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Computer Science Environmental Jobs in Ontario (NOW HIRING)

Manulife

Data Scientist

Toronto, ON · Hybrid

Required Qualifications: * Advanced degree in Statistics, Mathematics, Computer Science ... Experience with Azure, Databricks, Git, MLflow, or cloud-based analytics environments.

Larus Technologies

Data Scientist

Ottawa, ON · On-site

... Computer Science, etc.); * Master's or Ph.D. is considered an asset; * 2+ years of direct ... Strong communication skills; * Ability to work in a dynamic, fast-paced work environment;

MasterCard

Director, Data Scientist

Toronto, ON · Hybrid

... large-scale environments, with the ability to operate across the full lifecycle from problem ... Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field ...

GFL Environmental

Data Engineer

Vaughan, ON

Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment. Education and Experience: A bachelor's degree in computer science, Engineering, or a ...

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All JobsComputer Science Environmental JobsComputer Science Environmental Jobs in Ontario

Computer Science Environmental information

See Ontario salary details

$20K

$67K

$135.5K

How much do computer science environmental jobs pay per year?

As of Aug 22, 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:

What job categories do people searching Computer Science Environmental jobs in Ontario look for?

The top searched job categories for Computer Science Environmental jobs in Ontario are:

Computer Science Environmental jobs near you
Infographic showing various Computer Science Environmental job openings in Ontario as of August 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Temporary. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $67,046 per year, or $32.2 per hour.

Senior Data Scientist (Applied AI & Analytics)

ITPS (Canada) LTD

London, ON • On-site

CA$110K - CA$150K/yr

Full-time

Re-posted 18 days ago

Job description

Job Title: Senior Data Scientist (Applied AI & Analytics)

Location: London, ON / North Bay, ON (Hybrid)
Employment Type: 2-Year Contract (with option to extend)
Salary Range: $110,000 – $150,000 CAD (commensurate with experience)
Relocation Support: Moving allowance available


About ITPS

International Test Pilots School (ITPS Canada Ltd.) is a globally recognized aerospace training organization specializing in advanced flight training, flight test education, and tactical aviation programs. ITPS works with military organizations, government agencies, and aerospace companies worldwide to deliver high-performance training solutions supported by modern aircraft, simulation systems, and evolving data-driven methodologies.

As part of its continued investment in innovation, ITPS is expanding its capabilities in data analytics, artificial intelligence, and advanced training technologies.


Role Overview

ITPS is seeking a Senior Data Scientist to lead the development of advanced data analytics and AI capabilities within a growing R&D initiative. This role will focus on transforming complex, multi-source operational data into structured insights, performance metrics, and scalable analytical tools.

The successful candidate will play a key role in shaping the technical direction of the project, developing data models, and establishing best practices for data processing, analysis, and integration. This individual will also support the future build-out of a data team.


Key Responsibilities

  • Lead the design and development of data processing pipelines for complex, multi-source datasets
  • Develop methodologies to extract meaningful insights from time-series and high-frequency data
  • Design and implement statistical models and machine learning approaches where appropriate
  • Structure and integrate diverse data sources into unified analytical frameworks
  • Define key metrics, features, and indicators for performance analysis
  • Collaborate with subject matter experts to translate operational concepts into measurable outputs
  • Ensure data quality, consistency, and reliability across datasets
  • Support visualization and reporting of analytical results
  • Establish best practices for data management, documentation, and reproducibility
  • Contribute to technical planning and project execution
  • Participate in hiring and mentoring of junior data team members as the project expands


Required Qualifications & Experience

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Mathematics, or a related field
  • 5+ years of experience in applied data science or analytics roles
  • Strong proficiency in Python (pandas, NumPy, scikit-learn or similar libraries)
  • Experience working with time-series data and large, complex datasets
  • Strong data wrangling, preprocessing, and feature engineering skills
  • Experience developing and deploying analytical models in real-world environments
  • Solid understanding of statistical methods and data analysis techniques
  • Experience with data visualization tools (e.g., matplotlib, seaborn, Power BI, or similar)
  • Ability to work independently and translate ambiguous problems into structured solutions


Preferred Qualifications

  • Experience with multi-modal data (e.g., sensor, telemetry, or behavioral data)
  • Experience in aerospace, defense, simulation, or human performance analytics
  • Familiarity with machine learning model development and evaluation
  • Experience with data architecture, pipelines, and cloud-based tools
  • Prior experience in R&D or applied innovation environments


What We’re Looking For

  • Strong problem-solving ability and practical mindset
  • Ability to work with incomplete or evolving datasets
  • Comfortable operating in an applied, hands-on environment
  • Strong communication skills and ability to work with non-technical stakeholders
  • Interest in building new capabilities from the ground up


Compensation & Benefits

  • Competitive salary based on experience ($110,000 – $150,000 CAD)
  • Moving allowance available for qualified candidates
  • Opportunity to work on a high-impact, technically challenging project
  • Potential for contract extension based on project success and business needs


Why Join ITPS

This is a unique opportunity to work at the intersection of aerospace, data, and advanced analytics within a globally recognized organization. The role offers the chance to build foundational capabilities, work with highly specialized data, and contribute to the development of next-generation training technologies.


AI Disclosure: We do not use AI to evaluate applicants or make decisions during the interview process. All candidate assessments and hiring decisions are made by our recruitment and leadership teams.