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

Job summary

The intern will perform data exploration, model training, and operationalize advanced analytics models following bank standards. They will also automate data pipelines, monitor model performance, and collaborate with data scientists on continuous optimization.

Job details

Requisition ID: 273035 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Velocity - Data Engineer Internship/Co-Op – Winter 2027 Term: January 2027 – April 2027 Work Hours/Week: 37.5 Application Deadline: October 02, 2026 Ready to Start your Journey with Scotiabank? Apply Now! For students applying to our internship/co-op or new graduate programs, we do not require resumes! We believe in evaluating you through relationships over resumes and are eager to learn about you, your interests, and your potential. There's no better way to kickstart your career than to do a co-op or internship with Scotiabank! During your work term, you’ll have 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’s a place for every type of student at Scotiabank and all that we ask for is that you have passion and strong AOO (Attitude, Ownership and Opportunity). The Velocity Program is 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 to establish your future placements. As a result, you will get to learn, grow, and experiment within different areas of both Scotiabank and Tangerine! Is this role right for you? In this role, you will: Perform data exploration on different data sources and model training Productionalize/Operationalize advanced analytics models following the Bank standards. ModelOps plays a key role as a liaison with other teams (Security, Privacy, Data Office, Analytics, Technology, among others) Automate data pipelines and trigger actions/events to streamline business processes and models enablement Enable mechanisms for Data Scientist and stakeholders to monitor the performance of a Model Monitor the run time of the models, work closely with Data Scientist on continuous optimization Monitor data pipelines, liaise with vendors, and source systems groups in the event of failures/maintenance Migrate data pipelines and models to new analytics platforms Experiment & learn! Do you have the skills and requirements that will enable you to succeed in this role? – We’d love to work with you if: You are currently enrolled in post-secondary education. 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: Big Data Technologies (Hive/Beeline, HDFS, Sqoop, Spark) Cloud platforms – GCP, Azure or AWS MinIO Data Storage, Airflow, Trino DB2, SQL Server Python (PyHive, PySpark), R, SQL-Shell (Bash, Korn) & general Linux/Unix CI/CD tech stack (BitBucket, Jenkins, Artifactory) This internship requires you to work 37.5 hours a week. What’s in it for you? You’ll be 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. Please follow the steps below to successfully apply: Step 1: Complete your PLUM Profile here and save it as a screenshot. Step 2: Complete a short one-way video interview here. Step 3: Complete a coding test through Codility to showcase your technical skills by solving job-related problems. Please make sure to have this Codility test completed prior to applying through our career site. When you're ready, click here to begin the assessment. Step 4: Once you have completed your Plum Profile, one-way video interview and Codility test, apply to the role on our website. Reminder: when the application asks for your resume, instead upload the screenshot of your PLUM Profile! Note: The one-way video interview & codility assessment for all our Velocity Data Science, Data Analyst, Data Engineering for Summer 2026 Internship applications are the same. You only need to complete this one! 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.

What you’ll do

The intern will perform data exploration, model training, and operationalize advanced analytics models following bank standards. They will also automate data pipelines, monitor model performance, and collaborate with data scientists on continuous optimization.

Requirements

Candidates must be currently enrolled in post-secondary education and possess strong skills in big data technologies, cloud platforms, and programming languages like Python or R. Applicants are expected to demonstrate passion, ownership, and the ability to work in a collaborative, high-performing environment.

Benefits

• Paid internship • Professional development • Networking opportunities • Coaching and feedback • Student events • Leadership exposure

Listed skills

• Microsoft Azure · Preferred
• SQL · Preferred
• CI/CD · Preferred
• Amazon Web Services · Preferred
• Linux · Preferred
• Google Cloud · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Big Data Technologies
• Hive
• HDFS
• Spark
• GCP
• Azure
• AWS
• Airflow
• Trino
• Python
• SQL
• Linux
• Unix
• CI/CD
• Jenkins
• Data modeling
• ModelOps
• Private Banking
• Apache Airflow
• Advanced Analytics
• Willingness To Learn
• Amazon Web Services
• Data Analysis
• American Sign Language (ASL)
• Microsoft Azure
• Bash (Scripting Language)
• Big Data
• Commercial Banking
• Business Process
• Capital Markets
• Data Engineering
• DB2 SQL
• Document Formatting
• Experimentation
• R (Programming Language)
• Leadership
• Hadoop Distributed File System (HDFS)
• Higher Education
• Apache Hive
• Innovation
• Investment Banking
• Python (Programming Language)
• Operationalization
• Wealth Management
• Coaching
• SQL (Programming Language)
• Sqoop
• Data Storage
• Data Science
• Beeline

Job areas

• Data & Analytics
• Technology
• Software
• Finance & Accounting
• Engineering
• Engineering Intern
• Data Engineer
• Software Developers
• Database Administrators