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Scientific Machine Learning Jobs in Quebec (NOW HIRING)

GIRO, Inc.

Expert Data Science Developer

Montreal, QC · On-site +1

D. degree in Artificial Intelligence, Machine Learning, Data Science, or a related field. * You have at least 5 years of relevant experience in data science or a similar role. * You have strong ...

Scientific Games

Staff Data Scientist

Montreal, QC

... applied machine learning * Proven experience leading ambiguous, high-impact data science initiatives from framing through production business impact * Strong experience in at least three of ...

Targeted Talent

Data Scientist

Montreal, QC

$80K - $100K/yr

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Targeted Talent

Data Scientist

Montreal, QC

$80K - $100K/yr

Previous experience with Machine Learning, Data Science and solving problems at scale Perks: * Competitive Salary * Individual performance bonus * Health and dental benefits * 3 weeks' vacation

Autodesk

Principal Data Scientist

Montreal, QC

CA$129K - CA$189K/yr

This role brings data science into day-to-day product engineering, from instrumentation and experimentation through advanced analytics and machine learning. You will work on complex, high-scale ...

BRP

Data Scientist

Montreal, QC

Design, build, and validate machine learning models and statistical analyses, with clear success ... MSc (preferred) or BSc in Statistics, Data Science, Computer Science, Mathematics, Engineering ...

Td

Sr. Full Stack Data Science Engineer

Montreal, QC · On-site

CA$154K - CA$199K/yr

Lead cross-functional collaboration with data scientists, engineers, IT partners, and business ... Solid knowledge of applied Machine Learning, Deep Learning, Large Language Models * Solid cloud ...

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All JobsScientific Machine Learning JobsScientific Machine Learning Jobs in Quebec

Scientific Machine Learning information

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What are some common challenges faced by professionals in Scientific Machine Learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What are the key skills and qualifications needed to thrive as a Scientific Machine Learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Quebec? For Scientific Machine Learning jobs in Quebec, the most frequently searched job titles are:
Scientific Machine Learning jobs near you
Infographic showing various Scientific Machine Learning job openings in Quebec as of July 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, 1% Temporary, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution.

Expert Data Science Developer

GIRO, Inc.

Montreal, QC • On-site, Remote

Full-time

Posted 26 days ago

Job description

GIRO IS YOUR WAY FORWARD

At GIRO, our mission is clear: Improving quality of life around the world through software and services that increase the efficiency of public transport and postal delivery.

Joining us means contributing to projects and initiatives that makes a real difference to millions of people. Every line of code, every idea, every action, advances our impact around the world. Join us and let's lead the way forward, together.

Why choose GIRO?

Join a Quebec software company that is an international leader

Advance your career in a collaborative work environment where expertise and commitment are the driving force behind every project

Stability based on long-lasting client relationships and our long-term vision

AN ENVIRONMENT FOR GROWTH

Here, we focus on an inclusive and positive environment.

We offer a range of benefits, including

Flexible working hours, including remote work for a balanced life.

Team activities and annual traditions that we take pride in

Everyday support: Employee assistance program, telemedicine and mental health support.

Training and professional development opportunities to grow, learn and discover your way forward.

HOW YOU'LL MAKE A POSITIVE IMPACT


As part of the Data Science Development team, you will contribute to the design and development of machine learning-powered solutions that bring added value and new capabilities to our suite of large-scale software products.


In addition to working in an agile environment, a Data Science role at GIRO means:

  • Analyzing new challenges and applying critical thinking to propose innovative software solutions.
  • Taking ownership of all stages of the design and development of applications that leverage statistical methods or machine learning, including: Data manipulation and transformation; Model selection, training, and validation; Implementation and integration into our software product suite.
  • Documenting and testing developments.
  • Providing technical support to deployment, development, and project teams that use the features developed by your team.
  • Staying up to date with the latest advances in data science.

THE SKILLS THAT WILL MAKE YOU AN ESSENTIAL MEMBER OF OUR TEAM


  • You have completed a Master's or Ph.D. degree in Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • You have at least 5 years of relevant experience in data science or a similar role.
  • You have strong knowledge of applying statistical, machine learning, and deep learning techniques to solve real-world prediction and natural language processing challenges.
  • You have a solid understanding of MLOps practices.
  • You have experience integrating large language models (LLMs) and/or agentic AI into software solutions (prompting techniques, RAG, MCP).
  • You enjoy and are highly proficient in Python programming (knowledge of C++ is considered an asset).
  • You have excellent communication skills, particularly when it comes to explaining complex technical concepts to non-technical audiences.
  • You possess strong analytical and problem-solving skills.
  • You enjoy working as part of a team and thrive in a collaborative environment.
  • You are fluent in French, both spoken and written.

READY TO HELP SHAPE THE FUTURE WITH US?

Apply today and connect with our Talent Acquisition team. We look forward to meeting you!


In accordance with the standards and regulatory requirements to which GIRO adheres, all positions-whether permanent, fixed-term, or internship-are subject to a criminal background check. Positions that involve access to financial data are also subject to a credit check. All verifications are conducted in accordance with GIRO's established procedures.

Employment Conditions

Candidates must be legally authorized to work in the selected country at the time an offer of employment is made. It is the sole responsibility of candidates to obtain any required work permits, visas, or other authorizations prior to their start date.

The masculine form is used solely to simplify the text.

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