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Scientist Jobs in Quebec (NOW HIRING)

We are seeking a highly analytical and execution-focused Senior Data Scientist to join G+D's new AI Hub. The ideal candidate will combine strong expertise in machine learning, statistical modeling ...

About the role Intact is looking for a Data Scientist to turn complex data into practical solutions (prediction, segmentation, optimization, automation) and to generate actionable insights. Within ...

At Gilead Sciences Canada Inc. we take pride in being recognized as one of Greater Toronto's Top Employer 2024. Click here to find out why Gilead Sciences Canada is a top employer! Chez Gilead ...

Scientific Games: Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to ...

Scientist, R&D Proteomics CellCarta, a leading Contract Research Organization, is looking for a Scientist to join our growing R&D team. In this role, you will leverage cutting-edge mass spectrometry ...

We are looking for an AI Scientist to join Quandela's AI and Quantum Machine Learning team between Paris and Montreal. You will develop and evaluate machine-learning approaches for quantum computing ...

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - ...

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - ...

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - ...

We are looking for an experienced Senior Data Scientist for our client. This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver You Have: * 3 - ...

Senior Data Scientist Montréal, Canada The Sr. Data Scientist will conduct detailed analysis of data sets and provide advanced analytics solutions to solve business problems, whilst leveraging ...

A career as a Senior Data scientist in the models, Technology and Transformation team at National Bank means serving as a modelling expert. Your analytical skills, multidisciplinary teamwork ...

Showing results 21-40

Scientist information

See Quebec salary details

$16

$40

$67

How much do scientist jobs pay per hour?

As of Aug 1, 2026, the average hourly pay for scientist in Quebec is $40.42, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $45.91 per hour, depending on experience, location, and employer.

What does a Scientist do?

A Scientist is a professional who conducts research to increase knowledge in a specific field, such as biology, chemistry, physics, or environmental science. They design and perform experiments, analyze data, and publish their findings to advance understanding and solve real-world problems. Scientists may work in laboratories, universities, government agencies, or private industry. Their work often contributes to technological advancements, public health, and policy development.

What Does a Scientist Do?

Scientists work in a remarkably diverse array of industries. Companies employ scientists to develop and improve products. Universities hire scientists to teach and do research in different disciplines; healthcare companies have a team of scientists working on medications, vaccines, and new treatments; and governments employ scientists to help with public projects. Scientists not only perform their specific job duties, but they contribute to the broader scientific community to increase knowledge of the physical world.

What is the difference between Scientist vs Chemist?

AspectScientistChemist
Required CredentialsBachelor's, Master's, or PhD in science-related fieldsBachelor's, Master's, or PhD in chemistry or related disciplines
Work EnvironmentResearch labs, universities, industry settingsLaboratories, manufacturing plants, research institutions
Industry UsageBroadly used across scientific research, academia, industryPrimarily in chemical manufacturing, pharmaceuticals, quality control

While both Scientists and Chemists work in research and laboratory settings, Scientists have a broader scope across various scientific fields, whereas Chemists specialize specifically in chemistry. Chemists often focus on chemical reactions, compounds, and materials, while Scientists may work in multiple disciplines such as biology, physics, or environmental science. The roles overlap in credentials and work environments, but their specific focus areas differ based on industry needs.

What are the key skills and qualifications needed to thrive as a Scientist, and why are they important?

To thrive as a Scientist, you need a solid background in your scientific discipline, strong analytical skills, and typically at least a bachelor's or advanced degree in a relevant field. Familiarity with laboratory equipment, data analysis software (such as MATLAB or R), and adherence to safety protocols are commonly required. Critical thinking, problem-solving abilities, and effective communication are essential soft skills for collaborating and sharing findings. These skills ensure rigorous research, reliable results, and impactful contributions to scientific advancement.

What are some common challenges scientists face when working on multidisciplinary research teams?

Scientists often collaborate with experts from various fields, which can present challenges such as differing terminologies, research methodologies, and expectations. Navigating these differences requires strong communication skills, adaptability, and a willingness to learn from other disciplines. Successful multidisciplinary teamwork often leads to innovative solutions, but it also demands effective project management and regular coordination to ensure all team members are aligned toward shared goals.
What are the most commonly searched types of Scientist jobs in Quebec? The most popular types of Scientist jobs in Quebec are:
What are popular job titles related to Scientist jobs in Quebec? For Scientist jobs in Quebec, the most frequently searched job titles are:
What cities in Quebec are hiring for Scientist jobs? Cities in Quebec with the most Scientist job openings:
What are popular job titles related to Scientist jobs in QC? For Scientist jobs in QC, the most frequently searched job titles are:
Infographic showing various Scientist job openings in Quebec as of July 2026, with employment types broken down into 1% As Needed, 91% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $84,083 per year, or $40.4 per hour.

Senior Data Scientist

Giesecke+Devrient

Montreal, QC • On-site

Other

Posted 23 days ago


Job description

Compensation: $150,000 - 170,000 plus up to $20,000 bonus, capped at 150%

Job Summary

Giesecke+Devrient is a globally leading SecurityTech company. We are seeking a highly analytical and execution-focused Senior Data Scientist to join G+D's new AI Hub.

The ideal candidate will combine strong expertise in machine learning, statistical modeling, experimentation, and business problem solving with the ability to translate complex enterprise challenges into scalable AI solutions that deliver measurable impact.

The role is designed to deliver immediate value through operational efficiencies and intelligent decision support, while simultaneously contributing to the development of differentiated AI capabilities and products within the SecurityTech domain.

This role contributes directly to G+D's enterprise-wide AI transformation and strategic value targets.

As part of G+D's global AI transformation, the Senior Data Scientist will collaborate closely with AI Engineers, ML Engineers, Data Engineers, product and project managers, and executive stakeholders to unlock enterprise-wide value through data science and machine learning. This role will function within a global matrix organization and report into the AI Hub leadership.

 Primary Responsibilities
  • Own data science initiatives end-to-end from problem framing through production deployment and performance monitoring

Data Science & Machine Learning Development

  • Design, develop, and validate machine learning models, predictive models, and advanced analytical solutions
  • Perform exploratory data analysis, feature engineering, and model performance evaluation
  • Develop statistical, forecasting, classification, anomaly detection, optimization, and causal inference models
  • Establish experimentation and A/B testing frameworks to measure business impact

AI Product Development & Delivery

  • Support the development and deployment of AI solutions across internal workflows and customer-facing products
  • Work closely with engineering teams to productionize models and analytical pipelines
  • Ensure solutions are scalable, reusable, and aligned with enterprise standards
  • Contribute to the integration of models into enterprise data and AI platforms

Governance, Ethics & Compliance

  • Ensure responsible AI practices including explainability, bias checks, traceability, and validation
  • Support model monitoring, drift detection, and lifecycle governance
  • Ensure compliance with global data privacy, security, and regulatory standards
  • Contribute to documentation and auditability standards for production AI systems

Stakeholder Engagement

  • Partner with business unit leaders and functional teams to identify and prioritize high-value use cases
  • Translate business challenges into measurable analytical solutions
  • Present insights, model outputs, and recommendations to technical and non-technical stakeholders
  • Influence the direction of AI and data science initiatives through technical leadership and business partnership

Team Building & Leadership

  • Contribute to building a high-performing AI and Data Science capability within the AI Hub
  • Mentor junior team members and promote best practices
  • Foster a culture of experimentation, rigor, and collaboration
  • Promote knowledge sharing across global and local teams

Qualifications, Experience and Educational Requirements

Work Experience: 

  • Five (5)+ years of experience in Data Science, Machine Learning, or Advanced Analytics, with proven experience delivering enterprise-scale AI or ML initiatives

Skills and Competencies:

  • Strong expertise in machine learning, statistical inference, predictive modeling, experimentation / A/B testing, causal inference, forecasting, optimization, and anomaly detection
  • Hands-on experience with Python, pandas, NumPy, scikit-learn, and SQL
  • Experience with one or more of: PyTorch, TensorFlow, XGBoost, LightGBM, time series forecasting frameworks
  • Strong understanding of cloud-native data and AI platforms
  • Experience working in regulated industries is a plus
  • French speaking is an asset


Education:

  • PhD or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field preferred

Additional Information

*This job description is not intended to be all inclusive. The candidate hired will also perform other reasonable related business duties as assigned by the supervisor. The company reserves the right to revise or change job duties as needed. This job description does not constitute a written or implied contract of employment.


By applying to this position, you are confirming you possess either a Canadian citizenship, permanent resident status or valid work permit.


Please note: Reference Checks and Credit, Criminal Background Checks will be administered on suitably qualified candidates. Your application will be kept on file for up to two years 

$$ Giesecke+Devrient ePayments Canada, Inc. is an equal opportunity employer and values diversity in its workforce, encouraging applications from all qualified individuals. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you would like to contact us, please contact Human Resources at careers.gdsci@gi-de.com 

 $$  $$ $$ $$  $$ https://career5.successfactors.eu/career?company=gieseckede&career_job_req_id=27434&career_ns=job_application