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)
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)
... science or a STEM field with courses in statistical analysis or other advanced data analysis disciplines. * Minimum 5 years of work experience in a business environment using Python, PySpark or Scala ...
... science or a STEM field with courses in statistical analysis or other advanced data analysis disciplines. * Minimum 5 years of work experience in a business environment using Python, PySpark or Scala ...
... science or a STEM field with courses in statistical analysis or other advanced data analysis disciplines. * Minimum 5 years of work experience in a business environment using Python, PySpark or Scala ...
... science or a STEM field with courses in statistical analysis or other advanced data analysis disciplines. * Minimum 5 years of work experience in a business environment using Python, PySpark or Scala ...
Expertise in data science (machine learning, statistics) and a good understanding of the limitations in an operational context * Proficiency in Python, analytical development practices (Git, MLflow ...
Expertise in data science (machine learning, statistics) and a good understanding of the limitations in an operational context * Proficiency in Python, analytical development practices (Git, MLflow ...
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 ...
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 ...
Senior Data Scientist
Montreal, QC · Remote
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 ...
Quick apply
Senior Data Scientist
Montreal, QC · Remote
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 ...
Senior Data Scientist
Montreal, QC · On-site
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 ...
Senior Data Scientist
Montreal, QC · On-site
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 ...
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 ...
Data Scientist II
Montreal, QC · On-site
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 Scientist II
Montreal, QC · On-site
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 Scientist II
Montreal, QC · On-site
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 Scientist II
Montreal, QC · On-site
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 Analyst
Montreal, QC · Hybrid
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.
Data Analyst
Montreal, QC · Hybrid
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.
Data Platform Lead
Montreal, QC · On-site
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 Platform Lead
Montreal, QC · On-site
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 ...
The responsibilities of this role fall outside "typical data science work". We therefore need a ... R, Python, GitHub. * Expert-level understanding of the underlying theory of machine learning.
The responsibilities of this role fall outside "typical data science work". We therefore need a ... R, Python, GitHub. * Expert-level understanding of the underlying theory of machine learning.
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 ...
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 ...
The responsibilities of this role fall outside "typical data science work". We therefore need a ... R, Python, GitHub. * Expert-level understanding of the underlying theory of machine learning.
The responsibilities of this role fall outside "typical data science work". We therefore need a ... R, Python, GitHub. * Expert-level understanding of the underlying theory of machine learning.
Senior Data Engineer
Montreal, QC · Remote
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 ...
Quick apply
Senior Data Engineer
Montreal, QC · Remote
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 ...
Share knowledge with interns, data scientist and other software developer to grow, as a team. What ... Proficiency in Python, REST/ GraphQL APIs, AWS (S3, Lambda, sagemaker or similar services)
Share knowledge with interns, data scientist and other software developer to grow, as a team. What ... Proficiency in Python, REST/ GraphQL APIs, AWS (S3, Lambda, sagemaker or similar services)
Share knowledge with interns, data scientist and other software developer to grow, as a team. What ... Proficiency in Python, REST/ GraphQL APIs, AWS (S3, Lambda, sagemaker or similar services)
Share knowledge with interns, data scientist and other software developer to grow, as a team. What ... Proficiency in Python, REST/ GraphQL APIs, AWS (S3, Lambda, sagemaker or similar services)
... or data science role (5-10 years for Senior ML Engineer) Deep knowledge and proven experience with optimizing machine learning model in a production context Experience with Python or Scala is ...
... or data science role (5-10 years for Senior ML Engineer) Deep knowledge and proven experience with optimizing machine learning model in a production context Experience with Python or Scala is ...
Work closely with data scientists and analysts to ensure AI solutions are effectively addressing ... Strong in Python for backend development and proficient in front-end frameworks like Angular or ...
Work closely with data scientists and analysts to ensure AI solutions are effectively addressing ... Strong in Python for backend development and proficient in front-end frameworks like Angular or ...
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?
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?
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?
Is Python a high paying job?
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