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Data Science Analyst Intern Jobs in Ontario (NOW HIRING)

You should be comfortable navigating ambiguity, solving complex analytical problems, and ... This is an exciting opportunity to work across multiple data science disciplines, including credit ...

CA$130K - CA$160K/yr

Askuity is a Toronto-based retail analytics software company operating as a division within The ... As a Manager, Data Science you will lead the development and integration of AI-enabled capabilities ...

Our AI-first platform transforms proprietary data, advanced analytics and deep financial services ... We are seeking a Manager, Delivery Data Science to lead the development, validation, and ...

... Science portfolio. This includes helping build the foundational data assets, profiling logic, analytical workflows, and machine learning approaches needed to better understand merchant behavior ...

An integral part of the Data and Analytics COE organization, the Data Science COE supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in ...

An integral part of the Data and Analytics COE organization, the Data Science COE supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in ...

An integral part of the Data and Analytics COE organization, the Data Science COE supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in ...

Data Science and Machine Learning * Translate business goals into analytical problems;Identifyoptimalalgorithms, statisticaltechniquesand/or GenAI architecture suitable for the business problem at ...

Data Science and Machine Learning * Translate business goals into analytical problems;Identifyoptimalalgorithms, statisticaltechniquesand/or GenAI architecture suitable for the business problem at ...

Showing results 21-40

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 Ontario? For Data Science Analyst Intern jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Data Science Analyst Intern jobs in Ontario look for? The top searched job categories for Data Science Analyst Intern jobs in Ontario are:
What cities in Ontario are hiring for Data Science Analyst Intern jobs? Cities in Ontario with the most Data Science Analyst Intern job openings:
Infographic showing various Data Science Analyst Intern job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Intern, Data Engineering (Fall 2026) 8 month OR 4 month

Forum Asset Management

Toronto, ON โ€ข On-site

Other

Posted 28 days ago


Job description

Salary:

Forum Asset Management Intern, Data Engineering (Fall 2026) 8-month OR 4-month


Location:In-Office, 181 Bay Street, Toronto


Work Schedule: Full-time, in-office (5 days/week) from September 2026


About Forum:


Delivering Extraordinary Outcomes through Investment.


Forum Asset Management is a North American investor, developer, and asset manager with a 29-year track record of delivering long-term value through real estate, private equity, and infrastructure investments. We are a purpose-driven firm committed to sustainability, responsible investing, and making a positive impact in the communities where we invest.


With over $3 billion in AUM, Forum is one of Canada's most dynamic investment platforms. In 2024, we completed the countrys largest real estate transaction through our acquisition of Alignvest Student Housing, making us the largest owner and developer of Purpose-Built Student Accommodation (PBSA) in Canada. Our open-ended Real Estate Income and Impact Fund (REIIF) is now over $2.4 billion, backed by a $3.5 billion development pipeline that spans coast to coast.


Forum is also building one of the fastest-growing self-storage platforms in Canada, focused on acquiring, developing, and operating institutional-grade storage facilities in undersupplied urban markets.


Position Overview:

Forum Asset Management is looking for a Data Engineer Intern to help build and scale Forums enterprise data platform using modern cloud technologies.


Youll work on ingesting, transforming, and organizing data from a variety of sources to support analytics, reporting, and AI-driven initiatives. This role is ideal for someone interested in the full data lifecycle - from raw data to business insights.
This is a hands-on, in-office role with exposure to real-world data challenges in investment management and real estate. This posting is for an existing vacancy at Forum.


Key Duties and Responsibilities:

  • Assist in building and maintaining data pipelines (ETL/ELT)
  • Ingest and clean data from internal and external sources
  • Support development of data models and structured datasets
  • Work with Azure tools such as Data Factory, Synapse, or Fabric
  • Help optimize data workflows for performance and reliability
  • Collaborate with software developers and business teams on data needs


Candidate Profile:

    • Currently pursuing a degree in Computer Science, Data Science, Engineering, or related field
    • Proficiency in Python and/or SQL
    • Understanding of data structures and basic data modeling concepts
    • Interest in data engineering, analytics, or big data systems
    • Strong analytical and problem-solving skills


    Nice to Have:

    • Exposure to cloud platforms (Azure preferred)
    • Familiarity with ETL pipelines or data processing tools
    • Interest in AI/ML or working with large datasets


    Invest in Yourself:

    • Compensation We are committed to supporting your success and are offering a salary range of $900/week CAD for this position.
    • Learning and Development Opportunities We believe in Best Idea Wins and foster an entrepreneurial environment where your input has real impact.
    • Diverse & Inclusive Team We celebrate diverse perspectives and are committed to maintaining the highest standards of equity and inclusion.
    • Quarterly All Teams Sessions with your colleagues across the business to share insights, celebrate success, and spotlight culture.
    • Lunch & Learns Regular opportunities to connect, learn, and exchange knowledge with peers across the business.


    Artificial Intelligence (AI) Usage:
    Forum uses AI tools to support the screening and assessment of applications for this role. These tools inform, but do not replace, the judgment of our human hiring team, who make all final hiring decisions.


    Forum Commitment:

    At Forum, we encourage diversity. We are committed to an inclusive workplace that reflects our belief that diversity is central to building a high-performing team. Forum is an equal opportunity employer. We are committed to providing accessible employment practices. Should you require an accommodation during any phase of the recruitment process, please let the recruitment team knowrecruiting@forumam.com