Velocity - Data Scientist Internship/co-op - Winter

4 months ago

Toronto, Canada Scotiabank Full time

Requisition ID: 205922

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

Term: January 2025 - May 2025

Application Deadline: September 27th, 2024

Please follow the steps below to successfully apply:
Step 1: Complete your PLUM Profile here and save as a screenshot.

Step 2: Complete a short one-way video interview here.
- To be considered for student opportunities at Scotiabank, Tangerine, and MD Financial you must complete all steps above.

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:

- Collaborate with business lines and other stakeholders and identify opportunities to drive business value by leveraging data science solutions
- Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
- Collaborate with data engineering, software developer, and other analytics teams to build analytical dataset and model
- Prepare detailed documentation to outline data sources, models, and algorithms used and developed
- Present results to business line stakeholders and help implement real data-driven changes
- Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes
- 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:

- Cleaning, transforming, and visualizing large data sets working with various data formats (e.g., unstructured logs, XML, JSON, flat files)
- Big Data/Cloud ecosystem (e.g., GCP)
- Experimental design, statistical analysis, machine learning
- Python programming
- Common machine learning libraries in Python, PySpark (scikit-learn, xgboost)
- UNIX tools and shell scripting
- SQL skills for querying relational databases (e.g., SQL Server, DB2, MySQL)
- Visualization tools like PowerBI
- Kubernetes
- Git Workflows (Pull Request, Code Review, Branching)

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.

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.

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