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Computer Science Environmental Jobs in Ontario (NOW HIRING)

... environment Minimum Qualifications * Bachelor's degree in a relevant field, such as Engineering, Data Science, Statistics, Computer Science, Economics, or equivalent experience * 5+ years of ...

Data Scientist

Woodbridge, ON

CA$85K - CA$115K/yr

A University degree in Engineering, Statistics, Mathematics, or Computer Science. * Minimum 3-5 ... We aim to create a safe and supportive environment where all employees can thrive. Accommodation ...

Bachelor's degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science ... environments. * Certifications: Google Cloud Professional Data Engineer or Machine Learning ...

Bachelor's degree or equivalent in Data Analytics, Statistics, Mathematics, or Computer Science ... environments. * Certifications: Google Cloud Professional Data Engineer or Machine Learning ...

CAD Designer

Ottawa, ON · On-site

CA$80K - CA$100K/yr

CAD Designer Ottawa, ON At EXP, we're driven to provide innovative solutions for the world's built and natural environments. As a team of engineers, architects, designers, scientists, creators, and a ...

CAD Designer

Brampton, ON · On-site

CA$62K - CA$82K/yr

CAD Designer Brampton, ON At EXP, we're driven to provide innovative solutions for the world's built and natural environments. As a team of engineers, architects, designers, scientists, creators, and ...

Showing results 21-40

Computer Science Environmental information

See Ontario salary details

$20K

$67K

$135.5K

How much do computer science environmental jobs pay per year?

As of Sep 12, 2026, the average yearly pay for computer science environmental in Ontario is $67,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $90,500.00 per year, depending on experience, location, and employer.

What is a computer science environmental?

A Computer Science Environmental job involves applying computer science skills to solve environmental challenges, such as climate modeling, data analysis for sustainability, or developing software for environmental monitoring. Professionals in this field work with big data, machine learning, and simulation models to assess environmental impacts and optimize resource management. They may collaborate with scientists, policymakers, and engineers to develop technology-driven solutions for conservation, pollution control, and energy efficiency.

What kinds of projects do computer science environmental professionals typically work on?

Professionals in Computer Science Environmental roles commonly work on projects such as developing models to predict the impacts of climate change, creating software tools for environmental data analysis, or building systems for monitoring air and water quality. You may collaborate with environmental scientists, engineers, and policy makers to design technology-based solutions that address environmental issues. These projects often involve handling large data sets, implementing algorithms, and visualizing results for diverse audiences. This dynamic role offers the opportunity to make a tangible impact on sustainability efforts by leveraging your technical expertise in real-world applications.

What are the key skills and qualifications needed to thrive in the computer science environmental position, and why are they important?

To thrive as a Computer Science Environmental professional, you should possess a solid background in computer science, data analysis, and environmental science, often supported by a relevant degree. Familiarity with programming languages (such as Python or R), geographic information systems (GIS), climate modeling software, and environmental databases is typically required. Strong problem-solving skills, attention to detail, and collaborative communication help individuals stand out in multidisciplinary teams. These skills are vital for effectively developing, analyzing, and implementing technology-driven solutions to complex environmental challenges.

What are popular job titles related to Computer Science Environmental jobs in Ontario?

For Computer Science Environmental jobs in Ontario, the most frequently searched job titles are:

Infographic showing various Computer Science Environmental job openings in Ontario as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 85% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $67,046 per year, or $32.2 per hour.

PepsiCo Canada: Data Science Winter 2027 Co-op

Mississauga, ON

PepsiCo
Food and Drink Manufacturing • 10K+ employees

CA$25 - CA$37.50/hr

Full-time

Posted 12 days ago


PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 906 frontline employees who took The Breakroom Quiz


Job description

Overview

Position: Data Science Co-op 

Location: Mississauga, ON  

Duration: 4 months 

Compensation: $25.00-37.50

At PepsiCo, you'll find the opportunity to grow your career, make an impact, and help shape what's next. As one of the world's leading food and beverage companies, our beloved brands-including Gatorade, Lay's, and Quaker-help create smiles with every sip and bite. Behind our products is a connected system that starts with how we source and grow ingredients alongside farmers and extends to how we make, move, and deliver products while driving positive impact for our business and communities. 

Our Data Science Intern role support PepsiCo Canada's business functions by leveraging data analysis and modeling techniques to deliver business objectives. This individual will compile, transform and analyze large diverse datasets to develop fact-based recommendations that contribute to achieving strategic goals. Success in this role requires a results-driven approach, intellectual curiosity, analytical thinking, technical proficiency, and the ability to collaborate effectively with others.

Responsibilities
  • Collaborate Cross-Functionally: Work closely with teams across functions (e.g., Sales, Marketing, Supply Chain, Finance) to understand business needs and translate them into analytical solutions. 
  • Efficient Data Wrangling: Support the extraction, transformation, and loading of large datasets from various sources, ensuring data is clean, accurate, and ready for analysis. 
  • Integrate Solutions into Business Processes: Help deploy analytics and machine learning solutions into operational workflows, ensuring outputs are actionable and sustainable for the business. 
  • Communicate Technical Insights to Non-Technical Stakeholders: Present complex data science concepts, models, and findings in a clear, concise manner that drives business decision-making and understanding. 
  • Project Management with Agile Principles: Partner with business stakeholders to define project goals, gather regular feedback through iterative development cycles, and adjust priorities as needed to maximize impact. 
  • Visualize Insights: Create intuitive dashboards, reports, and data visualizations to highlight key findings and trends, making insights accessible to broader audiences. 
  • Build and Deploy Machine Learning Models: Develop predictive and prescriptive models aimed at solving real-world business problems, such as improving performance, forecasting demand, or reducing inefficiencies. 
Qualifications
  • Currently pursuing a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field; a minor in Business or Commerce is preferred. 
  • Strong understanding of mathematical models that support data science methodologies, with familiarity in relevant programming languages. 
  • Ability to communicate complex technical concepts clearly and concisely to technical and non-technical audiences. 
  • Strong analytical, problem-solving, and conceptual thinking skills. 
  • Proven ability to succeed in fast-paced, dynamic, and complex environments. 
  • Capable of working independently with minimal supervision while managing multiple priorities. 
  • Skilled in building effective working relationships and communicating with business stakeholders. 
  • Proficient in SQL and Python for data analysis, ML modeling, and solution development. 
  • Exposure to GenAI concepts and tools is an asset. 
  • Self-motivated, enthusiastic, and able to build collaborative relationships! 

At the heart of PepsiCo are our people: professionals who bring curiosity, drive, and fresh thinking, working together to turn ideas into action. Across functions, teams, and markets, we collaborate to solve challenges, unlock new opportunities, and create meaningful impact for our consumers, customers, and communities. 

No matter your role, you'll be part of a connected community where your contributions matter, your voice is heard, and your development is supported. With opportunities to grow, belong, and smile, PepsiCo offers more than a place to build your career-it offers the chance to help create what's next. 

PepsiCo may use Artificial Intelligence as part of its hiring process. Specifically, we may use AI-based tools to screen, assess, or select applicants. 

This posting is for an existing vacancy 

Employment Type: FULL_TIME

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About PepsiCo

Sourced by ZipRecruiter

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Purchase, NY, US

Year founded

1965