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

Advanced hands-on experience with the Python data science stack. * Owning the full Data Science life cycle from ideation to production. * Strong understanding of quantitative approaches, their ...

Location: Montreal, Quebec - Onsite Work Required We are looking for a Python/Data Software ... Bachelor's or Master's degree in Computer Science, Data Engineering, or a related discipline.

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 ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

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 ...

Data Scientist

Montreal, QC · Hybrid

CA$80K - CA$90K/yr

Strong data science and statistical analytics skills. * Strong in problem-solving with innovative mindset * Strong Python development skills * Good communication skills Nice-to-have: It would be ...

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 ...

Strong data science and statistical analytics skills. * Strong in problem-solving with innovative mindset. * Strong Python development skills. We invite you to stay connected with us by subscribing ...

Strong expertise in Python, R, SQL, and data visualization tools (Tableau, Looker, Power BI ... Degree in Data Science, Statistics, Computer Science, Economics, or a related field. Why Join Us?

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 ...

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 ...

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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.

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.

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.

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:
Infographic showing various Python Data Science job openings in Montreal, QC as of May 2026, with employment types broken down into 67% Full Time, 26% Part Time, 1% Temporary, and 6% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.
Data Scientist

Data Scientist

Cogeco

Montreal, QC • On-site

Full-time

Posted 3 days ago


Job description

Our culture lifts you up-there is no ego in the way. Our common purpose? We all want to win for our customers. We aim to always be evolving, dynamic, and ambitious. We believe in the power of genuine connections. Each employee is a part of what makes us unique on the market: agile and dedicated.

Time Type:RegularJob Description :

The incumbent can be based out of Montreal, QC, Trois-Rivieres, QC, or Burlington, ON.

Position Summary:

We are looking for a skilled and motivated Data Scientist to join Cogeco's Data Science and Analytics practice. In this role, you will play a key part in developing and implementing data models and strategies to improve customer acquisition, retention, and overall business performance. You will work closely with cross-functional teams to identify opportunities, develop advanced analytics, and deploy machine learning models that directly impact commercial growth and customer experience.

The Data Scientist applies expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design, prototype and build next generation advanced analytics engines and services. The data scientist collaborates with business partners to define the technical problem statement and hypothesis to test; develops efficient and accurate analytical models that inform business decisions, and incorporates them into analytical data products or tools with the support of a cross-functional team.

Responsibilities:

  • As a Data Scientist at Cogeco, you will develop predictive modeling and machine learning solutions to complex business problems creating value for the business.

  • Transform data into insights that help to improve the value of the business.

  • Execute exploratory data analysis, data preprocessing, model development, model deployment and monitoring.

  • Utilize machine learning techniques to improve customer segmentation, churn prediction, and personalized marketing efforts.

  • Plan and execute analytical experiments to help solve business problems.

  • Propose solutions and strategies to business challenges.

  • Continuously refine and improve models based on feedback and changing business needs.

  • Leverage advanced analytics techniques to develop deep knowledge of the customer experience, use data and analytics to optimize marketing campaigns, and develop strategies through insights to attract new customers and retain existing ones.

  • Collaborate with business partners to develop novel ways to meet objectives utilizing cutting edge techniques and tools.

  • 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 "how and why" of solving problems.

  • Lead analytic approaches, integrating work into applications and tools with data engineers, business leads, analysts and developers.

  • Create repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products.

  • Engineer features by using your business acumen to find new ways to combine disparate internal and external data sources.

  • Build and deploy agentic AI solutions that leverage autonomous reasoning and tool-calling to automate end-to-end workflows and improve decision-making efficiency.

  • Share your passion for Data Science with broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.

  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Qualifications:

  • Bachelor's degree required.

  • Graduate degree in quantitative discipline and demonstrated Data Science skill set, plus 2 years work experience.

  • Proficiency writing complex SQL queries.

  • Advanced hands-on experience with the Python data science stack.

  • Owning the full Data Science life cycle from ideation to production.

  • Strong understanding of quantitative approaches, their benefits, and their limitations.

  • Analytical ability required to gather data, perform transformation, perform complex analysis, solve both business and technical problems.

  • Proficiency with data mining, mathematics, and statistical analysis.

  • Experience in pattern recognition and predictive modeling.

  • Experience with cloud platforms like Google Cloud, AWS, or Azure.

  • Excellent interpersonal, communication, listening, and presentation skills.

  • Excellent problem-solving skills and the ability to work independently as well as in a team.

  • Fluent in English and French (spoken and written) required to collaborate with stakeholders in Quebec, Ontario, and across the United States.

  • Must have proficiency with Machine Learning to solve clustering, classification, regression, anomaly detection, simulation and optimization problems on large scale data sets.

  • Experience with data visualization tools preferred - Tableau, PowerBI, Looker, Plotly, etc.

Agile/Digital Experience:

  • Openness to working in Agile environments with multiple stakeholders.

  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.

About You:

  • Bias for action, with ability to deliver outstanding results through task prioritization and time management.

  • Demonstrated ability to efficiently learn and solve new business domains and problems.

  • Number sense; healthy skepticism around validity of data and its inherent biases.

  • Intellectual curiosity to understand and answer questions.

  • Intellectual humility to leverage the expertise of others.

You'll benefit from:

  • Flexibility: Yes, we think that what you do matters. At work and at home.

  • Fun: We laugh a lot, it makes every day brighter.

  • Discounted services: We provide amazing services to our clients, and you'll get them at home, because you deserve them.

  • Benefits: We've got you covered.

  • Career Evolution: Join us and we will give you the tools to achieve your career goals!

  • Technology: You have a passion for technology? Excellent, we do too. Here, you will manage, influence, play, create, fix, and shape the industry.

Location :Montreal, QCCompany :Cogeco Connexion Inc

At Cogeco, we know that different backgrounds, perspectives, and beliefs can bring critical value to our business. The strength of this diversity enhances our ability to imagine, innovate, and grow as a company. So, we are committed to doing everything in our power to create a more diverse and inclusive world of belonging.

By creating a culture where all our colleagues can bring their best selves to work, we're doing our part to build a more equitable workplace and world. From professional development to personal safety, Cogeco constantly strives to create an environment that welcomes and nurtures all. We make the health and well-being of our colleagues one of our highest priorities, for we know engaged and appreciated employees equate to a better overall experience for our customers.


If you need any accommodations to apply or as part of the recruitment process, please contact us confidentially at inclusion@cogeco.com