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Data Science Intern Jobs in Quebec (NOW HIRING)

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 experimentation through advanced analytics and machine learning. You will work on complex, high-scale ...

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data science, analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ...

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data science, analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ...

Data Scientist Location: Onsite - Montreal Who we are: Valnet looking for a Data Scientist to join our Tech team. In this role, you will design and deploy AI systems that improve how a large-scale ...

As an Intern, you will be responsible to provides clerical support to our claim's advisors ... Managing Lloyds and MUNI checks, entering data, scanning, and preparing items for mailing. Our ...

The Data Scientist II, Branch Analytics will design, build, and deploy advanced analytics solutions ... science). * Graduate degree preferred or progressive project work experience. * 3+ years of ...

New

The intern will work closely with Operations, Quality, and IT stakeholders to improve process ... Computer Science, Information Technology, Data Analytics, Industrial Engineering, or a related ...

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 ...

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Data Science Intern information

See Quebec salary details

$10

$33

$87

How much do data science intern jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data science intern in Quebec is $33.69, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $39.90 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Science Intern, and how will I collaborate with other team members?

As a Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, building predictive models, or assisting with data visualization tasks. You'll often collaborate closely with data scientists, engineers, and sometimes business analysts, participating in team meetings and brainstorming sessions. Interns are usually given clearly defined tasks that contribute to larger projects, allowing you to learn from experienced professionals while making a meaningful impact. Regular check-ins and mentorship are typical, providing you with feedback and professional growth opportunities throughout your internship.

What does a Data Science Intern do?

A Data Science Intern typically assists with collecting, cleaning, and analyzing data to support business decisions or research. They work under the supervision of experienced data scientists, helping to build and test predictive models, create data visualizations, and present findings. Interns often use programming languages such as Python or R, and tools like SQL, to manipulate data. The role is designed to provide hands-on experience with real-world data science projects and help interns develop technical and analytical skills.

What are the key skills and qualifications needed to thrive as a Data Science Intern, and why are they important?

To thrive as a Data Science Intern, you need a solid grasp of statistics, data analysis, and programming (often in Python or R), typically supported by coursework in computer science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau), machine learning libraries (such as scikit-learn or TensorFlow), and version control systems (like Git) is commonly expected. Strong problem-solving abilities, communication skills, and a willingness to learn help interns collaborate effectively and translate data insights for diverse audiences. These skills and qualities ensure that interns can contribute meaningfully to projects, adapt quickly, and bridge the gap between raw data and actionable business solutions.
What are the most commonly searched types of Data Science jobs in Quebec? The most popular types of Data Science jobs in Quebec are:
What are popular job titles related to Data Science Intern jobs in Quebec? For Data Science Intern jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Data Science Intern jobs in Quebec look for? The top searched job categories for Data Science Intern jobs in Quebec are:
What cities in Quebec are hiring for Data Science Intern jobs? Cities in Quebec with the most Data Science Intern job openings:
Principal Data Scientist

Principal Data Scientist

Autodesk

Montreal, QC • On-site

CA$129K - CA$189K/yr

Full-time

Re-posted 17 days ago


Autodesk rating

9.5

Company rating: 9.5 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

6th of 209 rated software companies


Job description

Job Requisition ID #

26WD96264

Autodesk is advancing flagship products such as AutoCAD, Revit, and Forma with cloud-native architecture, scalable data, AI-driven capabilities, and high-fidelity visualization. Visualization Solutions sits at the center of that shift, delivering consistent, modern graphics and interaction across web, mobile, and desktop.

We are seeking a Principal Data Scientist to partner with multidisciplinary Visualization Solutions teams to define and evolve product analytics and applied AI practices. This role brings data science into day-to-day product engineering, from instrumentation and experimentation through advanced analytics and machine learning. You will work on complex, high-scale problems and turn product and platform data into systems and insights that directly shape visualization performance, adoption, and customer experience.

This role reports to the Director, Experience Design, IGS Visualization Solutions.

Responsibilities

  • Drive business and product planning through insights on product usage, adoption, feature utilization, performance, and reliability.
  • Design and implement robust data models and schemas aligned to product and platform needs.
  • Audit existing product, platform, and data systems for completeness and accuracy, and strengthen instrumentation to enable reliable, decision-ready analytics.
  • Build and optimize scalable data pipelines and architectures, including cloud-based ETL processes and large-scale data structures for analytics and machine learning.
  • Develop processes to ingest, transform, and distribute data into internal systems and applications.
  • Partner with engineering and platform teams to[DD1]identify and resolve data quality issues.
  • Create dashboards, analyses, and experimentation frameworks that translate raw data into clear recommendations.
  • Provide rigorous ad hoc analysis to support strategic and operational decisions.
  • Communicate findings clearly to cross-functional stakeholders and senior leaders.

Minimum Qualifications

  • Bachelor's or advanced degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or related field.
  • Significant experience in data science, advanced analytics, or business analytics roles.
  • Strong expertise in SQL and working with complex, large-scale datasets across multiple sources.
  • Proficiency with analytics and BI tools such as Looker, Tableau, Splunk, Mixpanel, or similar platforms.
  • Experience with Python or R for statistical analysis and data processing.
  • Hands-on experience with big data and cloud-based data environments such as AWS, Redshift, Snowflake, BigQuery, Spark, or similar technologies.
  • Strong systems thinking / Experience building analytics foundations in complex environments.
  • Ability to collect, structure, analyze, and interpret large volumes of data with accuracy and attention to detail.
  • Strong written and verbal communication skills, with the ability to present complex ideas in a clear, actionable way.

Preferred Qualifications

  • Experience in data mining, large-scale analytics, or machine learning in production environments.
  • Experience applying AI or advanced analytics to 3D data, graphics systems, simulation outputs, or complex design and engineering workflows.
  • Experience supporting real-time or interactive applications with data-driven systems.
  • Proven ability to frame ambiguous problems, generate insight, and establish a clear point of view that influences direction.
  • Strong systems thinking / Experience building analytics foundations in complex environments.

Learn More

About Autodesk

Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.

We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.

When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!

Salary transparency

Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $129,000 and $189,200. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/global-belonging

Are you an existing contractor or consultant with Autodesk?

Please search for open jobs and apply internally (not on this external site).


What Autodesk employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Autodesk logo

About Autodesk

Sourced by ZipRecruiter

Autodesk is changing how the world is designed and made. Our technology spans architecture, engineering, construction, product design, manufacturing, media, and entertainment, empowering innovators everywhere to solve challenges big and small. From greener buildings to smarter products to more mesmerizing blockbusters, Autodesk software helps our customers to design and make a better world for all. For more information visit autodesk.com or follow @autodesk.

Industry

Software development

Company size

10,000+ Employees

Headquarters location

San Rafael, CA, US

Year founded

1982