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Senior Data 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 ...

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 ...

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 - ...

A career as a Senior Data Scientist in the Compliance team at National Bank means acting as a regulatory risk modelling specialist. This job allows you to have a positive impact on our organisation ...

A career as a Senior Data Scientist in the Compliance team at National Bank means acting as a regulatory risk modelling specialist. This job allows you to have a positive impact on our organisation ...

The Senior AI Data Scientist is a senior individual contributor role within Data Science, AI, & Agentic. This role is responsible for leading complex analytical, predictive, and applied AI ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

As an early senior technical leader, you will work closely with the Principal Data Scientist, Staff peers, and Senior Data Scientists to define the modeling standards, decision science patterns, and ...

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Senior Data Scientist information

What are some of the main challenges senior data scientists face when leading cross-functional projects?

Senior Data Scientists often encounter challenges such as aligning project goals across diverse teams, managing expectations of non-technical stakeholders, and ensuring data quality and accessibility. Balancing long-term research initiatives with immediate business needs can also be demanding. Effective communication, project management skills, and the ability to translate complex findings into actionable insights are essential for overcoming these hurdles and driving successful outcomes.

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

To thrive as a Senior Data Scientist, you need advanced expertise in statistics, machine learning, data analysis, and programming, typically supported by a degree in a quantitative field and several years of experience. Familiarity with tools like Python, R, SQL, cloud platforms, and machine learning frameworks, as well as relevant certifications such as AWS Certified Machine Learning or TensorFlow Developer, is highly valuable. Strong problem-solving abilities, communication skills, and leadership qualities help in translating data insights into actionable business strategies and mentoring junior team members. These skills and qualities are crucial for driving impactful data-driven decisions and fostering innovation within organizations.

What is a senior data scientist's salary?

A senior data scientist's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, statistical analysis, and proficiency with tools like Python or R can influence compensation levels.

What does a senior data scientist do?

A Senior Data Scientist leads advanced analytical projects, utilizing statistical modeling, machine learning, and data mining techniques to extract insights from large datasets. They collaborate with cross-functional teams to identify business opportunities, design predictive models, and communicate findings to stakeholders. In addition to technical expertise, they often mentor junior data scientists, help define data strategies, and ensure best practices in data analysis and model deployment.

What is the difference between Senior Data Scientist vs Data Analyst?

AspectSenior Data ScientistData Analyst
Required CredentialsMaster's or PhD in Data Science, Statistics, or related fieldBachelor's degree in related field, often with certifications
Work EnvironmentAdvanced analytics, modeling, and machine learning projectsData reporting, visualization, and basic analysis
Employer & Industry UsageTech, finance, healthcare, and large enterprisesRetail, marketing, small to medium businesses

While both roles involve working with data, Senior Data Scientists focus on complex modeling and predictive analytics, whereas Data Analysts primarily handle data reporting and visualization. The Senior Data Scientist role requires advanced technical skills and higher education, making it suitable for more complex projects in larger organizations.

What is a senior data scientist?

A senior data scientist does complex data analysis. Job duties include gathering data and writing reports that can help people make decisions. In some cases, they may offer machine learning which is a way to help computers process and understand data. A senior data scientist may also be asked to formulate an algorithm to solve work problems. You need statistics and programming knowledge to be successful in this career.

More about Senior Data Scientist jobs
What are the most commonly searched types of Data Scientist jobs in Quebec? The most popular types of Data Scientist jobs in Quebec are:
What are popular job titles related to Senior Data Scientist jobs in Quebec? For Senior Data Scientist jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Senior Data Scientist jobs in Quebec look for? The top searched job categories for Senior Data Scientist jobs in Quebec are:
What cities in Quebec are hiring for Senior Data Scientist jobs? Cities in Quebec with the most Senior Data Scientist job openings:
What are popular job titles related to Senior Data Scientist jobs in QC? For Senior Data Scientist jobs in QC, the most frequently searched job titles are:
Infographic showing various Senior Data Scientist job openings in Quebec as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 69% In-person, and 31% Remote job distribution.

Full-time

Re-posted 3 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