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Data Science Analyst Intern Jobs in Quebec (NOW HIRING)

This is a unique opportunity to apply advanced AI and data science techniques to solve complex ... You'll partner closely with AI Business Analysts, AI Engineers, Data Engineers, Architects and ...

... analytical layers. * Work with cloud and data platforms such as Databricks, SAP Datasphere, SAP HANA Cloud, AWS, Azure, or Google Cloud Platform to support reliable AI workflows. * Translate ...

Bachelor's degree in a quantitative field such as Data Science, Statistics, Mathematics, or a ... Proven analytical and problem-solving abilities, with the capability to work independently on ...

The ideal candidate is currently enrolled in, or holds, a bachelor's degree in Finance, Statistics, Data Science, Mathematics, or a related field. The analyst will support data collection and ...

As an Actuarial Intern , you will play a key role in analysis, problem-solving, and supporting ... Data Science, Analytics and Artificial Intelligence Apply your programming, advanced analytics, and ...

As an Actuarial Intern , you will play a key role in analysis, problem-solving, and supporting ... Data Science, Analytics and Artificial Intelligence Apply your programming, advanced analytics, and ...

As an Actuarial Intern , you will play a key role in analysis, problem-solving, and supporting ... Data Science, Analytics and Artificial Intelligence Apply your programming, advanced analytics, and ...

Showing results 41-60

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.

Senior AI & Data Scientist

Montreal, QC • Hybrid

Alcoa
Manufacturing • 10K+ employees

Full-time

Posted 7 days ago


Alcoa rating

8.0

Company rating: 8.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz


Job description

Shape Your World

At Alcoa, you will become an essential part of our purpose: to turn raw potential into real progress. The way we see it, every Alcoan is a work-shaper, team-shaper, idea-shaper & world-shaper.

This is your opportunity to help shape the future of sustainability with world-changing innovations and low-carbon technologies. Become a valued part of the team that's shaping the future of aluminium, revolutionising the way the world lives, builds, moves and flies. Be part of it and shape your world.

About the Role

We're looking for a Senior AI & Data Scientist to join our global Enterprise AI & Insight Team within ITAS, reporting to the AI Technical Lead. This is a unique opportunity to apply advanced AI and data science techniques to solve complex business challenges across Alcoa's Operations and Enterprise functions while helping shape the future of AI capability across the organization.

As a senior hands-on practitioner, you'll work across the full AI solution lifecycle, from data exploration and experimentation through to model development, deployment and continuous improvement. You'll partner closely with AI Business Analysts, AI Engineers, Data Engineers, Architects and business stakeholders to deliver trusted, scalable and impactful AI solutions that create measurable business value.

In addition to delivering solutions, you'll provide technical leadership on assigned initiatives, mentor other practitioners and contribute to the development of best practices that strengthen Alcoa's AI capability globally.

Key Responsibilities

  • Lead the design, development and delivery of AI solutions across Operations and Enterprise functions.

  • Translate complex business requirements into scalable AI and advanced analytics solutions that generate measurable value.

  • Develop, validate and deploy statistical, machine learning and generative AI solutions, including predictive, RAG and agentic AI use cases.

  • Apply rigorous experimentation, model evaluation and data analysis to drive informed decision-making.

  • Lead a small team of data scientists, providing technical leadership, mentorship and quality oversight across assigned initiatives.

  • Partner with business stakeholders, AI Engineers and Data Engineers to deliver trusted, maintainable and responsible AI solutions.

What's on offer

  • Attractive remuneration and variable bonus plan.

  • Flexible hybrid working options available.

  • Employee growth and development opportunities.

What you can bring to the role

  • Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering or a related discipline (PhD highly regarded).

  • Extensive experience delivering end-to-end AI and data science solutions that generate measurable business outcomes.

  • Deep expertise in statistical modelling, machine learning, experimental design and model validation.

  • Experience developing and evaluating generative AI solutions, including RAG, agentic AI and associated evaluation frameworks.

  • Strong programming and analytical skills, with experience working with complex data and translating business challenges into scalable solutions.

  • Demonstrated technical leadership, mentoring capability and experience working in complex industrial or asset-intensive environments.

  • A flexible work approach to support global business priorities including participating in virtual meetings across various time zones and regions.

Additional information

  • Interviews may progress prior to the closing date, although all applications will be considered.

  • You will only be contacted if you are shortlisted for an interview, this process can take up to four weeks from the closing date.

Be part of shaping our organisation and join us in building a legacy of excellence for future generations.

#AlcoaAUS

#LI-JR1

#LI-Hybrid

About the Location

Alcoa is an international company with multiple locations and joint ventures across six continents. Wherever you choose to join us, you'll be joining a global team committed to advancing sustainability and delivering excellence and innovation. As industry pioneers, we are redefining what it means to be a sustainable aluminum company, bridging the journey from mines to metal.

We are values led, vision driven and united by our purpose of transforming raw potential into real progress. Our commitments to Inclusion, Diversity & Equity include providing trusting workplaces that are safe, respectful and inclusive of all individuals, free from discrimination, bullying and harassment and that our workplaces reflect the diversity of the communities in which we operate.

As a proud equal opportunity workplace and affirmative action employer, Alcoa is dedicated to providing equal opportunities and equal access to all individuals regardless of a person's gender, age, race, ethnicity, sexual orientation, gender identity, religion, nation of origin, disability, veteran status, language spoken or any other characteristic or status protected by the laws or regulations in the places where we operate.

If you have visited our website in search of information on U.S. employment opportunities or to apply for a position, and you require an accommodation, please contact Alcoa Recruiting via email at gssrecruiting@alcoa.com.

This is a place where you are empowered to do your best work, be your authentic self, and feel a true sense of belonging. Come join us and shape your career!

Your work. Your world. Shape them for the better.


What Alcoa employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Alcoa

Sourced by ZipRecruiter

Alcoa is a global industry leader in the production of bauxite, alumina and aluminum, a position enhanced by a portfolio of value-added cast products and select energy assets. Since developing the aluminum industry more than 135 years ago, Alcoa has built a legacy of breakthrough innovations and best practices that have led to efficiency, safety, sustainability and stronger communities wherever we operate.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Pittsburgh, PA, US

Year founded

1888

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