Data Science Intern

Plusgrade; Toronto; Hybrid; CAD 28,000 - 41,000; Full time

Benefits offered by this job

RRSP Matching

Comprehensive Health Plans

Flexible Paid Time Off

Travel Experience Perk

Annual Wellness Perk

Commuter Perk

Tenure-Based Work From Anywhere

Parental Leave Top Up

Adventure Pass

Learning Allowance

Job summary

Plusgrade is seeking a Data Science Intern Co-op in Toronto to help build internal tools for production ML observability and reliability. You’ll work with data scientists, ML engineers, and data engineers, focusing on Python, SQL, and AWS-based pipelines.

You’ll contribute to diagnostics, monitoring dashboards, and tooling that supports the data science team’s daily workflow. This is a fixed-term hybrid role in CAN - Toronto.

Qualifications

• Enrolled in a university co-op program in computer science, mathematics, statistics, engineering, or a related quantitative discipline.
• Experience writing clean Python and SQL, with coursework or project work in ML and frameworks like PyTorch or scikit-learn.
• Interest in MLOps, model observability, and cloud platforms like AWS.
• Ability to translate complex failures and data discrepancies into clear insights for technical and non-technical stakeholders.

Responsibilities

• Collaborate with data scientists, ML engineers, and data engineers to build and ship developer tools and observability systems for production models.
• Write clean Python and SQL, monitor data pipelines on AWS, and flag performance anomalies before they impact partners.
• Develop AI-assisted diagnostics and failure summarization to trace pipeline issues and test monitoring solutions.
• Deliver utilities and dashboards to the data science team, integrating them into daily production workflows.

Skills

Python

SQL

PyTorch

scikit-learn

Git

Education

University co-op program in CS/Math/Stats/Engineering

Tools

AWS

Job description

Data Science Intern# Career Site## Data Science InternApply: Hybrid: CAN - Toronto: Full time: Posted 2 Days Ago: JR100230**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.