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Data Science Graduate Jobs in Ontario (NOW HIRING)

Td

Full Stack Data Science Engineer

Toronto, ON · On-site

CA$120K - CA$154K/yr

A graduate or undergraduate degree in a quantitative or analytics-focused discipline (e.g., Business Analytics, Data Science, Statistics, Mathematics, Engineering, Computer Science, Finance ...

Scotiabank

Data Scientist - AI/ML

Toronto, ON · On-site

The Data Scientist will be a core member of the Global AI/ML team, focused on creating value for ... University/Post graduate degree in a relevant STEM discipline (Science, Technology, Engineering ...

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 ...

Td

Applied Machine Learning Scientist II

Toronto, ON

CA$125K - CA$154K/yr

Graduate degree is considered an asset. 5+ years of relevant experience in machine learning, advanced analytics, data science, model evaluation, or related fields. Nice to Have Experience working in ...

Global Excel Management

Data Developer II

Windsor, ON · On-site

CA$35.06 - CA$46/hr

Bachelor's or graduate degree in computer engineering, mathematics, data science, or related disciplines. * 4-6 years of professional experience in a related field. * Experience using the following ...

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All JobsData Science Graduate JobsData Science Graduate Jobs in Ontario

Data Science Graduate information

See Ontario salary details

$24.5K

$87.4K

$195K

How much do data science graduate jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data science graduate in Ontario is $87,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,000.00 and $127,500.00 per year, depending on experience, location, and employer.

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

AspectData Science GraduateData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldDegree in Statistics, Mathematics, or related field
Work EnvironmentInternships, entry-level roles in tech or finance companiesBusiness, marketing, or finance departments across industries
Employer & Industry UsageTech firms, startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

Data Science Graduates typically focus on building models, machine learning, and advanced analytics, often requiring programming skills and a strong foundation in data science concepts. Data Analysts primarily interpret data, generate reports, and support decision-making with statistical tools. While both roles analyze data, Data Science Graduates usually work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What does a data science graduate do?

As a Data Science Graduate, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. Typical responsibilities include preparing datasets, validating model outputs, and presenting findings to both technical and non-technical stakeholders. You’ll often collaborate with data engineers, software developers, and business analysts to ensure your solutions align with organizational goals. This early-career role is a great opportunity to learn industry-standard tools, gain mentorship, and build a portfolio of impactful projects.

What are the key skills and qualifications needed to thrive as a data science graduate?

To thrive as a Data Science Graduate, you need strong analytical skills, a solid understanding of statistics, and proficiency in programming languages like Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks (e.g., scikit-learn, TensorFlow), and database management systems (e.g., SQL) is highly valuable. Strong communication, problem-solving, and adaptability help you convey insights and collaborate effectively with diverse stakeholders. These skills enable you to extract meaningful information from data, drive informed decisions, and add value to organizations in a data-driven world.

What is a data science graduate?

Data Science Graduates are individuals who have recently completed a degree or certification program in data science or a related field. They possess foundational knowledge in statistics, programming, and data analysis, and are equipped to apply these skills in real-world scenarios. These graduates are typically proficient in tools such as Python, R, SQL, and data visualization platforms, and are prepared for entry-level roles in data analytics, machine learning, or business intelligence. Their education often includes hands-on projects and internships to build practical experience. Data Science Graduates are in high demand across industries that rely on data-driven decision making.
What are popular job titles related to Data Science Graduate jobs in Ontario? For Data Science Graduate jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Science Graduate jobs in Ontario look for? The top searched job categories for Data Science Graduate jobs in Ontario are:
Data Science Graduate jobs near you
Infographic showing various Data Science Graduate job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $87,433 per year, or $42 per hour.

Data Science - Co-op Student

Rodan Energy Solutions Inc.

Mississauga, ON • On-site

Other

Re-posted 16 hours 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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