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Velocity - Data Scientist Internship/Co-Op - Winter 2025 1 1

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Scotiabank

14d ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • Toronto
  • 9d left

AI generated summary

  • You must be a post-secondary student with a passion for learning, experienced in Big Data, cloud platforms, Python, R, SQL, and CI/CD tools, and engaged in extracurricular activities.
  • You will explore data, productionalize models, automate pipelines, monitor performance, collaborate with teams, manage vendor relations, and migrate data to new platforms while experimenting and learning.

Requirements

  • 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)

Responsibilities

  • 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!

FAQs

What is the term for the Velocity Data Scientist Internship/Co-Op?

The term for the Velocity Data Scientist Internship/Co-Op is from January 2025 to May 2025.

What is the application deadline for this position?

The application deadline for this position is September 27th, 2024.

Do I need to submit a resume to apply?

No, you do not need to submit a resume. Instead, you will need to complete a PLUM Profile and upload a screenshot of it when applying.

What steps are required to apply for this internship?

The required steps to apply are: 1) Complete your PLUM Profile and save a screenshot. 2) Complete a short one-way video interview. 3) Complete a coding test through Codility. 4) Apply to the role on the Scotiabank website using the screenshot of your PLUM Profile.

What skills and experience are preferred for this internship?

Preferred skills and experience include knowledge of Big Data Technologies, cloud platforms (GCP, Azure, AWS), MinIO Data Storage, Airflow, Trino, DB2, SQL Server, and programming in Python, R, and SQL, as well as familiarity with CI/CD technologies.

What kind of work will I be doing as a Data Scientist Intern?

As a Data Scientist Intern, you will perform data exploration, train models, productionalize advanced analytics models, automate data pipelines, monitor model performance, and work on various tasks related to data management and analytics.

Will I receive training during the internship?

Yes, you will receive in-depth training to prepare for the role, along with ongoing coaching and feedback to help you succeed.

Will there be opportunities for networking during the internship?

Yes, there will be exclusive student events, bank-wide orientations, and opportunities to gain exposure to senior leadership.

Where is the internship located?

The internship is located in Toronto, Ontario, Canada.

What qualities does Scotiabank look for in candidates?

Scotiabank looks for candidates who have passion, strong attitude, ownership, and the ability to recognize opportunities. They value individuals who love to learn and are involved in extracurricular activities.

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