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

Scotiabank; Toronto; On-site; CAD 12,398,000 - 20,664,000; Full time

Job summary

Scotiabank’s Velocity Data Scientist Internship/Co-Op for Winter 2027 invites a motivated student to apply data science techniques on real business problems. You will collaborate with cross-functional teams, learn through hands-on projects, and gain exposure to Spark, Python, and machine learning in finance.

The term runs January to April 2027 with 37.5 hours/week, and the program offers development, networking, and potential future placements across Scotiabank and Tangerine.

Qualifications

• Enrolled in post-secondary education and pursuing relevant studies.
• Strong curiosity and willingness to learn.
• Interest in data science and analytics.
• Ability to work in a collaborative team.

Responsibilities

• Collaborate with stakeholders to identify data science opportunities.
• Use Spark and Python for data mining and modeling.
• Work with data engineering and software teams to build datasets and models.
• Document data sources, models, and algorithms.
• Present results to stakeholders and support data-driven changes.
• Engage in research-focused initiatives using advanced ML methods.

Skills

Python

PySpark

scikit-learn

xgboost

UNIX shell

SQL

Power BI

Git workflows

Data wrangling

Tools

Spark

Cloud

Job description

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Title: Velocity - Data Scientist Internship/Co-Op -Winter 2027

Requisition ID: 273039

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

Velocity - Data Scientist Internship/Co-Op –Winter 2027

Term:January 2027–April 2027

Work Hours/Week: 37.5

Application Deadline:October 02, 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:

• Collaborate with business lines and other stakeholders andidentifyopportunities to drive business value byleveragingdata science solutions
• Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
• Collaborate with data engineering, softwaredeveloper, and other analytics teams to build analyticaldatasetandmodel
• Create and apply model and algorithm testing strategies to measure, conduct testing to measure the effectiveness of models, and make ongoing changes
• Prepare detailed documentation to outline data sources, models, and algorithms used and developed
• Present results to business line stakeholders and help implementreal data-drivenchanges
• Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes

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 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)
• 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 likePowerBI
• Git Workflows (Pull Request, Code Review, Branching)

This internship requires you to work37.5 hoursa week.

What’s in it for you?

• 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.

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