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Data Science Student Jobs in Ontario (NOW HIRING)

Kinectrics

CA$21 - CA$28/hr

Electrical Data Scientist / Analyst Coop Student (HVST) About Us Ready to kickstart your career in one of Canada's rapidly growing industries? Join Kinectrics, a company that takes pride in being ...

Bucknell

... Science, Communications, Advancement, Athletics, and Academic Affairs - to integrate technology, align strategy, and leverage data-driven insights that elevate career readiness and overall student ...

Thales

Data Engineer - student

Ottawa, ON

CA$55K - CA$60K/yr

More specifically, the Data Engineer student will work with business analysts and operational ... Completing degree in software engineering, computer science or related field. Preferred ...

New

U Education Management Pvt. Ltd.

... of college students, young professionals, housewives, etc. Tasks Include Data operations ... We\- re one of the few applications of AI\/ data science that actually has a massive market and ...

Esf

... student dynamic. 2. Educational Research & Learning Analytics * Design and execute rigorous ... Master's or advanced Bachelor's degree in Education Data Science, Learning Sciences, Learning ...

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Data Science Student information

What is a data science student?

A Data Science Student job typically refers to an internship, part-time role, or research position where students apply their data science skills in a practical setting. These roles often involve working with real-world datasets, building models, analyzing trends, and assisting in data-driven decision-making. Students may use programming languages like Python or R, work with machine learning algorithms, and gain experience with tools such as SQL, Pandas, and TensorFlow. This hands-on experience helps bridge the gap between academic learning and industry applications, preparing students for full-time roles after graduation.

What types of projects or hands-on experiences can I expect as a data science student?

As a Data Science Student, you can expect to work on a variety of data-driven projects such as analyzing real-world datasets, building predictive models, and creating data visualizations. These projects often involve using popular programming languages and tools to solve practical problems, either individually or as part of a team. Many programs encourage participation in hackathons, internships, or collaborative research to provide hands-on experience and deeper industry exposure. Gaining experience through these projects is crucial for building your portfolio and preparing for future roles in the data science field.

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

To thrive as a Data Science Student, a solid understanding of statistics, programming (especially in Python or R), and data analysis concepts is required, often backed by enrollment in a relevant degree or certification program. Familiarity with tools such as Jupyter Notebook, SQL, and visualization libraries, as well as participation in online courses or bootcamps, is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help students excel when tackling projects and collaborating with peers. These skills are essential for mastering complex concepts, contributing to team projects, and preparing for a successful transition into a data science career.

What jobs can you get if you study data science?

Data science graduates can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What are the most commonly searched types of Data Science Student jobs in Ontario?

The most popular types of Data Science Student jobs in Ontario are:

What are popular job titles related to Data Science Student jobs in Ontario?

For Data Science Student jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Science Student jobs in Ontario look for?

The top searched job categories for Data Science Student jobs in Ontario are:

Data Science Student jobs near you
Infographic showing various Data Science Student job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sessional Lecturer - MMF1922H1F: Data Science (Section LEC 0101)

University of Toronto

Toronto, ON • On-site

CA$4.9K/wk

Full-time

Posted 26 days ago

Job description

Date Posted: 07/21/2026
Req ID: 49466
Faculty/Division: Faculty of Arts & Science
Department: Dept of Economics
Campus: St. George (Downtown Toronto)
Existing Vacancy: Yes

Description:

Course Number and Title: 

MMF1922H1F: Data Science (Section LEC 0101)

Course Description:
Over the past decade, data science and machine learning have gained immense popularity in many scientific disciplines. The reason for the emergence is due to theoretical advances in machine learning, availability of big data, and surges in computational capabilities. This 8-week course provides an introductory overview of data science methods in finance, investments, and risk management. The course covers a review of foundational probability and statistics, brief introduction to machine learning (supervised learning, unsupervised learning) and big data tools.

Estimated course enrolment: 30

Estimated TA support: n/a

Class Schedule                                       Class Schedule: Thursday 6:00-9:00 pm

The delivery method for this course is in-person.

Sessional dates of appointment: September 10 - October 29, 2026

Salary (per section):

$4,998.74 Sessional Lecturer I

$5,349.61 Sessional Lecturer I - Long Term

$5,349.61 Sessional Lecturer II

$5,476.98 Sessional Lecturer II - Long Term

$5,476.98 Sessional Lecturer III

$5,614.45 Sessional Lecturer III - Long Term

 

Please note that should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.

Minimum qualifications:

  • Advanced degree in Mathematical Finance
  • Industry experience in data science and machine learning methods in finance
  • Prior experience teaching this course (or a similar course) at the university level
  • Ability and experience teaching large classes

Preferred qualifications:

  • Industry experience in big data and machine learning in finance

Description of duties:

  • Preparation and delivery of lectures in this course
  • Preparation, supervision and grading of tests and examinations in accordance with university regulations
  • Providing scheduled office hours for academic counseling of students

Application instructions:  

Applicants should submit an updated curriculum vitae; names and contact information (email and phone) for two referees or two reference letters; evidence of teaching in the relevant area, including student evaluations if available; and the CUPE 3902 Unit 3 application form located here: https://www.economics.utoronto.ca/index.php/index/recruiting/sessionalOpeningsForm.

Please attach the additional documents in one PDF file format to the application form. If you have any questions, please contact sessional.economics@utoronto.ca All applicants must have a valid email address.

Closing Date: 08/14/2026, 11:59PM EDT
**

This job is posted in accordance with the CUPE 3902 Unit 3 Collective Agreement. 

 It is understood that some announcements of vacancies are tentative, pending final course determinations and enrolment. Should rates stipulated in the collective agreement vary from rates stated in this posting, the rates stated in the collective agreement shall prevail.  

Preference in hiring is given to qualified individuals advanced to the rank of Sessional Lecturer II or Sessional Lecturer III in accordance with Article 14:12 of the CUPE 3902 Unit 3 collective agreement.

Please note: Undergraduate or graduate students and postdoctoral fellows of the University of Toronto are covered by the CUPE 3902 Unit 1 collective agreement rather than the Unit 3 collective agreement, and should not apply for positions posted under the Unit 3 collective agreement.

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