Data Analytics Trainee Jobs in Ontario (NOW HIRING)

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.