Data Science Intern

We are looking for Full time Intern/Co-op (Data Science) for one of our top healthcare clients:

Duration: 6 months (January 2026 – June 2026)

Location: Toronto

Our client’s Technology Co-op Program offers an in-depth learning opportunity and professional experience within the technology sector at a top global healthcare organization. Your application and stated interests will help us match you to one of our many dynamic positions. This role also provides the possibility of full-time employment after you complete your degree.

Responsibilities:

Support a range of technology assignments.

Data Engineering & Analytics: Leverage raw data by skillfully engineering, transforming, modeling, visualizing, and streaming it into modern products, creating exceptional customer experiences.

Decision Science (AI, ML, & Intelligent Automation): Utilize Artificial Intelligence, Machine Learning, and automation technologies to enhance decision-making, automate workflows, and minimize manual tasks.

Experience Design (UI/UX, Service Design): Take a user-centric approach to invent experiences that are intuitive, visually stunning, and purposeful—considering the complete human journey for a seamless, context-driven experience that helps products connect meaningfully with their audiences.

Scientific & Digital Health Technologies: Employ cutting-edge health technologies combined with digital and virtual interactions to create immersive experiences for patients and healthcare professionals.

Customer (Digital) Experiences (CX, AR/VR): Create systems and tools that facilitate customer interaction and collaboration.

Commercial Excellence: Design systems and tools that enhance commercial capabilities to better serve customers.

Software Engineering: Develop efficient, reliable, and tailored code to support business objectives.

Cloud, DevOps & Security: Specialists in architecture, engineering, and automation focused on implementing cloud policies as code, compliance as code, infrastructure as code, and CI/CD product pipelines.

Cybersecurity: Employ comprehensive strategies—people, policies, processes, and technologies—to safeguard digital assets.

Device Engineering: Specialize in designing intelligent, connected, medical-grade devices and functionalities.

Product Manager: Oversees project planning and resource management using rapid-cycle methodology, conducting market research, product design, lifecycle management, testing, requirements assessment, and concept testing.

Digital (Agile) Mindset: Emphasizes business agility, agile delivery, a fail-fast approach, and measurable results.

Most assignments will include, but aren’t limited to, these responsibilities:

- Collaborate within specialized teams in the Technology organization to develop solutions for business partners and deliver value.
- Contribute individually or within a team to support a specific technology area, working with key stakeholders to achieve objectives aligned with the Technology project and program portfolio.
- Develop awareness and practical experience in essential capability skills to support the Technology Strategy.
- Perform data and process analysis to aid in creating critical solutions.

Requirements:

• Permanent Canada work authorization without the need for sponsorship now, or in the future.

• Have a cumulative GPA of 3.0 or higher, which is reflective of all college coursework.

• Be currently enrolled and pursuing a Bachelor’s or Master’s degree. Master's students shall be given preference. Preferred fields: include Information Management, Information Technology, Computer Engineering, Management Information Systems, Computer Science, Software Engineering / Development, Data Science, Cybersecurity, Graphic Design or Mathematics.

Data science projects/experience preferred.

• Able and committed to working full time (40 hours a week) from January 2026, through June 2026.

• Have a passion for a career in technology.