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UO
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Plusgrade

Data Science Intern

Toronto, ON, Canada
CAN - Toronto, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Nov 4, 2026

Original job description

Employment Type:

Fixed Term (Fixed Term)

Job Description:

Data Science Intern Co-op

Production machine learning models are only as good as the platform keeping them healthy, and we need someone who wants to build the internal tools, observability, and debugging systems that keep our models reliable in production.

What You'll Be Doing

Working alongside data scientists, ML engineers, and data engineers under the guidance of the Senior Manager of Data Science, you will build and ship the developer tools and observability systems that keep our production machine learning models running reliably. You will spend your days writing clean Python and SQL on AWS, tracking pipeline health and data quality, and flagging performance anomalies before they ever reach our partners. AI-assisted diagnostics and failure summarization tools accelerate how you trace pipeline bugs, leaving you with more room to design robust monitoring solutions and test their impact directly with the team. Before your term ends, the utilities and dashboards you deliver will be in the hands of the data science team, serving as part of their daily production workflow.

The Stack

Python · SQL · PyTorch · scikit-learn · AWS (SageMaker, S3, CloudWatch) · Git

What You Bring

You are currently enrolled in a university co-op program in computer science, mathematics, statistics, engineering, or a related quantitative discipline, with an active work term available.
You write clean, functional Python and SQL, with coursework or project experience in machine learning and frameworks like PyTorch or scikit-learn, backed by disciplined Git habits.
You have a relentless curiosity for getting under the hood of systems to figure out why pipelines break, with an active interest in MLOps, model observability, and cloud platforms like AWS.
You explain technical findings clearly and concisely, translating complex failure root causes, data discrepancies, and platform metrics into insights that technical and non-technical stakeholders easily understand.
When it comes to AI, you have already built workflows or tools using LLMs to write code, automate repetitive tasks, or analyze data, pairing fast generation with the sharp judgment needed to catch hallucinations and verify results before shipping.

Why Plusgrade

Travel is about the moments that make a journey feel personal. At Plusgrade, we build the technology that makes those moments possible, from upgrade offers and loyalty experiences to revenue tools used by 575+ airline, hospitality, cruise, rail, and financial services partners worldwide.

The work is global, complex, and rewarding. You will solve meaningful problems, take ownership from idea to outcome, and work alongside people who are smart, curious, and committed to doing great work.

We also give our teams access to AI tools and the encouragement to use them thoughtfully, to move faster, explore ideas, and build better ways of working.

We trust our teams to do their best work. That means autonomy, flexibility, and room to grow.

Come help us shape the future of travel.

What You'll Love About Us

🏦 RRSP Matching · 🏥 Comprehensive Health Plans · 📅 Flexible Paid Time Off · ✈️ Travel Experience Perk · 🧘 Annual Wellness Perk · 🚆 Commuter Perk · 🌅 Tenure-Based Work From Anywhere Program · 🍼 Parental Leave Top Up · 🌍 Adventure Pass · 🎓 Learning Allowance

Our Process

We believe every candidate deserves a fair, transparent experience, so regardless of outcome, everyone gets feedback.

Our process: Recruiter call → Hiring Manager interview → Final interview.

Plusgrade is an equal-opportunity employer committed to accessible recruitment. We welcome applications from all qualified individuals regardless of gender identity or expression, race, ethnic origin, creed, place of origin, age, sex, marital status, physical or mental disability, sexual orientation, or any other category protected by law. Accommodation is available upon request. We may use AI-assisted tools to help screen and assess applicants for this role. This posting is for an existing vacancy.

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More about this job

Responsibilities

You will build and maintain observability systems and developer tools to ensure the reliability of production machine learning models. Working alongside data scientists and engineers, you will write clean code to monitor pipeline health and flag performance anomalies.

Requirements

Candidates must be currently enrolled in a university co-op program in a quantitative discipline with an active work term. You should have proficiency in Python and SQL, along with experience in machine learning frameworks and cloud platforms like AWS.

Skills

Python
SQL
PyTorch
Scikit-learn
AWS
SageMaker
S3
CloudWatch
Git
Machine Learning
MLOps
Model Observability
Data Engineering
Data Analysis
LLMs

Benefits

RRSP Matching
Comprehensive Health Plans
Flexible Paid Time Off
Travel Experience Perk
Annual Wellness Perk
Commuter Perk
Tenure-Based Work From Anywhere Program
Parental Leave Top Up
Adventure Pass
Learning Allowance

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Python
SQL
PyTorch
Scikit-learn
AWS
SageMaker
S3
CloudWatch
Git
MLOps
Observability
Data Engineering
LLMs
Pipeline Health
Data Quality
Performance Anomalies
Co-op
Computer Science
Mathematics
Statistics
Engineering
Quantitative Discipline
Developer Tools
Dashboards
Automation
Cloud Platforms

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