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. Model Ops 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 (Bit Bucket, 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 and save it as a screenshot.
Step 2:
Complete a short one-way video interview
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, 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!
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