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.