Course Lecturer (INSY 662 076)

Course Lecturer (INSY 662 076) Location: Bronfman Building Please refer to the How to Apply for a Job (for External Candidates)job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account and apply to this posting using the Find Jobs report (type Find Jobs in the search bar). Data Mining and Visualization​s 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.