Velocity - AI Engineer Internship/Co-Op - Winter 2027

Scotiabank

Toronto

On-site

CAD 36,000 - 48,000

Full time

30 hours ago
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Job summary

Scotiabank’s Velocity AI Engineer Internship/Co-Op in Toronto is a hands-on program focused on building production-grade AI services in the cloud. You will work on data-driven solutions, APIs, and scalable jobs, while learning through guided development and real-world impact.

You’ll join an Enterprise Data & AI team, participate in Agile ceremonies, and gain exposure to Databricks, Python, SQL, and cloud environments like Azure or GCP. This paid term offers growth and mentorship.

Qualifications

  • Enrolled in Computer Science, Engineering, or related post-secondary program.
  • Interest in AI, data engineering, and cloud-based services.
  • Strong Python and SQL skills for data work.

Responsibilities

  • Implement production-grade AI services and pipelines in the cloud.
  • Package and deploy models as scalable services with SLAs and runbooks.
  • Participate in Agile ceremonies and collaborate with teams.
  • Deliver data-driven solutions addressing operational needs.
  • Design, develop and test reliable solutions for complex problems.

Skills

Python
SQL
Cloud data tooling
Data analysis

Education

Computer Science or Engineering program

Tools

Databricks
Azure/GCP
Copilot
Claude

Job description

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Please be advised that our Careers site will be unavailable from November 28 at 12am ET to November 29 12am ET for scheduled system maintenance.
Title: Velocity - AI Engineer Internship/Co-Op - Winter 2027

Requisition ID: 272881

Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.

Term:January2027–April2027

Work Hours/Week: 37.5

Application Deadline:October02, 2026

For students applying to our internship/co-op or new graduate programs, we do notrequireresumes!We believe in evaluating you through relationshipsover resumes and are eager to learn about you, your interests, and your potential.

There'sno better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term,you’llhave the opportunity to be part of a winning team, build your network, and discover what you love – all while getting paid to do it!There’sa place for every type of student atScotiabankand all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity).

TheVelocity Programis not your average internship or co-op! This is a customized experience that focuses on providing you with the development and tools you need to grow your career. After successfully completing a co-op or internship with top performance, we will work with you toestablishyour future placements. As a result, youwill get tolearn, grow, and experiment within different areas of both Scotiabank and Tangerine!

Is this role right for you? In this role, you will:

Implement production grade AI services and pipelines (batch and real time) with a strong focus on reliability, performance, and operational excellence in the cloud.

Execute, manage, and support the packaging and deployment of models andsolutionsas scalable services (APIs, jobs, agents) with clear SLAs, monitoring, alerting, and runbooks.

Participate in Agile development processes including daily stand-ups,planingmeetings, and retrospectives.

Work with teams to deliver data-driven solutions to address operational needs.

Design, develop, and test reliable solutions to complex problems.

Do you have the skills and requirements that will enable you to succeed in this role? –We’dlove to work with you if:

You are currently enrolled ina Computer Science, Engineering, or related post-secondary program

You love to learn and envision yourself working for an international organization that heavily invests in your future.

You enjoy being involved in extracurricular activities such as conferences, clubs, and hackathons.

You have knowledge/experience in:

Hands-on experience with Databricks.

Azure and/or Google Cloud Platform environments.

ProficiencyinPythonfor data analysis or development.

Strong SQL skills for querying and data manipulation.

Familiarity with AI assistants such as Claude.

ExperienceleveragingMicrosoft Copilot in a professional setting.

What’sin it for you?

Join the Enterprise Data & AI Technologyorganization forone of Scotiabank’s most significant enterprise-wide strategic initiatives. This organization drives data enabled decision making, AI innovation, and technology modernization across the Bank.

You’llbe part of a diverse, collaborative, innovative, and high-performing team.

In-depth training to prepare you for the role, as well as ongoing coaching and feedback to help you succeed!

Exclusive student events such as Scotia Student Day, Lunch & Learns, leadership panels, and much more!

Bank-wide orientation to learn more about Scotiabank and gain exposure to senior leadership across the organization.

Location(s): Canada : Ontario : Toronto

Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets.

At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here . Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Job Segment: Entry Level Engineer, Intern, Computer Science, Engineer, Data Analyst, Engineering, Entry Level, Technology, Data

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