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Part Time Data Science Instructor Jobs in Toronto, ON

BMO Capital Markets

Associate, Data Scientist

Toronto, ON · On-site

CA$90K - CA$120K/yr

D. in Computer Science, Mathematics, Physics, or a related quantitative field (focus on finance ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

MATHNASIUM OF WOODBRIDGE

Be Seen First

Math Instructor

Woodbridge, ON · On-site

$18 - $20/hr

Instructors are part-time employees who will work between 4 to 20 hours per week. Selected ... Ability to teach Calculus, Advanced Functions, and Data Management is an asset. * Teaching ...

BMO Capital Markets

Associate, Data Engineer

Toronto, ON

CA$90K - CA$120K/yr

You will collaborate with AI engineers and data scientists to deliver high-quality, data-centric ... Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For ...

Fulfillment IQ

Supply Chain Data Analyst

Toronto, ON · On-site

Hybrid, Toronto based Employment Type (Permanent/Contract/Part -time/Intern): Permanent, Full-Time ... Chief Scientist Existing Vacancy: Yes Application Deadline: Open until filled Requirements About ...

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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.
Part Time Data Science Instructor jobs near you
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.

Instructor - Data Analytics

Primacorp Ventures, Inc.

Brampton, ON • On-site

CA$28/hr

Part-time

Re-posted 14 days ago

Job description

About us

CDI College is Canada's largest private college network with over 50 years of educational excellence with 23 campuses in British Columbia, Alberta, Ontario, Quebec and Manitoba. Our innovation and dynamism shine through a range of forward-thinking programs. We are a leading Canadian career training institution, dedicated to quality education and student success. Established in 1970, we offer over 50 diploma and certifications programs across various disciplines such as business, healthcare, technology, and art and design.

Job Status: Part-time, Remote (Weekend Availability Required)
Start Date: ASAP
Working Hours: Ongoing, Part-time
Compensation: $28/hour
Campus: CDI College - Brampton

Position Summary
The Data Analytics Instructor is responsible for delivering high-quality instruction and supporting student success in alignment with the program curriculum. This role focuses on engaging teaching, practical application of data analytics concepts, and fostering an inclusive learning environment.

Key Responsibilities

  • Deliver lectures, workshops, and hands-on training for the Data Analytics program.
  • Develop and implement lesson plans aligned with curriculum objectives.
  • Provide timely feedback on assignments and projects to support student progress.
  • Maintain accurate records of attendance and academic performance.
  • Contribute to curriculum enhancement and continuous improvement initiatives.
  • Collaborate with faculty to ensure consistent and high-quality program delivery.
  • Support student achievement, employability, and overall well-being.

Qualifications

Education & Experience

  • Degree in Data Analytics, Data Science, Computer Science, Mathematics, Statistics, or a related field.
  • Minimum 2 years of industry experience in data analytics or a related field.
  • Minimum 2 years of teaching experience at the post-secondary level (preferred).

Skills & Competencies

  • Strong ability to teach and apply data analytics concepts through real-world projects.
  • Excellent communication and presentation skills.
  • Effective problem-solving and organizational abilities.
  • Collaborative approach with a focus on student engagement and success.
  • Familiarity with Learning Management Systems (LMS).

Technical Knowledge

  • Proficiency in Python and data analysis libraries.
  • Working knowledge of big data tools and technologies (e.g., Spark, Hadoop, Tableau, R, NoSQL).
  • Understanding of data analytics fundamentals and methodologies (e.g., Agile, Lean).
  • Basic knowledge of artificial intelligence concepts.

Don't hold back!-apply today, even if you do not tick every skills list. We cherish diverse skill sets, knowing your unique experiences and perspectives enrich our dynamic team.
We are proudly Canadian - rooted in our diverse communities, guided by our values, and committed to growing together from coast to coast.

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