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Python Data Science Jobs in Montreal, QC (NOW HIRING)

Use data science techniques to find data patterns, anomalies, and optimization opportunities ... Jupyter, Databricks, and familiarity with SQL, Python (including standard DS libraries like Pandas ...

Model-quality and analytics tooling - the data-science team's own model-performance, PSI / drift and category-distribution monitoring for the models it owns. Our stack * Python and SQL * Google Cloud ...

Expert-level proficiency in Python and/or R; you write clean, maintainable, production-quality code ... data science thinking on the planet - while building something meaningful right here in Canada. You ...

Principal Data Scientist

Montreal, QC · On-site

CA$129K - CA$189K/yr

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 ...

Keep up with the latest trends and methodologies in data science and incorporate them into your ... Python and GitHub. * Machine Learning Expertise: Deep understanding of machine learning theories ...

Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing ... You should be comfortable coding in Python and have experience with Snowflake and AWS platforms.

If you have experience with data engineering, data science, ML engineering, and data platforms, working in a Python, SQL, and Databricks-first environment, we would love to hear from you! Zurich ...

Data Scientist II

Montreal, QC · On-site

CA$81K - CA$115K/yr

Develop scalable analytics solutions using Python, SQL, PySpark and PowerBI within cloud ... science). * Graduate degree preferred or progressive project work experience. * 3+ years of ...

Partner across data science, backend and product on the producer to consumer contract (models ... Python, SQL, Bash * Google Cloud Platform (GCP) * BigQuery and dbt * Airflow (Cloud Composer), Pub ...

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Python Data Science information

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
What are popular job titles related to Python Data Science jobs in Montreal, QC? For Python Data Science jobs in Montreal, QC, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Montreal, QC look for? The top searched job categories for Python Data Science jobs in Montreal, QC are:

Financial Crime Data Scientist

Desjardins Group

Montreal, QC • Hybrid

Full-time

Medical, Retirement, PTO

Posted 22 days ago


Job description

The Financial Crime Analytics Department plays a strategic role in financial crime prevention (FCP). We develop and refine advanced analytics models that can detect suspicious activities. We work at the heart of the FCP ecosystem, in close collaboration with the second line of defence, operations and IT teams, to ensure the performance, compliance and ongoing evolution of the monitoring system. In a context of technological transformation (progressive adoption of GenAI, Azure, Databricks), our team is also continuing to evolve its analytical capabilities by focusing on advanced modelling, optimization and industrialization approaches. As a financial crime analytics data scientist, you will play a key role in the evolution and sustainable performance of the analytics system. You will contribute to the design, continuous improvement and governance of detection models, with a focus on long-term quality, robustness and performance. More specifically, you will be required to:

  • Design, calibrate and refine advanced financial crime analytics models by contributing to improvements in the monitoring system.
  • Contribute to the FCP analytical strategy and ensure the performance, robustness and compliance of models.
  • Ensure documentation, governance and compliance of models.
  • Serve as an expert with partners to explain methodologies, recommend solutions and support decision making.
  • Participate in the modernization and industrialization of the analytics ecosystem.
  • Monitor trends in analytics and integrate best practices and innovations.
  • Collaborate with IT, operations and compliance teams to ensure overall consistency of the FCP sys

What we offer*

  • Competitive salary and annual bonus
  • 4 weeks of flexible vacation starting in the first year
  • Defined benefit pension plan that provides predictable, stable income throughout retirement
  • Group insurance including telemedicine
  • Reimbursement of health and wellness expenses and telework equipment

* Benefits apply based on eligibility criteria.

#LI-Hybrid


What you bring to the table

  • Bachelor's degree in data science, statistics, computer science, mathematics or a related field
  • A minimum of six years of relevant data modelling or data science experience
  • Please note that other combinations of qualifications and relevant experience may be considered
  • Financial crime certification (CAMS, CFCS)
  • Experience with Azure/Databricks and interest in approaches that include generative AI
  • Experience in an influential role and experience structuring a long-term analytical vision
  • Knowledge of French is required
  • Intermediate knowledge of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
  • In-depth expertise in data science (ML, statistics) and understanding of model limitations
  • Proficiency in Python, Spark and model development and industrialization practices (Git, MLflow, MLOps)
  • Ability to explain complex concepts in plain language
  • Knowledge of financial crime regulatory frameworks (FINTRAC, FATF)

Differences, Drive results, Interpersonal Savvy, Plans and aligns, Resourcefulness, Strategic mindset

Trade Union (If applicable)

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Job Family

Data (FG)

Unposting Date

2026-07-15