Careers

What do Information
graduates do?

Faculty of Information graduates work in emerging information professions like data science and UX design as well as in the established information professions including libraries and archives.

The Faculty of Information’s Careers Services team partners with employers in the private and public sectors to place students from all our programs in co-op positions, internships, practicum positions and permanent jobs.

The Faculty’s dedicated Careers team supports students seeking out resources, opportunities and advice. They help students land the role that’s right for them be it an internship, a practicum placement, a co-op position or a permanent job.

The Faculty’s dedicated Careers team partners with employers hiring our students for a range of positions as well as with prospective employers interested in learning more about what our students can do for their organizations.

Student Success Stories

Faculty of Information students are hired by companies and organizations including IBM, Autodesk, Ontario Digital Service, D2L, Microsoft, Toronto International Film Festival and Google. They’ve also founded their own startups and gone on to work in academia. Here are some of their stories:

Lorena Almaraz (MI, Class of 2022)

Lorena chose the Human-Centred Data Science concentration to pursue her interest in the policy of data science. She now works in AI governance at Thomson Reuters. “I essentially bring the policy to the technical teams and then represent the technical teams when we’re developing the policy,” she says. “It’s really fun.”

Lorena Almaraz headshot image

Zahra Vassell (MI, Class of 2020)

Zahra specialized in Knowledge and Information Management and is now an Information Governance Specialist with Baker Mackenzie law firm. Her interests lie in information policy, systems and ethics.

Niel Chah (PhD, Class of 2022)

Niel is putting his PhD to use as a Data Scientist with Microsoft’s Gaming Group. His Xbox team is based in Redmond, Washington but Chah works remotely from his hometown of Vancouver. As part of the data science group within gaming, he’s involved in natural language processing, using statistical techniques and models to help Xbox understand what users are saying.

Jobs Site

Please be aware that the Jobs Site is currently under development and is unavailable. If you have any questions or concerns, please contact careers.ischool@utoronto.ca.