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Data Science Analyst Intern Jobs in Quebec (NOW HIRING)

Data Analyst

Montreal, QC ยท Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data Science & Analytics Manager Location: Montreal, QC (Hybrid) About Us Broadsign is a growing software company with a mission to make buying, selling, and delivering out-of-home media easier than ...

Analyzing new challenges and applying critical thinking to propose innovative software solutions ... Staying up to date with the latest advances in data science. THE SKILLS THAT WILL MAKE YOU AN ...

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 ...

Lead complex analytical, statistical, machine learning, and applied AI workstreams across multiple business areas, use cases, or stakeholder groups. * Define data science approaches that align ...

Data Scientist

Montreal, QC ยท On-site

  • Medical

  • Retirement

Open-source contributions or publications reflecting thought leadership in data science or AI * Experience mentoring junior data scientists or leading analytical initiatives ACKNOWLEDGING THE POWER ...

Senior Data Scientist

Montreal, QC ยท On-site

  • Medical

  • Retirement

This job allows you to have a positive impact on our organisation thanks to your expertise in data science, analytical skills and mastery of visualisation and programming tools. Your job * Develop ...

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 II

Quebec, QC ยท On-site

  • Life

  • Retirement

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 ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

... Science utilizing R (purrr, tidyr, dplyr, tibble, & the tidyverse) * Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL, MySQL, etc.) and non ...

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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:

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.

Software Development & Data Science Analyst (12 Month contract)

Mitsubishi Heavy Industries Group

Boisbriand, QC โ€ข On-site

Contractor

Re-posted 29 days ago


Job description

MHIRJ (MHI RJ Aviation Group) is the fusion of two powerful legacies: Mitsubishi Heavy Industries (MHI) and the CRJ Series program. Headquartered in Boisbriand, Quebec, MHIRJ delivers comprehensive operational, engineering, and customer support solutions to the global regional aircraft industry. Our services include maintenance, refurbishment, technical publications, marketing, and sales activities.

With a strong Aerospace Engineering Center and a network of service centers, support offices, and parts depots across the world, we're positioned to support our global customers wherever they fly.

From day one, you will work to provide insights and intelligent decision-making across functions and contribute to the delivery of real projects using the latest technology to solve business problems. You will receive one-on-one and group training and coaching from a team of talented experts and take on complex challenges in a rewarding environment.

The Sales & Operations Planning & Product Performance Team's main objective rests with leveraging data and analytical techniques to guide business decisions with primary focus on the health of the company's P&L. The team is divided between the Analytics and the Development team where you will get to work on various activities between both teams. The position is a direct source for providing insight to help enhance the fidelity of commercial decision making for the CRJ Aftermarket and help digitize that effort by developing Online tools & dashboards to deliver recommendations.

Your tasks will include:

Software Development & Data Science:

  • Experience working with AI models and demonstrated ability with AI projects in the past or as projects on GitHub
  • Ability to optimize code and identify bottlenecks with different solutions
  • Identify data elements and ensure a high level of data quality and accurate reporting.
  • Utilize tools such as PowerPoint, Excel, Power BI, and Python to perform the analysis and communicate findings
  • Develop automated reports and scripts with defined steps and methodology, allowing frequent and streamlined updates

Development:

  • Ability to understand and follow Agile development methodology
  • Ability to work with multiple data source files (pdfs, .sgml , .json , .docx. and more) to extract and manipulate data
  • Develop query methodology to answer questions about ambiguous data for example answering irregularities in data and where gaps exist
  • Create data tools/scripts for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
  • Optimizing algorithms to work in constrained environments

You will develop the following skills:

  • Extensive hands-on experience with solving all the main types of analytics: Descriptive, Diagnostic, Predictive, and Prescriptive
  • A suite of tools to perform analysis, develop and maintain web applications, and directly ameliorate the company's P&L performance
  • Working knowledge of aviation related data; spare parts, airline operations, industry news, inventory and forecasting, demand planning, and more

The skills you bring:

  • Your proven curiosity and adaptability
  • Have 1-3 years of experience with an undergraduate degree in Engineering, Mathematics, Computer Science, or related field
  • Have an analytical mindset
  • Excellent verbal and written communication skills
  • Proficient in Microsoft Excel Pivot Tables & Advanced Formulas, PowerPoint
  • Experience in qualitative and quantitative evaluation methods
  • General programming proficiency, with an emphasis on Python and SQL, and tools such as Git.
  • Knowledge of Polars/Pandas, Playwright and Pyautogui
  • Experience with cloud technologies like Azure and Databricks is an added plus
  • Experience with profiling technologies like Pyinstrument or other profiling methods is an added plus
  • High organizational skills and a team player able to work with variable departments.

Additional details:

  • Position located at East Mississauga, Ontario- flexible working schedule with expectation to be physically working at the office when required (subject to change)