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Data Science Fall Internship Jobs in Ontario (NOW HIRING)

Intact Financial

Data Scientist II

Ajax, ON · On-site

However, we encourage candidates who may fall outside of this range to apply as well. About the role We're looking for Data Scientist II to join our growing teams.You'llbuild and deliver data science ...

Intact Financial

Data Scientist II

Mississauga, ON · On-site

However, we encourage candidates who may fall outside of this range to apply as well. About the role We're looking for Data Scientist II to join our growing teams.You'llbuild and deliver data science ...

Intact Financial

Data Scientist II

Toronto, ON

However, we encourage candidates who may fall outside of this range to apply as well. About the role We're looking for Data Scientist II to join our growing teams.You'llbuild and deliver data science ...

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All JobsData Science Fall JobsData Science Fall Internship JobsData Science Fall Internship Jobs in Ontario

Data Science Fall Internship information

See Ontario salary details

$13K

$77.4K

$189K

How much do data science fall internship jobs pay per year?

As of Aug 2, 2026, the average yearly pay for data science fall internship in Ontario is $77,358.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,000.00 and $117,500.00 per year, depending on experience, location, and employer.

What types of projects can I expect to work on during a Data Science Fall Internship?

As a Data Science Fall Intern, you can expect to work on projects involving data cleaning, exploratory data analysis, and the development of predictive models using real-world datasets. Interns often collaborate with full-time data scientists and cross-functional teams to solve business problems, such as improving user engagement, optimizing processes, or generating actionable insights from large data sets. You may also participate in regular team meetings, present findings, and contribute to ongoing research or tool development. This hands-on experience helps you build both technical and communication skills within a dynamic and supportive environment.

What are the key skills and qualifications needed to thrive as a Data Science Fall Intern, and why are they important?

To thrive as a Data Science Fall Intern, you generally need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or experience in computer science, mathematics, or related fields. Familiarity with tools like pandas, scikit-learn, SQL, and data visualization libraries, as well as version control systems like Git, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help interns interpret data insights and collaborate with team members. These competencies are essential for producing actionable analyses and contributing meaningfully to data-driven projects in a short-term, fast-paced internship environment.

What is a Data Science Fall Internship?

A Data Science Fall Internship is a temporary, structured work experience offered by organizations during the fall semester, designed for students or recent graduates interested in data science. Interns typically work on real-world projects involving data collection, analysis, machine learning, and visualization under the guidance of experienced data scientists. This internship provides hands-on experience, exposure to industry tools and techniques, and helps participants build valuable skills for future careers in data science. It also offers networking opportunities and a chance to explore potential career paths within the field.

What is the difference between Data Science Fall Internship vs Data Analyst Intern?

AspectData Science Fall InternshipData Analyst Intern
Required CredentialsEnrolled in or recent graduate of a related field (e.g., Data Science, Computer Science, Statistics)Enrolled in or recent graduate of a related field (e.g., Data Analysis, Business, Statistics)
Work EnvironmentTech companies, startups, research labs, often collaborative and project-basedBusiness firms, consulting agencies, often focused on reporting and data visualization
Employer & Industry UsageUsed by tech firms, finance, healthcare, and academia for entry-level talentCommon in corporate, marketing, and consulting sectors for supporting decision-making

The Data Science Fall Internship and Data Analyst Intern roles share similarities in required education and work environment but differ in focus. Data Science internships emphasize machine learning, programming, and statistical modeling, while Data Analyst internships focus more on data visualization, reporting, and business insights. Both are valuable entry points into data careers, often overlapping in skills but serving different industry needs.

What are popular job titles related to Data Science Fall Internship jobs in Ontario? For Data Science Fall Internship jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Science Fall Internship jobs in Ontario look for? The top searched job categories for Data Science Fall Internship jobs in Ontario are:
What cities in Ontario are hiring for Data Science Fall Internship jobs? Cities in Ontario with the most Data Science Fall Internship job openings:
Data Science Fall Internship jobs near you
Infographic showing various Data Science Fall Internship job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,358 per year, or $37.2 per hour.

Data Science - Co-op Student

Rodan Energy Solutions Inc.

Mississauga, ON • On-site

Other

Posted 23 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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