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Phd Science Jobs in Quebec (NOW HIRING)

Senior Data Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

  • PTO

What you will bring Master's degree or PhD in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field, or equivalent experience. Strong ...

Senior Applied AI Scientist Location: Hybrid, Quebec, Canada As a Senior Applied AI Scientist, you ... BSc, MSc, or PhD in machine learning or a related specialty * at least 6 years of experience doing ...

Senior Applied AI Scientist Location: Hybrid, Quebec, Canada As a Senior Applied AI Scientist, you ... BSc, MSc, or PhD in machine learning or a related specialty * at least 6 years of experience doing ...

C++ Developer

Quebec, QC · On-site +1

  • Medical

  • Dental

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

C++ Developer

Montreal, QC · On-site +1

  • Medical

  • Dental

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

C++ Developer

Montreal, QC · On-site +1

  • Medical

  • Dental

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

C++ Developer

Quebec, QC · On-site +1

  • Medical

  • Dental

A Masters or PHD in Computer Science, Engineering. or equivalent Some AWESOME selling points: * Remote + flexible work schedule * Competitive salary + Extended Health and Dental Benefits * Amazing ...

Data Scientist II

Quebec, QC · On-site

  • Life

  • Retirement

MSc and/or PhD are an asset. * Minimum of 2 years of experience in data science, machine learning and advanced statistics solving business problems. * Technical Skills: Proficiency in multiple ...

Data Scientist II

Montreal, QC · On-site

  • Life

  • Retirement

MSc and/or PhD are an asset. * Minimum of 2 years of experience in data science, machine learning and advanced statistics solving business problems. * Technical Skills: Proficiency in multiple ...

Senior Deep Learning Engineer

Montreal, QC · On-site +1

$130K - $180K/yr

Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production

Senior Deep Learning Engineer

Quebec, QC · On-site +1

$130K - $180K/yr

Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production

Senior Deep Learning Engineer

Quebec, QC · On-site +1

$130K - $180K/yr

Master's or PhD in Computer Science, Engineering, or related field * Experience in embedded or low-level programming * Knowledge of CUDA/OpenGL * Experience deploying neural networks in production

Data Scientist II

Quebec, QC · On-site

  • Life

  • Retirement

MSc and/or PhD are an asset. * Minimum of 2 years of experience in data science, machine learning and advanced statistics solving business problems. * Technical Skills: Proficiency in multiple ...

Showing results 21-40

Phd Science information

What are the key skills and qualifications needed to thrive as a PhD scientist?

To thrive as a PhD Scientist, you need advanced expertise in your scientific discipline, strong research skills, and a doctoral degree (PhD) in a relevant field. Familiarity with specialized laboratory equipment, data analysis software (such as R or Python), and publication processes is typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for presenting complex findings and collaborating with peers. These skills and qualifications are crucial for driving innovative research, producing publishable results, and contributing to scientific advancement.

What is a PhD in science?

A PhD in Science is the highest academic degree awarded in scientific fields such as biology, chemistry, physics, or environmental science. It typically involves several years of advanced coursework, followed by original research that contributes new knowledge to the field. Graduates must defend a dissertation before a panel of experts. Earning a PhD in Science prepares individuals for careers in academia, research, industry, and leadership roles within scientific organizations.

What is the difference between Phd Science vs Data Scientist?

AspectPhd ScienceData Scientist
Required CredentialsPhD in a scientific field, research experienceBachelor's or Master's in CS, stats, or related field; often a PhD preferred
Work EnvironmentResearch labs, academia, industry R&DTech companies, finance, healthcare, consulting
Industry UsageResearch roles, scientific analysis, product developmentData analysis, machine learning, predictive modeling

While both roles involve analytical skills and data handling, Phd Science focuses on scientific research and experimentation, often in academic or R&D settings. Data Scientists primarily analyze large datasets to inform business decisions and develop models in industry environments. The key difference lies in their application areas and typical work environments.

What are the typical career advancement paths for someone with a PhD in science in academia and industry?

Individuals with a PhD in Science often start in postdoctoral or entry-level research positions, where they build specialized expertise and publish their findings. In academia, advancement typically involves progressing to assistant, associate, and full professor roles, with additional opportunities to lead research groups or departments. In industry, PhD holders can move into senior scientist, project manager, or R&D director roles, with the potential to transition into leadership, policy, or consulting positions. Building a strong professional network, publishing impactful research, and developing leadership skills are key to advancing in both sectors.

What job categories do people searching Phd Science jobs in Quebec look for?

The top searched job categories for Phd Science jobs in Quebec are:

Infographic showing various Phd Science job openings in Quebec as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 18% Part Time, and 3% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution.

Senior Data Scientist

Trane Technologies plc

Montreal, QC • On-site

Full-time

Medical, Retirement, PTO

Posted 23 days ago


Trane Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 299 frontline employees who took The Breakroom Quiz

117th of 538 rated manufacturers


Job description

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including TraneandThermo King, sustainability is not just how we do business-it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.

Learn about our benefits designed for you to Thrive at work and at home.

We boldly go.

Where is the work:

Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.

We are seeking a highly resourceful Senior Data Scientist to join our international AI in Engineering team within Advanced Concepts & Capabilities. This role designs, builds, and deploys AI- and data-driven solutions that improve engineering productivity, accelerate model and simulation workflows, enhance access to engineering knowledge, and support the development of data-enabled engineering tools across Trane Technologies. The role operates within a globally distributed team focused on generative AI, machine learning, deep learning, high performance computing, data access, content engineering, data enhancement, and agent-based workflows.


What you will do

Develop data science, machine learning, and generative AI solutions that support engineering use cases such as data access, content extraction, data enhancement, recall and extraction, and agent-enabled workflows.

Build and refine data pipelines, preprocessing workflows, and model-ready datasets for engineering, test, and simulation data.

Design, test, and deploy predictive, optimization, and AI-enabled applications that improve engineering productivity and decision-making.

Support AI software development lifecycle initiatives by contributing to proof-of-concepts, use case evaluation, implementation planning, and enterprise-facing tool development.

Help convert fragmented engineering knowledge and historical data into searchable, reusable, agent-accessible resources that improve continuity and reduce lost expertise.

Collaborate with engineering, modeling and simulation, controls, and digital teams to integrate AI into tools, workflows, and product-development processes.

Contribute to engineering data and AI initiatives spanning domain-specific chatbots, regulatory and compliance support tools, digital twins, time-series forecasting, solver acceleration, and physics-informed models.

Work with cloud platforms, connectors, registries, and orchestration frameworks to enable secure and scalable AI solutions for engineering teams.

Prepare concise technical readouts, visuals, and recommendations that communicate results and next steps to technical stakeholders and leadership.

Mentor junior team members, contribute to team standards, and help build repeatable methods for AI and data science delivery across the international AI in Engineering organization.


What you will bring

Master's degree or PhD in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field, or equivalent experience.

Strong experience with Python for data analysis, model development, and application development.

Solid foundation in machine learning, statistical modeling, and generative AI concepts.

Experience handling raw, unstructured, and engineering data, including preprocessing, feature development, and preparing data for modeling workflows.

Familiarity with SQL, NoSQL, cloud services, and modern AI/ML tooling.

Experience building or supporting applications, workflows, or services that operationalize analytics or AI solutions.

Ability to work effectively across a distributed, international team and partner with engineering stakeholders across multiple domains and locations.

Strong analytical, communication, and problem-solving skills, with the ability to translate technical concepts into practical business and engineering outcomes.


Key Competencies

Applied data science for engineering and technical domains.

Generative AI and agent-oriented workflow thinking.

Data handling, reuse, enhancement, and access enablement.

Collaboration in cross-functional and globally distributed engineering environments.

Curiosity, initiative, and the ability to convert emerging AI capabilities into practical tools and workflows.

Excellent communication and presentation skills.

Annual Base Salary Range or Hourly Base Pay Range:

$90,900.00 - $189,800.00

Compensation Type:

Salary

Incentive Eligible:

Yes

Sales Commission Eligible:

No

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

Thrive at work and at home:


  • Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives - WE DARE TO CARE!
  • Family building benefits include fertility coverage and adoption/surrogacy assistance.
  • 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
  • Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave.
  • Educational and training opportunities through company programs along with tuition assistance and student debt support.

Disclaimer: Benefit offerings may vary depending on Collective Bargaining Agreements and local/state regulations.


Safety Sensitive Role:

No

The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.


What Trane Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Trane Technologies logo

About Trane Technologies

Sourced by ZipRecruiter

At Trane Technologies and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what's possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Industry

Industrial machinery manufacturing and machinery manufacturing

Company size

10,000+ Employees

Headquarters location

Davidson, NC, US