AstraZeneca

AstraZeneca

AI Business Support Specialist Intern

Canada - Mississauga · Intern · Internship

Sponsorship not specified$43k-$56kDetected 6 days ago
Machine LearningProject ManagementStakeholder ManagementCommunicationCollaborationPublic SpeakingOrganizational Skills

Stay score

odds of building a lasting career here

42Risky
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level I)39
Fits your clock70

Thin sponsorship signal and lottery-bound (~15% per draw). A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • This internship is an opportunity to gain hands-on experience supporting artificial intelligence projects and to learn how AI solutions move from development and testing through implementation and adoption.
  • This role is ideal for a student who is interested in the intersection of AI, technology, business, and project management.
  • You do not need to be an AI developer or machine learning expert.

Responsibilities

  • Support AI projects: Assist with day-to-day project activities, milestone tracking, action items, schedules, and project documentation.
  • Participate in solution testing: Help prepare test scenarios, participate in testing activities, document results, and track issues or feedback.
  • Support User Acceptance Testing (UAT): Work with project team members and business users to help coordinate testing, capture feedback, document observations, and support follow-up activities.
  • Create training and presentation materials: Help develop presentations, user guides, walkthroughs, demos, and other resources that make new AI solutions easier for employees to understand and use.
  • Support project meetings: Help organize meetings and workshops, prepare materials, capture key discussion points and action items, and follow up on next steps.
  • Collaborate across teams: Work with technical and business colleagues to understand project needs and help keep activities and communication organized.
  • Maintain project documentation: Help keep meeting notes, trackers, testing records, training materials, process documentation, and other project resources organized and up to date.
  • Support launch readiness: Assist with activities that help prepare an AI solution for implementation, including readiness checks, training coordination, communications, and user onboarding.
  • Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

Requirements

  • Experience with presentation, spreadsheet, and productivity tools
  • Ability to ask thoughtful questions, receive feedback, and contribute ideas
  • You enjoy organizing information, solving problems, creating clear presentations, collaborating with others, and figuring out how technology can be used effectively in a business environment.
  • GTAA Top Employer Award for 10 years

Compensation

  • Annual base salary for this position ranges from 42,908.00 to 56,316.75.

Benefits

  • offered for permanent roles include a competitive Flex Benefits & Retirement Savings Program, 4 weeks' paid vacation, and annual Personal Days.
  • Fixed Term Contract/Temporary positions (excluding students) are offered a Contract Benefits Program.

Company info

  • Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work.
  • Instead, we are looking for someone who is eager to learn, comfortable working with technology, organized, and interested in helping teams successfully introduce new AI-enabled solutions.
  • We are using AI as part of the recruitment process.
  • What We're Looking For:

This listing is sourced directly from AstraZeneca's careers page and normalized into a canonical job model.