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Statistics Intern Jobs in Toronto, ON (NOW HIRING)

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Research Intern

Toronto, ON · On-site

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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Statistics Intern information

What is a statistics intern?

Statistics Interns are students or recent graduates who assist professional statisticians by collecting, analyzing, and interpreting data. They typically work under supervision in industries such as healthcare, finance, government, or academia. Their tasks may include data entry, cleaning datasets, running statistical software, and preparing reports or presentations. This internship provides hands-on experience in applying statistical methods and tools, helping interns build foundational skills for a career in statistics or data analysis.

What types of projects does a statistics intern typically work on during their internship?

Statistics Interns are often involved in data collection, cleaning, and analysis projects that support ongoing research or business initiatives. They may help design experiments, run statistical tests, create data visualizations, and interpret results under the guidance of experienced statisticians. Interns frequently collaborate with professionals from other departments, such as data science, engineering, or marketing, to provide insights that inform decision-making. This hands-on experience helps interns develop practical skills and gain exposure to real-world applications of statistical methods.

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

To thrive as a Statistics Intern, you need a solid understanding of statistical methods, data analysis, and a relevant academic background in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, SPSS, or Python, as well as proficiency in Excel, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present findings clearly. These skills are crucial for accurately analyzing data and supporting evidence-based decision-making within organizations.

What is the difference between Statistics Intern vs Data Analyst?

AspectStatistics Intern

Statistics Interns typically have limited work experience, often are students or recent graduates, and focus on supporting data collection, cleaning, and basic analysis under supervision. Data Analysts usually have more experience, may hold certifications or degrees in statistics, data science, or related fields, and are responsible for interpreting data, creating reports, and providing insights independently. Both roles are common in industries like finance, healthcare, and tech, but Data Analysts often have more advanced skills and responsibilities.

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

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

What cities near Toronto, ON are hiring for Statistics Intern jobs?

Cities near Toronto, ON with the most Statistics Intern job openings:

Statistics Intern jobs near you
Infographic showing various Statistics Intern job openings in Toronto, ON as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Research Intern

Léger

Toronto, ON • On-site

Internship

Re-posted yesterday

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

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