1

Scientist Python Jobs in Montreal, QC (NOW HIRING)

Own data science initiatives end-to-end from problem framing through production deployment and ... Hands-on experience with Python, pandas, NumPy, scikit-learn, and SQL * Experience with one or more ...

About the role Intact is looking for a Data Scientist to turn complex data into practical solutions ... R, Python, GitHub. * Team spirit: Strong enthusiasm for collaborative teamwork. * Problem-solving:

Scientific Games: Scientific Games is the global leader in lottery games, sports betting and ... Strong Python proficiency across pandas, scikit-learn, PyTorch, and TensorFlow * Deep expertise in ...

New

A career as a Senior Data scientist in the models, Technology and Transformation team at National ... Proficiency in SAS, SAS Viya, SQL and Python and good knowledge of the Power BI tool. * Experience ...

This role brings data science into day-to-day product engineering, from instrumentation and ... Experience with Python or R for statistical analysis and data processing. * Hands-on experience ...

We are seeking a Senior Machine Learning (ML) Research Scientist to join our team working on a ... Strong experience in Python software development, in the use of version control, collaboration ...

Senior Data Scientist Montréal, Canada The Sr. Data Scientist will conduct detailed analysis of ... Jupyter, Databricks, and familiarity with SQL, Python (including standard DS libraries like Pandas ...

Lead cross-functional collaboration with data scientists, engineers, IT partners, and business ... Proficient in Python, PySpark, SQL, Power BI, and Databricks (or similar platforms) for data ...

next page

Showing results 1-20

Scientist Python information

How do Scientist Python roles typically collaborate with other team members during research and development projects?

Scientist Python professionals frequently work in multidisciplinary teams, collaborating closely with data scientists, domain experts, and software engineers. They are often responsible for developing and implementing Python-based models or algorithms, then integrating their work with broader research goals or product pipelines. Regular communication, code reviews, and shared documentation are common practices to ensure alignment and reproducibility. This collaborative environment offers opportunities to learn from peers and contribute to diverse projects, fostering both technical and professional growth.

What does a Scientist Python do?

A Scientist Python, often referred to as a Python Scientist or Data Scientist specializing in Python, uses the Python programming language to analyze data, build predictive models, and solve scientific or business problems. They work with large datasets, apply statistical and machine learning techniques, and create visualizations to interpret results. Their work often involves writing code to clean, manipulate, and analyze data efficiently. Python's extensive libraries, such as Pandas, NumPy, and SciPy, make it a popular choice for scientific computing and data science tasks.

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

To thrive as a Scientist Python, you need strong programming skills in Python, a solid background in scientific methods or data analysis, and typically an advanced degree in a relevant field such as computer science, physics, or biology. Experience with data analysis libraries (e.g., NumPy, pandas, SciPy), machine learning frameworks (e.g., scikit-learn, TensorFlow), and version control systems is commonly required. Critical thinking, effective communication, and problem-solving abilities help distinguish top performers in this role. These skills enable efficient data-driven research, reproducible scientific workflows, and successful collaboration in multidisciplinary environments.

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

AspectScientist PythonData Analyst Python
Required CredentialsBachelor's or Master's in Science, Data Science, or related fields; Python proficiencyBachelor's in Statistics, Data Analysis, or related fields; Python skills
Work EnvironmentResearch labs, R&D departments, tech companiesBusiness intelligence teams, marketing, finance departments
Employer & Industry UsageResearch institutions, tech firms, healthcareCorporate, finance, retail, marketing
Common Search & ComparisonYesYes

Scientist Python and Data Analyst Python roles share similar skills like Python programming and data handling. However, Scientists typically focus on research, experimentation, and developing new models, often working in research-heavy environments. Data Analysts concentrate on interpreting existing data to inform business decisions, working mainly in corporate settings. Both roles require strong analytical skills and Python expertise, but their focus and work environments differ significantly.

What are popular job titles related to Scientist Python jobs in Montreal, QC? For Scientist Python jobs in Montreal, QC, the most frequently searched job titles are:
Infographic showing various Scientist Python job openings in Montreal, QC as of July 2026, with employment types broken down into 1% Internship, 91% Full Time, 4% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Other

Posted 11 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