ZipRecruiter

Log In

1

Data Science Analyst Intern Jobs in Quebec (NOW HIRING)

National Bank

Senior data scientist

Montreal, QC · On-site

  • Medical

  • Retirement

Bachelor's degree or master's degree (in statistics, data science, mathematics, computer science or a related field) and 4 to 6 years of relevant experience * Experience in analytics and using large ...

National Bank

Senior data scientist

Laval, QC · On-site +1

  • Medical

  • Retirement

Bachelor's degree or master's degree (in statistics, data science, mathematics, computer science or a related field) and 4 to 6 years of relevant experience * Experience in analytics and using large ...

National Bank

Senior data scientist

Longueuil, QC · On-site +1

  • Medical

  • Retirement

Bachelor's degree or master's degree (in statistics, data science, mathematics, computer science or a related field) and 4 to 6 years of relevant experience * Experience in analytics and using large ...

SYSTRA

Develop financial analyses and key performance indicators (KPIs) for PMO leadership and project ... Bachelor's degree in data science, engineering, computer science, statistics, or a related field.

National Bank

Senior AI Data Scientist

Montreal, QC

  • Medical

  • Retirement

... science, model evaluation and continuous improvement. You contribute directly to the quality ... Analyze production results and identify the causes of problems in order to propose concrete ...

National Bank

Senior AI Data Scientist

Laval, QC

  • Medical

  • Retirement

... science, model evaluation and continuous improvement. You contribute directly to the quality ... Analyze production results and identify the causes of problems in order to propose concrete ...

National Bank

Senior AI Data Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

... science, model evaluation and continuous improvement. You contribute directly to the quality ... Analyze production results and identify the causes of problems in order to propose concrete ...

National Bank

Senior AI Data Scientist

Longueuil, QC

  • Medical

  • Retirement

... science, model evaluation and continuous improvement. You contribute directly to the quality ... Analyze production results and identify the causes of problems in order to propose concrete ...

SAP

SAP iXp Intern - AI Engineer

Montreal, QC

... analyzing automated tests and evaluation metrics for model quality, hallucinations, latency, and ... Master's student in Computer Science, Engineering, Data Science, Artificial Intelligence, or a ...

Posted today

GreenPeace

Data Analyst

Montreal, QC · On-site +1

CA$64K - CA$69K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Data Analyst Location: Anywhere in Canada (Hybrid and Remote) Reports to: Head of Insights and ... scientific research, introducing clean alternatives, carrying out peaceful acts of civil ...

Greenpeace

Data Analyst

Montreal, QC · On-site

CA$64K - CA$69K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Data Analyst Location: Anywhere in Canada (Hybrid and Remote) Reports to: Head of Insights and ... scientific research, introducing clean alternatives, carrying out peaceful acts of civil ...

previous page

Showing results 41-60

All JobsData Science Analyst Intern JobsData Science Analyst Intern Jobs in Quebec

Data Science Analyst Intern information

What does a data science analyst intern do?

A Data Science Analyst Intern assists with analyzing large datasets to uncover patterns, trends, and insights that support business decisions. They typically work alongside data scientists and analysts to clean, organize, and visualize data, as well as help build and test predictive models. Interns may also assist in preparing reports and presentations that communicate findings to stakeholders. This role provides hands-on experience with data analysis tools and techniques, and is a valuable stepping stone for a career in data science.

What are some typical projects or tasks that a data science analyst intern might work on during their internship?

As a Data Science Analyst Intern, you can expect to work on projects such as cleaning and analyzing large datasets, building and testing predictive models, and creating visualizations to communicate findings to stakeholders. Interns often collaborate closely with data scientists, engineers, and business analysts, gaining exposure to real-world data challenges and learning how to apply statistical and machine learning techniques. The role usually involves using tools like Python, R, and SQL, and you may also have opportunities to present your work to different teams, helping you develop both technical and communication skills.

What are the key skills and qualifications needed to thrive as a data science analyst intern, and why are they important?

To thrive as a Data Science Analyst Intern, you need a solid grasp of statistics, data analysis, and programming languages such as Python or R, typically supported by coursework or a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and version control systems (e.g., Git) is often required. Problem-solving ability, attention to detail, and strong communication skills help interns effectively interpret data and share insights with team members. These skills are crucial for transforming raw data into actionable business insights and supporting data-driven decision-making.

What is the difference between Data Science Analyst Intern vs Data Analyst Intern?

AspectData Science Analyst InternData Analyst Intern
Required SkillsBasic programming, statistical analysis, data visualizationData manipulation, Excel, basic SQL
Work EnvironmentTech companies, startups, research labsBusiness, finance, marketing sectors
Typical Duration3-6 months internship3-6 months internship

The Data Science Analyst Intern role focuses on applying statistical and programming skills to analyze complex data sets, often involving machine learning and predictive modeling. In contrast, Data Analyst Interns primarily handle data cleaning, reporting, and visualization to support business decisions. Both roles are entry-level, require similar foundational skills, and are common in tech and business industries. Understanding these differences helps candidates target their applications effectively.

What are popular job titles related to Data Science Analyst Intern jobs in Quebec?

For Data Science Analyst Intern jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Data Science Analyst Intern jobs in Quebec look for?

The top searched job categories for Data Science Analyst Intern jobs in Quebec are:

What cities in Quebec are hiring for Data Science Analyst Intern jobs?

Cities in Quebec with the most Data Science Analyst Intern job openings:

Data Science Analyst Intern jobs near you
Infographic showing various Data Science Analyst Intern job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Senior data scientist

National Bank

Montreal, QC • On-site

Full-time

Medical, Retirement

Re-posted 4 days ago

Job description

A career as a Senior Data scientist in the models, Technology and Transformation team at National Bank means serving as a modelling expert. Your analytical skills, multidisciplinary teamwork experience and modelling knowledge will have a positive impact on the experience of our partners and clients.

Your job:

  • Collaborate with various partners to deliver high-impact analytical initiatives.
  • Ensure proper needs analysis and stakeholder management related to these initiatives.
  • Configure, analyze, test, maintain, and optimize filtering models.
  • Ensure compliance with standards surrounding the model development process and model documentation.
  • Contribute to model governance activities and to the creation and evolution of processes related to filtering models.
  • Contribute to financial crime reporting or analysis activities.
     

Your team:

You are part of a team of 20 colleagues in the Compliance sector and will report to the Senior Manager - PCMLTF risk Management. Our team stands out for its expertise, spirit of collaboration and creativity, as well as its passion for fighting money laundering.

The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.

Prerequisites:

  • Bachelor's degree or master's degree (in statistics, data science, mathematics, computer science or a related field) and 4 to 6 years of relevant experience
  • Experience in analytics and using large volumes of data.
  • Proficiency in SAS, SAS Viya, SQL and Python and good knowledge of the Power BI tool.
  • Experience in audit and model validation
  • Experience in filtering or financial crime prevention (an asset)
Your benefits
In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:

* Health and wellness program, including many options
* Flexible group insurance
* Generous pension plan
* Employee Share Ownership Plan
* Employee and family assistance program
* Preferential banking services
* Involvement in community initiatives
* Telemedicine service
* Virtual sleep clinic

We have an offer that keeps up with trends as well as your needs and those of your family.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.

Making a bold move in a people-first environment
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?

Join us!

Apply