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Mathematics Intern Jobs in Toronto, ON (NOW HIRING)

Bits In Glass

Intern

Toronto, ON · On-site +1

Intern Practice: AI Location: Remote/Hybrid Description As a ML Developer Intern you will work ... A student or recent grad in Computing Science, Mathematics, Physics, Engineering or related * Prior ...

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All JobsMathematics Intern JobsMathematics Intern Jobs in Toronto, ON

Mathematics Intern information

See Toronto, ON salary details

$6

$19

$37

How much do mathematics intern jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for mathematics intern in Toronto, ON is $19.62, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $22.02 per hour, depending on experience, location, and employer.

What is a mathematics intern?

Mathematics Interns are students or recent graduates who work temporarily in organizations to gain practical experience applying mathematical concepts and techniques. They often assist with data analysis, problem-solving, research, and project support under the supervision of professional mathematicians or analysts. These internships help interns develop valuable skills, explore potential career paths, and build professional networks within the field of mathematics.

What types of projects or tasks can a mathematics intern expect to work on during their internship?

As a Mathematics Intern, you can expect to work on a variety of projects that might include data analysis, statistical modeling, assisting with research studies, or helping to develop algorithms for real-world applications. Interns often collaborate closely with experienced mathematicians, data scientists, or engineers, gaining exposure to both independent and team-based problem-solving. Daily responsibilities may include collecting and cleaning data, running simulations, preparing reports, and presenting findings to your team. This hands-on experience is valuable for building practical skills and understanding how mathematical concepts are applied in industry or research settings.

What are the key skills and qualifications needed to thrive as a mathematics intern, and why are they important?

To thrive as a Mathematics Intern, you need a solid understanding of mathematical concepts, analytical thinking, and often coursework in statistics or applied mathematics. Familiarity with tools such as Microsoft Excel, MATLAB, Python, or R is commonly required for data analysis and modeling tasks. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and present findings clearly. These skills are crucial for tackling complex problems and contributing valuable insights during your internship experience.

What internships can you do as a mathematics intern?

As a mathematics intern, you can pursue internships in fields such as data analysis, finance, research, education, and technology. These internships often involve applying mathematical skills to real-world problems, using tools like MATLAB, R, or Python, and may require strong analytical and problem-solving abilities.

Which internship is best for mathematics students?

The best internship for mathematics students often involves roles such as data analysis, research, or quantitative analysis, which provide practical experience applying mathematical concepts. Internships at technology firms, financial institutions, or research organizations that require skills in programming, statistical software, and problem-solving are highly valuable for career development.

What are the most commonly searched types of Mathematics jobs in Toronto, ON?

The most popular types of Mathematics jobs in Toronto, ON are:

Mathematics Intern jobs near you
Infographic showing various Mathematics Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, 25% Hybrid, and 25% Remote job distribution, with an average salary of $40,815 per year, or $19.6 per hour.

Intern

Bits In Glass

Toronto, ON • On-site, Remote

Internship

Posted 6 days ago

Job description

Classification: Intern

Practice: AI

Location: Remote/Hybrid

Description

As a ML Developer Intern you will work closely with the ML Developers and Senior ML Engineers to build AI/ML/GenAI solutions. You will be working with the team to develop innovative solutions in artificial intelligence to resolve concrete and complex business challenges. You will have an inquisitive and strategic mindset, always looking for the new but with an applied focus of solving business problems with technology solutions using an Agile approach. You will be customer oriented and a team player to keep up with BIG's long tradition of being a team of highly experienced professionals that customers love to work with because they feel like one of their own.

Responsibilities

  • Translate business needs into AI/ML and GenAI solutions
  • Build AI/ML models using accepted best practices
  • Keep up-to-date with the latest developments in AI/ML
  • Work with data engineers and assist in data acquisition, preparation and cleansing from various sources
  • Assess model performance and reliability and make tradeoffs against quality metrics
  • Prepare reports and presentations on results
  • Prepare data visualisation front-ends as required to communicate insights from the model
  • Use a software engineering approach to build AI/ML solutions that can be effectively operationalized and run in a reliable manner to serve the needs of critical business workflows

Qualifications

  • A student or recent grad in Computing Science, Mathematics, Physics, Engineering or related
  • Prior experience in development of machine learning solutions, including NLP, Computer Vision, Generative AI, Time Series
  • Knowledge and experience with relevant program languages and tools like Python, PyTorch and Scikit-learn
  • Eager to research and learn new topics and technologies
  • Nice to have knowledge
    • Hyperscaler environments, like Microsoft Azure, Amazon AWS, Google GCP, etc. and the associated ML/AI suites
    • Databricks
    • Vector Databases, Retrieval Augmented Generation and Large Language Models is an asset

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