Requisition ID: 234796
Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture.
Velocity - Data Scientist Internship/Co-Op – Winter 2026
Term: January 2026 – April 2026
Work Hours/Week: 37.5
Application Deadline: 9/29/25

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)
• This internship requires you to work 37.5 hours a week

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)
• This internship requires you to work 37.5 hours a week.

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
• 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 implement real data-driven changes
• Work on challenging and research-based initiatives using advanced machine learning methods focusing on data-driven outcomes
• Experiment & learn