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Computer Science Data Science Jobs in Quebec (NOW HIRING)

PhD or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related quantitative field preferred Additional Information *This is not intended to be all ...

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Data Science * Computer Science / Engineering * Software Engineering (or equivalent) Other * Bilingual (English & French) Please note: Interested applicants must apply directly to the employer to be ...

Data Scientist

Montreal, QC · Hybrid

CA$80K - CA$90K/yr

Bachelor's in computer science or related field * 5+ Years Hands-on experience in building ML and Data Science solutions for real world problems * Understanding of ML models and concepts, good ...

Sr. Full Stack Data Science Engineer

Montreal, QC · On-site

CA$154K - CA$199.50K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $154,000 - $199,500 CAD The pay details ... Lead cross-functional collaboration with data scientists, engineers, IT partners, and business ...

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of elite ... Advanced degree (MSc or PhD) in a quantitative field - statistics, mathematics, computer science ...

Bachelor's in computer science or related field. * Years of experience: 5+ * Hands-on experience in building ML and Data Science solutions for real world problems. * Understanding of ML models and ...

Data transformation: Turn complex databases into actionable insights and recommendations that can ... computer science, or a related discipline), or an equivalent combination of education and ...

Effectively communicate the analytics approach and data science lifecycle with leadership and business partners. * Advocate and educate on the value of data driven decision making focusing on the ...

Bachelor's or advanced degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or related field. * Significant experience in data science, advanced analytics, or ...

Data Transformation: Convert complex databases into actionable insights and recommendations that ... Degree in a relevant discipline (computer science, AI, mathematics, engineering, operations ...

Data Transformation: Convert complex databases into actionable insights and recommendations that ... Degree in a relevant discipline (computer science, AI, mathematics, engineering, operations ...

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Infographic showing various Computer Science Data Science job openings in Quebec as of May 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Senior Data Scientist

Giesecke+Devrient

Montreal, QC • On-site

Other

Posted 21 days ago


Job description

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=26921&career_ns=job_application