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Data Science Intern Jobs in Windsor, ON (NOW HIRING)

Data Developer II

Windsor, ON · On-site

CA$35.06 - CA$46/hr

Bachelor's or graduate degree in computer engineering, mathematics, data science, or related disciplines. * 4-6 years of professional experience in a related field. * Experience using the following ...

Data Science Intern information

See Windsor, ON salary details

$10

$33

$86

How much do data science intern jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for data science intern in Windsor, ON is $33.30, according to ZipRecruiter salary data. Most workers in this role earn between $17.35 and $39.45 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 Windsor, ON?

The most popular types of Data Science jobs in Windsor, ON are:

What job categories do people searching Data Science Intern jobs in Windsor, ON look for?

The top searched job categories for Data Science Intern jobs in Windsor, ON are:

What cities near Windsor, ON are hiring for Data Science Intern jobs?

Cities near Windsor, ON with the most Data Science Intern job openings:

Infographic showing various Data Science Intern job openings in Windsor, ON as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 16% Part Time, 1% Temporary, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $69,271 per year, or $33.3 per hour.

CA$35.06 - CA$46/hr

Full-time

Re-posted 10 days ago


Job description

Job Description

As a Data Developer II, you will be responsible for designing, implementing, and maintaining GEM's data infrastructure and systems with a strong emphasis on leveraging modern data technologies and cloud platforms. The ideal candidate will have a proven track record in building scalable data solutions to enable advanced analytics and data management capabilities. This role will also involve driving the adoption of best practices in data engineering, promoting a data-centric culture, and providing mentorship within the development team. 

What does your typical day look like?

  • Design, develop, and maintain modern data pipelines, data warehouses, and data lakes using Snowflake and Azure Data Services.
  • Architect data solutions leveraging DBT for data transformation and Azure Data Factory for pipeline orchestration.
  • Collaborate with business and data teams to translate data requirements into efficient data models, ensuring compliance with data governance and architecture standards.
  • Utilize cloud-native data services, including Azure Storage, to optimize data management and scalability.
  • Implement and automate data quality checks using tools like DBT tests.
  • Implement and enforce data governance policies and procedures to ensure data quality, consistency, and compliance.
  • Develop and maintain data dictionaries, data lineage, and metadata management processes.
  • Collaborate with stakeholders to define data standards, naming conventions, and data classification.

What skills and training do you need?

  • Bachelor's or graduate degree in computer engineering, mathematics, data science, or related disciplines.
  • 4-6 years of professional experience in a related field.
  • Experience using the following software/tools:
  • Relational and NoSQL databases (e.g., MS SQL Server, Snowflake, PostgreSQL, MariaDB).
  • Cloud platforms (Azure preferred) and cloud-based data services.
  • Data modeling and transformation tools like DBT.
  • ETL tools such as Azure Data Factory, Airflow, or Informatica.
  • Knowledge of APIs and data integration strategies.
  • Relevant certifications in Azure Data Services or Snowflake are a plus.
  • Advanced proficiency in modern data technologies such as Snowflake, DBT, and Azure Data Factory.
  • Strong experience with SQL and data pipeline automation.
  • Deep understanding of data governance frameworks, data quality management, and security protocols.
  • Ability to collaborate across teams, communicate complex technical solutions, and drive consensus on best practices.
  • Proven track record of designing and implementing cloud-based data architectures with a focus on scalability, security, and cost-efficiency.

When you apply:

If you require assistance or accommodation during our recruitment process, please notify Human Resources so that we can review and consider how we may be able to assist you based on your individual needs.

We offer you

Global Excel offers more than a position;

  • We offer a competitive compensation package that includes a base salary, performance bonus and an extensive benefits package;
  • A professional future with opportunities for development, growth, and advancement; 
  • RRSP Match program;
  • Financial assistance to employees who wish to continue their education;
  • Work/life balance, health and wellness initiatives including an excellent EAP program;
  • Employee engagement programs that focus on fitness, food, and fun;
  • Windsor, Ontario Candidates: base hourly salary scale ($35.06/hour - $46.00/hour). Relevant candidate experience considered;
  • Other locations, salary to be discussed based on geographic differential.

To get a taste of the Global Excel life and for more information on our company, visit our Facebook page and website: 

Employment Type: OTHER