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Data Science Student Jobs in Ontario (NOW HIRING)

Generac

Intern Data

Toronto, ON · On-site +1

CA$29 - CA$40/hr

Our Data Science team analyzes data from all of our ecobee products and uncovers hidden meanings ... You are currently a full-time student in a technical or quantitative discipline - Computer Science ...

Mcgill

CA$30/hr

Preferably graduate students in Statistics. * Data Science in Python/R: Preferably those with project experience in each language. * AI/Society: Preferably those with programming experience in non ...

U Education Management Pvt. Ltd.

... of college students, young professionals, housewives, etc. Tasks Include Data operations ... We\- re one of the few applications of AI\/ data science that actually has a massive market and ...

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Data Science Student information

What is the 80 20 rule in data science?

The 80/20 rule in data science, also known as the Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features, data points, or tasks to improve model performance efficiently.

What types of projects or hands-on experiences can I expect as a Data Science Student?

As a Data Science Student, you can expect to work on a variety of data-driven projects such as analyzing real-world datasets, building predictive models, and creating data visualizations. These projects often involve using popular programming languages and tools to solve practical problems, either individually or as part of a team. Many programs encourage participation in hackathons, internships, or collaborative research to provide hands-on experience and deeper industry exposure. Gaining experience through these projects is crucial for building your portfolio and preparing for future roles in the data science field.

What are the opportunities for data science students?

Data science students can pursue opportunities such as internships, research projects, and entry-level roles in industries like technology, finance, healthcare, and marketing. These roles often involve working with tools like Python, R, and SQL, and may require certifications or coursework in machine learning, statistics, and data analysis.

What jobs can you get if you study data science?

Data science students can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

Can I get a data scientist job with no experience?

Entry-level data scientist positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools and techniques. While prior experience is preferred, candidates with strong analytical skills, relevant coursework, certifications, or personal projects can sometimes qualify for junior roles or internships to gain industry experience.

What are the key skills and qualifications needed to thrive in the Data Science Student position, and why are they important?

To thrive as a Data Science Student, a solid understanding of statistics, programming (especially in Python or R), and data analysis concepts is required, often backed by enrollment in a relevant degree or certification program. Familiarity with tools such as Jupyter Notebook, SQL, and visualization libraries, as well as participation in online courses or bootcamps, is highly valuable. Strong problem-solving abilities, curiosity, and effective communication skills help students excel when tackling projects and collaborating with peers. These skills are essential for mastering complex concepts, contributing to team projects, and preparing for a successful transition into a data science career.

What is a Data Science Student job?

A Data Science Student job typically refers to an internship, part-time role, or research position where students apply their data science skills in a practical setting. These roles often involve working with real-world datasets, building models, analyzing trends, and assisting in data-driven decision-making. Students may use programming languages like Python or R, work with machine learning algorithms, and gain experience with tools such as SQL, Pandas, and TensorFlow. This hands-on experience helps bridge the gap between academic learning and industry applications, preparing students for full-time roles after graduation.

What are the most commonly searched types of Data Science Student jobs in Ontario? The most popular types of Data Science Student jobs in Ontario are:
What are popular job titles related to Data Science Student jobs in Ontario? For Data Science Student jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Science Student jobs in Ontario look for? The top searched job categories for Data Science Student jobs in Ontario are:
Data Science Student jobs near you
Infographic showing various Data Science Student job openings in Ontario as of July 2026, with employment types broken down into 82% Full Time, 9% Part Time, 6% Temporary, and 3% Summer. Highlights an 62% In-person, 25% Hybrid, and 13% Remote job distribution.

Data Science - Co-op Student

Rodan Energy Solutions Inc.

Mississauga, ON • On-site

Other

Posted 20 days ago

Job description

About Us:  

At Rodan Energy, our mission is Making Sustainable, Attainable. As a leading North American energy services company, we provide innovative energy solutions that help clients reduce energy costs and GHG emissions, support electrification, and enhance grid efficiency. With over 20 years of expertise, we’re trusted by North America’s largest energy users, power producers, and utilities.  


Why Join Rodan:  

  • Thriving Industry: Join a rapidly growing sector at the forefront of innovation and sustainability, helping shape the future of energy management. 

  • Product Market Fit: With a 98% client retention rate and consistent year-over-year growth, Rodan has built a reputation for delivering trusted, long-term partnerships with industry leaders

  • Top Talent & Strong Culture: Collaborate with high-performing, passionate individuals who are committed to excellence, innovation, and sustainability.
     

What Makes This Role Great:  

  • Gain hands-on experience building forecasting models that inform real facility, market, and pricing decisions
  • Exposure to time-series modeling, ML pipelines, and the Databricks platform in a live production environment
  • Work alongside experienced data scientists and energy-market domain experts
  • Opportunity to build technical skills in a collaborative, high-impact environment
  • In-office collaboration, five days a week, designed for hands-on learning and mentorship


Key Responsibilities:

  • Design, build, and validate time-series forecasting models for facility load, market demand, and electricity price signals
  • Explore and tune modeling approaches (statistical, ML, and deep learning) with guidance from the team, based on the forecasting horizon, data availability, and accuracy requirements
  • Contribute to ML pipelines on the Databricks platform using PySpark, MLflow, and Delta Lake (we’ll teach you the platform)
  • Build dashboards and automated reports in Databricks to replace manual Excel workflows
  • Learn from energy-market domain experts and incorporate their knowledge of market structures, tariff rules, and grid dynamics into model features and evaluation frameworks
  • Communicate model performance, assumptions, and limitations to both technical and non-technical stakeholders

Required Skills & Qualifications
  • Currently enrolled in a registered Co-op program and working towards an undergraduate or graduate degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative field
  • Working knowledge of Python, SQL, Excel, and core data science libraries (e.g., pandas, scikit-learn, numpy)
  • Foundational understanding of statistical or machine learning modeling concepts, ideally including time-series methods.
  • Strong analytical thinking and clear written and verbal communication skills.
  • Collaborative mindset, self-motivated, and comfortable asking questions and iterating on feedback
Nice to Have:
  • Coursework, projects, or work experience related to the electricity sector and curiosity about the data and dynamics that drive it
  • Familiarity with weather data integration for load and renewable forecasting
  • Any exposure to the Databricks platform
  • Familiarity with Git/GitHub for organizing and version-controlling your code

Term Details, Compensation & Work Location
  • Term: September 2026 – December 2026 (4-month co-op term)
  • Compensation: $20.00 - $25.00 per hour, based on year of study, relevant experience, and internal equity
  • Schedule: 40-hour work week
  • Location: Mississauga, ON
  • Work Arrangement: 5 days per week in-office
  • Vacancy Status: This posting is for an existing Fall 2026 co-op opportunity
     
Life at Rodan – Our Culture:
At Rodan, we believe a great workplace goes beyond the work itself. Recognized as Canada’s Top Small & Medium Employer of 2026, we’ve built a culture rooted in collaboration, celebration, and giving back. Here’s what you can look forward to when you join the team:
  • Celebrations Throughout the Year: We mark occasions and holidays all year long with team events including holiday parties, team dinners, bowling nights, go-karting, Annual Summer BBQ, golf tournaments, and more.
  • Learning & Growth: Lunch and learns, crossword challenges, and education-funding programs to keep you sharp and growing in your career.
  • Giving Back: Our Employee Initiatives Committee (EIC) organizes food drives and fundraising for local charities throughout the year – and everyone is welcome to get involved.
     

Apply Now: If you're a curious, driven student who's passionate about data, modeling, and the future of energy, we want to hear from you! Please submit your resume, cover letter, and unofficial transcript together as one attachment.
Website | Twitter | LinkedIn 
Hiring Process
Rodan Energy's hiring process is designed to identify candidates who are the right fit — technically, culturally, and professionally. As part of our process, candidates should be aware of the following:

  • Background Check: As part of our hiring process, the successful candidate will be required to complete a background check, which may include a criminal record check and credential verification. Professional references will also be collected as part of the process.
  • Assignment: Shortlisted candidates may be asked to complete a practical assignment. This is an opportunity to demonstrate your problem solving approach, creativity, and how you think through a real-world dataset.

We respect your time and will provide clear instructions and reasonable timelines for any assignments requested.
Rodan Energy Solutions is committed to an inclusive, accessible recruitment and employment experience in compliance with the Accessibility for Ontarians with Disabilities Act, 2005 (AODA). Accommodations are available upon request throughout the hiring process and, if hired, during employment. If you require an accommodation, please contact Asmin.Shadir@rodanenergy.com so we can work with you to meet your needs in a manner that respects dignity, independence, integration, and equal opportunity.

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