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Statistical Intern Jobs in Toronto, ON (NOW HIRING)

As a Research Intern, you will gain hands-on experience in both quantitative and qualitative ... Experience with statistical software (e.g., SPSS, SAS) or programming languages (e.g., R, Python ...

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Statistical Intern information

See Toronto, ON salary details

$7

$32

$72

How much do statistical intern jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for statistical intern in Toronto, ON is $32.58, according to ZipRecruiter salary data. Most workers in this role earn between $14.45 and $49.55 per hour, depending on experience, location, and employer.

What types of projects can a statistical intern expect to work on, and how do these contribute to the organization's goals?

As a Statistical Intern, you can expect to work on projects such as data cleaning, exploratory data analysis, and assisting with the development of statistical models for real-world business or research problems. These projects often involve collaborating with data scientists, analysts, and subject-matter experts to draw actionable insights from data. Your contributions help inform decision-making, improve processes, and support larger organizational objectives. The experience gained from these projects not only builds your technical skills but also gives you exposure to how statistical methods drive impact in a professional setting.

What is the difference between Statistical Intern vs Data Analyst?

AspectStatistical InternData Analyst
Required CredentialsTypically pursuing or recent graduate in statistics, mathematics, or related fieldBachelor's degree in statistics, data science, or related field; often requires some experience
Work EnvironmentInternship setting, often in research or academic projects, supervised by senior staffFull-time role in corporate, tech, or research organizations, with independent responsibilities
Employer & Industry UsageUniversities, research institutions, government agenciesBusinesses, tech companies, finance, healthcare

The main difference between a Statistical Intern and a Data Analyst lies in experience level and responsibilities. Interns are usually students or recent graduates gaining entry-level experience, often in academic or research settings. Data Analysts are more experienced professionals working full-time to analyze data, generate reports, and support decision-making in various industries.

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

To thrive as a Statistical Intern, you need a solid background in statistics, mathematics, and data analysis, typically supported by coursework in these subjects or progress toward a relevant degree. Familiarity with statistical software such as R, SAS, SPSS, or Python is commonly expected, along with proficiency in spreadsheet tools like Excel. Strong attention to detail, problem-solving abilities, and clear communication help interns interpret data accurately and present findings effectively. These skills ensure meaningful contributions to research and data-driven projects while supporting the team's analytical goals.

What does a statistical intern do?

A Statistical Intern assists with collecting, analyzing, and interpreting data to support research or business projects. They work under the supervision of experienced statisticians, using statistical software to clean data, run basic analyses, and create reports or visualizations. This role provides hands-on experience with real-world data and helps interns develop skills in problem-solving, critical thinking, and effective communication of statistical findings.

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

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

Infographic showing various Statistical Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 2% Internship, 78% Full Time, 18% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $67,759 per year, or $32.6 per hour.

Research Intern

Léger

Toronto, ON

Internship

Posted 11 days ago


Job description

Company Description

We are one of North America’s fastest-growing market research companies, known for our forward-thinking experts and innovative approaches powered by artificial intelligence (AI) technologies. We boast the most accurate panel (LEO) and insights. Stay connected to the evolving perspectives and trends shaping your industry.

Job Description

As a Research Intern, you will gain hands-on experience in both quantitative and qualitative research methodologies while developing professional skills in a dynamic and supportive environment. You will work closely with experienced professionals, receive mentorship from industry experts, and gain insight into how research informs business decisions. 

The ideal candidate has a foundational knowledge of market research and is currently enrolled in a relevant program or is a recent graduate, eager to apply their knowledge in a real-world setting while gaining practical experience in research and data analysis. 

Responsibilities

  • Assist in the collection, analysis, and interpretation of data. 
  • Support ongoing market research reports  
  • Enter data and prepare reports and presentations summarizing research findings. 
  • Collaborate with senior researchers and project managers on various analytical tasks. 
  • Participate in team meetings and contribute to project brainstorming sessions. 
Qualifications
  • Currently enrolled in or recently graduated from a bachelor’s or master’s program in Economics, Statistics, Business Administration, or a related field in Health Sciences. 
  • Proficient in Microsoft Office Suite, especially Excel. 
  • Experience with statistical software (e.g., SPSS, SAS) or programming languages (e.g., R, Python) is an asset 

Skills 

  • Analytical Skills: Ability to work with data, identify basic trends, and support the interpretation of research findings. 
  • Communication and Writing: Strong written and verbal communication skills to clearly present ideas, contribute to reports, and collaborate with team members. 
  • Organization and Time Management: Ability to manage tasks, stay organized, and meet deadlines in a fast-paced environment. 
  • Teamwork and Collaboration: Comfortable working with others, participating in discussions, and supporting team projects. 
  • Attention to Detail: Careful approach to data entry, analysis, and reporting to ensure accuracy and quality. 
  • Problem-Solving: Willingness to learn and find solutions when challenges arise during research tasks. 
  • AI & Digital Tools: Familiarity with AI tools (e.g., ChatGPT) and interest in using technology to support research, data analysis, and productivity. 

Additional Information

For any questions, please refer to our Recruitment Policy.