is preferred.
  • Ability to balance governance discipline with practical delivery needs.
  • Experience in financial services or another regulated industry is an asset.

-

The base salary for this position is between $107,800 - $157,800 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Life 

We're united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.  

We're looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you! 

What we offer:  

We're committed to supporting our employees through every stage of their career. Here's what you can expect as a full-time or part-time permanent team member: 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annually towards education reimbursement. 
  • Health & Wellness:Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being. 
  • Time Off:In addition to regular vacation and personal days, we support community involvement with a volunteer day. 
  • Financial Security:Company-matching pension plan,share ownership program and additionalinvestment options. 
  • Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!  
  • Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.  

Learn more about Canada Life.  

We're committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact  talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.  

Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted. 

#LI-HybridÂ