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

Keep abreast of the latest trends and methodologies in data science and integrate them into your ... R, Python, GitHub. * Team spirit: Strong enthusiasm for collaborative teamwork. * Problem-solving:

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.

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.

... in data science Proficiency in retail credit products and risk management Proficiency in ... or Python). Your benefits In addition to competitive compensation, upon hiring you'll be eligible ...

... data science * Proficiency in retail credit products and risk management * Proficiency in ... or Python). Your benefits In addition to competitive compensation, upon hiring you'll be eligible ...

... data science * Proficiency in retail credit products and risk management * Proficiency in ... or Python). Your benefits In addition to competitive compensation, upon hiring you'll be eligible ...

Familiarity with data science concepts and programming languages (Python, R) is an asset * Proficiency in BI tools (e.g., Tableau, Power BI, Looker) is an asset; * Excellent communication skills with ...

Familiarity with data science concepts and programming languages (Python, R) is an asset * Proficiency in BI tools (e.g., Tableau, Power BI, Looker) is an asset; * Excellent communication skills with ...

... data science concepts and programming languages (Python, R) is an asset Proficiency in BI tools (e.g., Tableau, Power BI, Looker) is an asset; Excellent communication skills with the ability to ...

Familiarity with data science concepts and programming languages (Python, R) is an asset * Proficiency in BI tools (e.g., Tableau, Power BI, Looker) is an asset; * Excellent communication skills with ...

Integrate data governance and data science tools with the Snowflake ecosystem. * Support the ... Write efficient SQL and Python scripts for large-dataset analysis and end-to-end automation on a ...

... strong Python, SQL, and data pipeline engineering capabilities. This role will support both AI ... Collaborate with data scientists, applied AI engineers, platform engineers, security, data ...

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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.

Senior Data Scientist

Intact Financial

Montreal, QC • Hybrid

Full-time

Life, Retirement

Posted 2 days ago


Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

118,700 - 145,100

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

12%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

We are currently seeking a Principal Data Scientist to join the LAB family.

What you'll do here:

  • Develop innovative solutions: Use machine learning and advanced statistical methods to identify trends and patterns in complex datasets.

  • Data transformation: Turn complex databases into actionable insights and recommendations that can guide business strategy.

  • Stay up to date: Keep abreast of the latest trends and methodologies in data science and integrate them into your work.

  • Tool and platform maintenance: Help maintain and improve our data mining tools and platforms to ensure their efficiency and reliability.

  • Actionable recommendations: Provide strategic recommendations based on data analysis to support decision-making processes.

  • Cross-functional collaboration: Work closely with other departments to promote the adoption of data-driven decision-making across the organization.

  • Quality assurance and mentoring: Validate the quality of analytical approaches and deliverables produced by the team to ensure high standards, while coaching less experienced members.

  • Technical leadership: Take on a technical leadership role, guiding the team on best practices in data science and identifying research and development opportunities.

What you bring to the table:

  • A master's degree in a relevant field (mathematics, science, engineering, operations research, economics, statistics, AI, computer science, or a related discipline), or an equivalent combination of education and experience.

  • At least 5 years of experience in data science, machine learning, and advanced statistics applied to solving business problems.

  • Machine learning expertise: Expert-level understanding of machine learning theories and methodologies.

  • Specialization: Expertise in one or more areas such as computer vision, natural language processing, or artificial intelligence.

  • Technical skills: Experience delivering to production across multiple platforms using the following commercial and open-source data mining frameworks and tools: R, Python, GitHub.

  • Team spirit: Strong enthusiasm for collaborative teamwork.

  • Problem-solving: Ability to tackle loosely defined problems with creative and innovative solutions.

  • Communication skills: Excellent written and verbal communication skills, with the ability to convey complex information to non-technical stakeholders.

  • Time management: Strong organizational and time-management skills to handle multiple projects and meet deadlines.

  • Bilingual (French and English): Need to interact on a regular basis with an English-speaking clientele and colleagues across the country.

  • No Canadian work experiencerequiredhowever must be eligible to work in Canada

#LI-Hybrid

Il s'agit d'un nouveau role au sein de notre equipe en plein croissance | This role is a new member of our growing team.


We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.

Employment Type: FULL_TIME