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

Contribute to the evolution of distributed architectures and data pipelines using DataIQ ... Bachelor's degree in computer science, software engineering or a related field ; * Minimum of 5 ...

... scientists, data engineers, and digital experts are all dedicated to bringing extra value to every ... Python, R, SQL * Tool * * Cloud databases * Amazon Redshift, Microsoft Azure, Google BigQuery ...

Strong expertise in Python and experience with data science libraries (e.g., Scikit-learn, Pandas, Numpy) * Solid background in machine learning algorithms, including regression, classification ...

A career as a Senior Data scientist on the risk Management team at National Bank means acting as a ... Proficient SAS Base, SAS EG, Python, Matlab, R Your benefits In addition to competitive ...

Automate manual tasks using scripting languages (e.g., Bash, Python) and Enterprise scheduling ... Education & Experience Bachelor's degree in Information Technology, Computer Science, or a related ...

... Python, PHP, Vue.JS, AWS). * Bachelor's or advanced degree in computer science, mathematics, or ... Expertise in dimensional data modeling and semantic layer design. * Strong collaboration ...

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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:
Senior Full stack AI Developer (Python & Angular/React)

Senior Full stack AI Developer (Python & Angular/React)

Intact Financial

Montreal, QC

Full-time

Life, Retirement

Re-posted 23 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're looking for a Senior Full stack AI Developer (Python & Angular/React) to join our growing team!
What you'll do here:

  • Integrate AI solutions tailored to improve the business' operational processes using technologies like FastAPI, ensuring robustness, performance, scalability, reliability, and observability.
  • Ensure seamless integration of AI-driven solutions with existing insurance operations systems, coordinating closely with IT, operations, and data science teams to align on technical requirements and deployment strategies.
  • Work closely with data scientists and analysts to ensure AI solutions are effectively addressing business needs by leveraging high-quality data and aligning with strategic goals.
  • Stay up to date with advancements in Software Engineering and AI, applying new techniques and methodologies, including the use of Angular/React for front-end development, to enhance the capabilities and efficiency of deployed solutions while also contributing to the team's knowledge base.
  • Own end-to-end delivery of features, including data pipelines, models, APIs/services, and front-end UI.
  • Use CI/CD tools and agile methodology to ensure fast and reliable delivery of features and updates.
  • Play a Technical Leader / Mentor role for Squad members and influence the technical roadmap.


What you bring to the table:

  • Bachelor's degree in computer engineering, computer science, or any combination of equivalent education and experience.
  • Minimum 6 years of significant experience in development.
  • Strong in Python for backend development and proficient in front-end frameworks like Angular or React.
  • Experience in backend development using FastAPI and proficiency in SQL.
  • Proficient in AI-assisted coding, including tools like GitHub Copilot, Claude Code, and Kiro.
  • Experience with automated testing on the backend and UI and familiarity with observability tools and practices.
  • Proficiency with Cloud Infrastructure (ideally AWS), including services like Amazon S3, Snowflake, and BigQuery, and containerization technologies like Docker and Kubernetes, IaC (Terraform), CI/CD, and observability.
  • Strong communication skills with the ability to translate business problems into technical solutions; proactive, change agent, and collaborative team player.
  • Strong experience in using Git for version control, code review, and collaboration.
  • Ability to make complex concepts easy to understand.
  • Strong data engineering skills. Hands-on experience with Databricks technologies like Unity Catalog and Delta Lake is considered an asset.
  • Good understanding of GenAI building blocks: prompting techniques, agentic frameworks, evals, guardrails, RAG, embeddings/vectorDBs, model fine-tuning, graphDB usage with LLMs, MCP, reasoning models.
  • Knowledge of MLOps best practices would be an asset.
  • For candidates located in Quebec, bilingualism (FR-EN) is required due to frequent collaboration with English-speaking colleagues across Canada.
  • No Canadian work experience required however must be eligible to work in Canada.

#LI-Hybrid

Il s'agit d'un nouveau role au sein de notre equipe en pleine 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