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Internship Numerical Methods Jobs in Toronto, ON

Wand

Product Data Analyst

Toronto, ON · Remote

$145K - $175K/yr

When a number moves, you'll know before anyone else -- and you'll know why. You'll build in Hex ... Causal inference methods (diff-in-diff, regression discontinuity, propensity matching) * Prior work ...

Omers

Analyst, Total Plan Risk Management

Toronto, ON · On-site

CA$86K - CA$130K/yr

Previous experience (including co/op or internship) in capital markets, pensions and/or risk ... Hands-on experience working with large datasets using numerical computing tools, with a desire to ...

All JobsNumerical Methods JobsInternship Numerical Methods JobsInternship Numerical Methods Jobs in Toronto, ON

Internship Numerical Methods information

What are the key skills and qualifications needed to thrive as an intern in Numerical Methods, and why are they important?

To thrive as an intern in Numerical Methods, you need a solid understanding of mathematics, computational modeling, and problem-solving, typically supported by coursework in applied mathematics, engineering, or computer science. Familiarity with programming languages like Python or MATLAB and exposure to numerical analysis software are often expected. Strong analytical thinking, attention to detail, and effective communication help interns interpret results and collaborate with team members. These skills are crucial for accurately solving complex numerical problems and contributing to research or engineering projects.

What is the difference between Internship Numerical Methods vs Data Analyst?

AspectInternship Numerical MethodsData Analyst
Required CredentialsBasic knowledge of mathematics, programming, and numerical algorithmsBachelor's degree in statistics, mathematics, or related field
Work EnvironmentInternship setting, often in research or technical teamsOffice environment, working with data sets and reporting tools
Employer & Industry UsageResearch institutions, engineering firms, tech companiesBusiness, finance, healthcare, marketing sectors
Search & Comparison IntentUnderstanding entry-level roles in numerical computationExploring data analysis careers and skills

Internship Numerical Methods focuses on applying mathematical and computational techniques to solve problems, often in research or technical settings. Data Analyst roles involve interpreting data, creating reports, and supporting decision-making in various industries. While both require analytical skills, internships emphasize learning and applying numerical algorithms, whereas data analysts focus on data interpretation and visualization.

What is an internship numerical methods?

Internship numerical methods refer to internships focused on applying mathematical techniques and algorithms to solve real-world problems using numerical computations. These internships typically involve working with numerical analysis, modeling, simulation, and programming to analyze data or solve engineering and scientific problems. Interns may use tools like MATLAB, Python, or specialized software to implement and test numerical algorithms under the guidance of professionals. Such internships are valuable for students in mathematics, engineering, physics, or computer science, offering practical experience in computational problem-solving.

What types of projects can an intern expect to work on during a Numerical Methods internship?

As a Numerical Methods intern, you can expect to work on projects involving the development, implementation, and testing of algorithms for solving mathematical problems—such as differential equations, optimization, or data analysis tasks. You may collaborate with engineers or researchers to improve computational models, validate results, or optimize code for efficiency. These projects often require a mix of programming (commonly in Python, MATLAB, or C++), mathematical analysis, and teamwork. This hands-on experience is valuable for building problem-solving skills and gaining exposure to real-world applications of numerical techniques.
What are popular job titles related to Internship Numerical Methods jobs in Toronto, ON? For Internship Numerical Methods jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Internship Numerical Methods jobs in Toronto, ON look for? The top searched job categories for Internship Numerical Methods jobs in Toronto, ON are:
Internship Numerical Methods jobs near you
Infographic showing various Internship Numerical Methods job openings in Toronto, ON as of July 2026, with employment types broken down into 2% Internship, 76% Full Time, 20% Part Time, 1% Temporary, and 1% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Sessional Instructional Assistant-FSC481Y5Y-Internship in Forensic Science

University of Toronto

Mississauga, ON

CA$55.25/hr

Full-time, Internship

Posted 20 days ago

Job description

Date Posted: 07/21/2026
Req ID: 49506
Faculty/Division: UofT Mississauga
Department: UTM:Institute of Forensic Sciences
Campus: University of Toronto Mississauga (UTM)

Description:

Course Description: As one of the capstone experience options for the Forensic Science Specialist programs, this course provides students with the opportunity to gain research and professional experience. Students are required to attend classes that address research design and methodology, as well as topics related to professional work and practice in the forensic sciences. Students may be placed with a participating public agency, private organization, or university lab to conduct research and gain an understanding of the unit's daily operations. In addition to their research, internship students are required to formally present the results of their research at the annual Forensic Science Day symposium and submit a high-quality academic manuscript of their work. Note: Internship Placements are arranged by the FSC Program. Students MUST apply for this course, and the Course Application is due in the February preceding the placement. See the Forensic Science Program website for details on course application, information, and procedures. There will be an information session regarding Internship Placements, preceding the application period. Students must have one free day (Monday - Friday) to work at their internship placement site and should be in their final year before graduation. Students are expected to provide their own transportation to placement work site.

Session: September 1, 2026 - April 30, 2027

Lectures: Mondays 3:00 PM - 5:00 PM (In-person)

Practicals: None

Estimated Course Enrolment: 25

Estimated TA Support: 50 hours per two practical sections (total number of assigned hours is dependent on course enrolment and course approvals)

Salary: $55.25 / hour

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.

Qualifications: A Masters degree  (completed) in Forensic Chemistry or closely related field, with substantial science course background at the graduate level and a background in Forensic Science is required.  Research experience is required, including knowledge of UTM ethics review protocols and writing research proposals; excellent communication skills; available to students via email within 24 hours (excluding weekends) for duration of TAship; must be able to attend classes; an ability to communicate information clearly; interest, enthusiasm, and experience in scientific research; rapport with undergraduates; knowledge of techniques used in scientific research and project management. 

Preferred Qualifications:  Candidates with previous research, forensic science background, teaching, marking and field experience and are preferred.    Preference is given to qualified graduate students registered with SGS, who have in addition, obtained their B.Sc. in Forensic Science at UTM and who work in research labs within the related forensic sub disciplines at UTM. 

Duties: Typical duties include, but are not limited to: Reviewing and grading ethics applications and research proposals submitted by students; providing feedback on proposals; conducting a mock interview; providing feedback to students regarding their presentations; helping students develop professionalism in the practice of forensic science.

Application instructions:

  1. Apply online through the Sessional Lecturer Unit 3 Application  on the Forensic Science Program website
  2. Email your CV to Carolyn Loos (Program Manager) at carolyn.loos@utoronto.ca by 11:59pm on August 12, 2026

Both requirements are necessary to be considered. Questions can be directed to Carolyn Loos, Department Manager, at the above email.


Applicants not able to apply online should contact Carolyn Loos (Department Manager) at (905) 828 3741 or by email at: carolyn.loos@utoronto.ca.

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.

All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

 

Candidates who are members of Indigenous, Black, racialized and 2SLGBTQ+ communities, persons with disabilities, and other equity-deserving groups are encouraged to apply, and their lived experience shall be taken into consideration as applicable to the position.

Apply