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Course Lecturer (INSY 662 076)
ExperiencedOn-sitePart-time
Location
Montréal, Quebec, Canada
Salary
$12k–$12k/yr
Experience
3–5 years
Posted
Today
Job Description
Course Lecturer (INSY 662 076)
Location: Bronfman Building
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Data Mining and Visualizations
INSY 662 076
Tuesdays & Thursdays 10h05 -11h25
Start Date: August 31, 2026
End Date: December 4, 2026
CL Credits: 3
Number of Class Hours: 39
Remuneration: $11,824.00
Deadline to apply: June 12 at 11:59 pm
The Desautels Faculty of Management is inviting applications to teach a course in Fall 2026. Please complete the online application form and upload required documents. Applications will be ranked according to the collective agreement between McGill University and the MCLIU. Preference will be given to the qualified applicant with the most priority points.
Teaching Qualification Requirements:
Education:
PHD in Information Systems or related field
Experience:
Extensive (3-5years) experience in analytics and Python-based instruction. Should have taught Python-intensive, analytics-focused courses. Should be able to teach data processing/manipulation and programming concepts using Python, including relevant python libraries.
Expert in data mining and predictive analytics. Experience in using R to code the predictive models for solving business problems.
Location
BRONF 410
For any questions, please contact academicaffairs.mgmt@mcgill.ca
Hiring Unit:
Desautels Faculty of Management - Information Systems Area
Course Title:
Data Mining and Visualization
Subject Code:
INSY 662 076
Location:
BRONF 410
Schedule:
Tuesdays & Thursdays 10h05 - 11h25
Deadline to Apply:
2026-06-12
McGill University hires on the basis of merit and is strongly committed to equity and diversity within its community. We welcome applications from racialized persons/visible minorities, women, Indigenous persons, persons with disabilities, ethnic minorities, and persons of minority sexual orientations and gender identities, as well as from all qualified candidates with the skills and knowledge to productively engage with diverse communities. McGill implements an employment equity program and encourages members of designated groups to self-identify. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence, accessibilityrequest.hr@mcgill.ca.