Data Science Intern

Plusgrade Inc.

Toronto

On-site

CAD 28,000 - 41,000

Part time

6 days ago
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Job summary

Plusgrade Inc. is seeking a Data Science Intern Co-op in Toronto to collaborate with our data science and ML teams. You will write clean Python and SQL, build observability tools, and help ensure production ML models run reliably on AWS.

You’ll engage with AI-assisted diagnostics, tracing pipeline issues and delivering dashboards used by the team. You should be a current university student in a co-op program, with ML framework experience (PyTorch/scikit-learn) and strong Git practices, plus a

Qualifications

  • 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.
  • Strong Python and SQL coding skills with clean, functional style.
  • Hands-on coursework or project experience in ML and frameworks like PyTorch or scikit-learn.
  • Demonstrated Git habits and version control discipline.
  • Interest in MLOps, model observability, and cloud platforms like AWS.

Responsibilities

  • Collaborate with data scientists, ML engineers, and data engineers to build developer tools and observability systems.
  • Contribute to pipelines health monitoring and data quality tracking to prevent issues reaching partners.
  • Develop AI-assisted diagnostics and failure summarization tools to trace pipeline bugs.
  • Deliver utilities and dashboards to the data science team for production workflows.

Skills

Python
SQL
ML Ops
Git

Education

CS/Math/Engineering

Tools

PyTorch
scikit-learn
AWS
SageMaker
S3
CloudWatch

Job description

Employment Type: Fixed Term (Fixed Term) Job Description: Data Science Intern Co-op

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

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 to Hiring Manager interview to 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.

Plusgrade powers the global travel industry with its portfolio of leading ancillary revenue solutions. Over 575 airline, hospitality, cruise, passenger rail, and financial services companies trust Plusgrade to create new, meaningful revenue streams through incredible customer experiences. As an ancillary revenue powerhouse, Plusgrade has generated billions of dollars in new revenue opportunities across its platform for its partners, while creating enhanced travel experiences for millions of their passengers and guests. Plusgrade was founded in 2009 with headquarters in Montreal and offices around the world.

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