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Trainee Data Science 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 ... Have priority consideration for our Graduate Trainee program and full-time opportunities after ...

Mcgill

... science; ii) identify and address novel gaps in methodology; and, iii) teach clinical trainees in ... data analysis and reporting. Expertise in one or more of platform, (Bayesian) adaptive, and/or ...

Mcgill

... science; ii) identify and address novel gaps in methodology; and, iii) teach clinical trainees in ... data analysis and reporting. Expertise in one or more of platform, (Bayesian) adaptive, and/or ...

University of Toronto

Senior Research Associate

Toronto, ON · On-site

CA$18K - CA$32K/yr

The Nano(materials)-Bio Interactions Lab, in the Department of Physical and Environmental Sciences ... Support project planning, data management, collaborative activities, and completion of project ...

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Trainee Data Science information

See Ontario salary details

$21K

$93.9K

$197K

How much do trainee data science jobs pay per year?

As of Aug 18, 2026, the average yearly pay for trainee data science in Ontario is $93,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $143,000.00 per year, depending on experience, location, and employer.

What does a trainee data scientist do?

A Trainee Data Scientist assists in gathering, cleaning, and analyzing data to support business decisions. They work under the guidance of senior data scientists to learn about data modeling, statistical analysis, and using tools such as Python, R, or SQL. Their responsibilities often include preparing reports, visualizing data, and contributing to the development of predictive models. The goal is to build foundational skills and gain hands-on experience in the field of data science.

What are some common challenges faced by trainee data scientists during their initial projects, and how can they overcome them?

Trainee Data Scientists often encounter challenges such as working with messy or incomplete datasets, understanding complex business problems, and selecting the appropriate modeling techniques. Collaborating closely with experienced team members and seeking feedback can help trainees navigate these obstacles. Additionally, actively participating in code reviews and knowledge-sharing sessions accelerates learning and builds confidence in tackling real-world data science tasks.

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

To thrive as a Trainee Data Scientist, you need a foundational understanding of statistics, programming (often Python or R), and data analysis, usually supported by a relevant degree or coursework in mathematics, computer science, or engineering. Familiarity with data visualization tools (such as Tableau or Power BI), machine learning libraries (like scikit-learn or TensorFlow), and basic database systems is often expected. Strong problem-solving skills, curiosity, and effective communication help you interpret data insights and collaborate with team members. These skills are crucial for extracting actionable insights from data and contributing meaningfully to data-driven projects.

What is the difference between Trainee Data Science vs Data Analyst?

AspectTrainee Data ScienceData Analyst
Required CredentialsBasic degree in related field, entry-level certificationsDegree in statistics, mathematics, or related field, often with certifications
Work EnvironmentInternship or entry-level role in tech or finance companiesBusiness, finance, marketing departments across industries
Employer & Industry UsageStart of data career path, training-focused rolesData-driven decision making, reporting, and analysis

In summary, a Trainee Data Science role is an entry-level position focused on learning and developing skills in data science, often as part of an internship or training program. A Data Analyst typically has more experience in analyzing data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ mainly in experience level and scope of responsibilities.

Can you get into trainee data science with no experience?

Trainee data science roles often do not require prior experience and are designed for beginners. Candidates typically need foundational skills in programming, statistics, or data analysis, which can be gained through online courses or self-study. Demonstrating a willingness to learn and basic knowledge of tools like Python or Excel can improve chances of entry-level hiring.

How do I get a job in trainee data science with no experience?

To secure a trainee data science position with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, certifications, or projects can demonstrate your abilities to employers and improve your chances of entry-level roles.

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

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

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

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

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

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

What cities in Ontario are hiring for Trainee Data Science jobs?

Cities in Ontario with the most Trainee Data Science job openings:

Trainee Data Science jobs near you
Infographic showing various Trainee Data Science job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $93,858 per year, or $45.1 per hour.

Electrical Data Analyst Coop Student (HVST)

Kinectrics

On-site

CA$21 - CA$28/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

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 consistently ranked as one of the best places to work in the nuclear and energy sector, where purpose and people mean as much as innovation and growth. 

Since 2023, Kinectrics has employed over 200 students, providing them with the opportunity to grow and make a meaningful impact. Being recognized as Best Co-op Employer of the Year and recipient of the University of Waterloo Award for Next Generation Employment Innovation reflects our commitment to developing the next generation of talent.

Shape Your Career With Kinectrics

As a co-op student, you will:

  • Have priority consideration for our Graduate Trainee program and full-time opportunities after graduation.
  • Receive the tools and support you need to grow professionally with the opportunity to create impactful work that helps our clients achieve their goals.
  • Gain practical work experience to complement your classroom studies and experience what it is really like to work in the industry, while working with technical experts to hone your skills.
  • Build rapport and make vital connections with industry experts through networking and mentorship during your work term.
  • Join a large community of co-op students from different schools and backgrounds.
  • Be a part of our culture by participating in student and company events like Meet the Experts, Student Socials, Lunch and Learns, Technical Excellence Seminars, DEI initiatives, the United Way campaign, and many more.

Your journey at Kinectrics does not have to end there! Many students return for additional co-op terms or transition into full-time roles.

 

About the Position

  • Business Area: Transmission & Distribution Technologies (TDT)
  • Department: High Voltage Testing (HVST)
  • Location: 800 Kipling Avenue, Toronto, ON  
  • Term Length: 12 or 16 months
  • Year of Study: 3rd & 4th year preferred
  • Salary: The hourly rate for this position is $21.00-$28.00 per hour. Please note, the salary information provided is intended to be used as a guideline. Final rate offered will vary upon candidate's prior co-op/work experience, years of study completed, relevant skills, as well as internal equity considerations.

How You Will Make an Impact

This opportunity involves responsibilities including but not limited to:

  • Support the development, testing, and documentation of in-house software used for data analysis, data storage, report generation, and instrumentation control.
  • Assist with programming tasks using tools such as Python, MATLAB, JavaScript, and databases.
  • Collect, organize, analyze, and visualize engineering and laboratory data.
  • Support engineers and technologists with laboratory electrical testing, applied research, and new product-development projects.
  • Assist with test setup, data acquisition, equipment automation, and troubleshooting under the supervision of senior staff.
  • Prepare graphs, technical summaries, software documentation, and draft report content.
  • Research relevant engineering methods, technologies, and scientific publications.
  • Follow established software-development practices, including version control, testing, validation, and documentation.
  • Provide progress updates and work collaboratively with multidisciplinary project teams.
  • Perform all duties in accordance with Kinectrics' safety, quality, and project procedures

What You Need to Succeed

  • Currently enrolled full-time in a post-secondary engineering, computer science, data science, or related program requiring a co-op placement.
  • Academic, project, or previous co-op experience with Python, MATLAB, or another programming language.
  • Foundational knowledge of data analysis, statistics, engineering mathematics, or scientific computing.
  • Interest in electrical power systems, engineering software, laboratory testing, or applied research.
  • Familiarity with databases, web development, signal processing, equipment automation, or AI/ML is an asset.
  • Experience with laboratory instruments, electrical circuits, or data-acquisition systems is an asset.
  • Proficiency with Microsoft Office applications, particularly Excel, Word, and PowerPoint.
  • Strong analytical, research, and problem-solving skills.
  • Strong communication, teamwork, initiative, and attention to detail.
  • Willingness to learn and follow all established laboratory, electrical, and workplace safety procedures.

 

Our Culture

Kinectrics fosters a collaborative and inclusive culture where all team members' contributions are valued and respected. Safety is at the heart of everything we do, and we believe that "No task is so important that we cannot make the effort to do it safely." We are deeply committed to sustainable practices that reduce our environmental footprint, while delivering innovative, high-quality solutions. Our culture encourages continuous learning, teamwork, and a shared sense of purpose, empowering employees to grow professionally while making a meaningful difference for our clients and the communities we serve. 

Application Instructions

Qualified applicants, please apply directly through our Careers page, and include a cover letter, resume and transcript in a single file attachment by August 11, 2026 Please specify your availability for a 4, 8, 12 or 16 month co-op placement on your application. Kindly ensure you include all the required information in order to be considered for this opportunity.

Please note, this posting is for a newly created position and only those candidates considered for an interview will be contacted.

Kinectrics Inc. is strongly committed to diversity, equity and inclusion (DE&I) and welcomes applications from all individuals. To learn more about our commitments please visit our diversity, equity and inclusion and indigenous relations pages.  

 

Kinectrics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. 

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