Data Scientist Student – Winter 2027
At a glance
Junior Data Science role at J.D. Irving. Saint John · full-time · no salary stated · we estimate CA$70,813–CA$104,375 across Canada.
J.D. Irving has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Gather, tidy and examine information from multiple sources to support analytics projects
- Build and evaluate machine learning models, and try out generative AI applications
- Explore datasets and turn findings into clear visual displays
- Use Python and SQL to automate workflows and contribute to optimization, simulation and MLOps work
What you bring
- You’re enrolled in an undergraduate program in data science, computer science, mathematics or a related area
- You have foundational Python and SQL skills, along with familiarity with machine learning ideas
- You’re curious about AI, including generative models, natural language processing or computer vision
- You can explain findings clearly to both technical and non-technical audiences
Who this fits
This student role suits someone looking to apply their studies to practical data and AI projects while learning from experienced data scientists. It is based in Saint John, Canada.
From the employer
Love AI and data? Join our Analytics team and work on projects that bring machine learning, generative AI, and predictive modeling to life! This is your chance to apply classroom knowledge to real-world challenges, build cool solutions, and learn from experienced data scientists.
Why Apply?
- Hands-on experience with AI, ML, and GenAI projects.
- Build your portfolio with real business impact.
- Learn from experts and explore cutting-edge technologies.
- Collect, clean, and analyze data from multiple sources.
- Build and test ML models and experiment with GenAI applications.
- Perform exploratory data analysis and create impactful visualizations.
- Automate workflows using Python and SQL.
- Collaborate on projects involving AI-driven optimization, simulation, and MLOps.
- Currently enrolled in a Bachelor’s program in Data Science, Computer Science, Math, or related field.
- Basic knowledge of Python and SQL; familiarity with ML concepts.
- Interest in AI technologies like generative models, NLP, and computer vision.
- Strong problem-solving skills and curiosity to learn new tools.
- Ability to communicate insights clearly to technical and non-technical audiences.
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