Student Intern, SCM Data Scientist
At a glance
- Pay
- CAD23-CAD30/hr
- Location
- Toronto, Canada
- Work type
- Hybrid
- Category
- Data
16-month internship in Toronto, hybrid work model; CAD 23-30/hour; involvement in data pipelines, ML models, and dashboards within Strategic Sourcing; May 2027 start; potential for casual contract or full-time after internship.
What they are looking for
Location: Toronto, ON, CA
Req ID: 140972 Remote Position: Hybrid Region: Americas Country: Canada State/Province: Ontario City: Toronto
16 Month Internship
As a global technology leader, Celestica designs, engineers, and manufactures industry-leading products and services that drive customer success and market advancement. Headquartered in Toronto, Canada, we bring together over 33,000 employees across more than 45 sites in North America, Europe, and Asia.
With deep expertise in design, engineering, manufacturing, supply chain management and platform solutions, Celestica enables critical data center infrastructure for AI, cloud, and hybrid cloud and advances technologies in high-growth markets. Working with the world’s leading technology companies across a broad range of industries, Celestica helps its customers achieve a competitive advantage. These products span key areas such as data centre technology, aerospace and defense, healthtech, and capital equipment.
Working at Celestica is more than a job. It’s about being part of something bigger and shaping the future with your work. You’ll take on exciting and challenging projects, get hands-on experience, collaborate with a global team, and learn from some of the greatest minds in the industry. And just as we aspire to imagine, develop and deliver a better future with our customers, we’re just as committed to delivering the best employee experience.
Benefits for Students Include
Experience working for one of the largest Canadian global technology companies
Possibility of a student casual contract position after completion of internship
Possibility of a full-time position after completion of degree
Access to Celestica’s development programs and projects
Celestica's Time Off to Volunteer program – two paid days off to volunteer per year
Fun intern activities including celebration events and networking
Internal recognition programs and rewards for stellar performance
What’s in it for you?
Opportunity: Job experience at a large Canadian-based global company
Innovation: We look to our employees to implement new ideas and improve the way we do things
Collaboration: Students work as part of global teams, enabled by collaborative technology
Sustainability: We uphold strong ethics, reduce our impact on the environment and empower employees to give back to the community with two paid days off per year to volunteer
Development opportunities: including soft skills courses, innovation projects and mentorship
Networking: Strategically build your professional network to advance your career and deepen relationships across your peers and colleagues.
Fun: Our interns have the opportunity to participate in fun activities including intern social events, Celestica’s charitable initiatives and our Spirit Week activities
About this opportunity
As the Student Intern, SCM Data Scientist, you will be joining a team that embraces data and technology to develop advanced and innovative solutions. The team works with the Strategic Sourcing and Source to Contract organizations. In this role, you will engage with cross functional business partners and facilitate building data pipelines and analytics projects.
Preferred Skills
Microsoft Azure cloud services: Azure Data Factory, Azure Databricks
Google Cloud Platform: BigQuery, Cloud Storage, and other services.
Power BI platforms
Python
Relational SQL databases
Auto ML tools
Machine Learning algorithms
The ability to quickly familiarize yourself with new languages, tools, frameworks.
General knowledge of the supply chain is considered an asset.
Activities
Support ongoing data projects for Cost Productivity, Price Productivity, and First Quote Competitiveness.
Data Pipeline: Gather required data, organize and manage the data, clean and prepare for modelling.
Data Analysis: Support and maintain Machine Learning Models for consumption by Business users.
Story Telling: Develop dashboards and recurring reports to translate data & information into insight.
Dedication to ensuring your work is well documented and version controlled.
Physical Demands, duties of this position are varied and will include:
Duties of this position are performed in a normal office environment.
Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data.
Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required.
Salary
The range described in this posting is an estimate by the Company, and may change based on several factors, including but not limited to a change in the duties covered by the job posting, or the credentials, experience or geographic jurisdiction of the successful candidate.
The hourly wage is determined by the years of study completed and is non-negotiable as per company policy.
Hourly Wage: $23-30 CAD/hr
Area: Global Supply Chain
Start Date: May 2027
Location: 5140 Yonge St. Toronto, ON
Vacancies: 2
Experience: No Formal Experience Required.
Education: Currently enrolled in a University Internship program completing 3rd year of a 4-year or 4th year of a 5-year in one of the following programs: Data Science, Computer Science, Statistics, Machine Learning and/or Supply Chain Management knowledge considered an asset.
Celestica is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.
At Celestica we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. Special arrangements can be made for candidates who need it throughout the hiring process. Please indicate yo