Skip to main content
Post your resume and find your next job on Indeed!

Data Science Intern jobs in Toronto, ON

Sort by: -
    • Practical understanding of NLP, machine learning fundamentals, and data science workflows.
    • Collaborate with data analytics and engineering teams to ensure AI…
    • Develop program using Python, Oracle Procedure, Java and other tools for analytical data mining, software development, or business reporting.
    • Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of…
  • View similar jobs with this employer
    • 3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology,…
    • Reporting to the Manager of Software Engineering, the Software Quality Assurance Co-op plays a vital role in delivering quality software.
    • Collaborate with data stakeholders to align model objectives with business goals.
    • Reports To: * Head and Senior Manager of Credit Risk Management Department.
  • View similar jobs with this employer
    • 3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology,…
    • Reports To: Team Manager/ Deputy Head//Head of CRMD.
    • Employment Type: Full-Time Contract.
    • Register credit applications in the master register in accordance…
    • Computer Methods International Corp. (CMiC) is a Software Development firm specializing in enterprise financial and cost management systems designed for the…
    • Extensive experience in Python and its core data science libraries (e.g., Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn).
    • Data Stewardship : Confident working with structured and unstructured data from multiple sources, ensuring data usability, cleanliness, and reliability.
    • Troubleshoot data collection and data quality issues across development and production environments.
    • Strong understanding of data pipeline stages and practical…
    • 3+ years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity.
  • View similar jobs with this employer
    • 3+ years of hands-on experience in a quantitative role or research environment — such as data science, statistics, economics, finance, physics, biology,…
    • 5+ years across data science & ML, including retail/operations use-cases (or adjacent large-scale domains).
    • We’re looking for an Applied ML Lead Scientist who…
Get email updates for the latest Data Science Intern jobs in Toronto, ON

By creating a job alert, you agree to our Terms . You can change your consent settings at any time by unsubscribing or as detailed in our terms.

People also searched:

data science
data scientist
data analyst
data analyst intern
part time
machine learning intern
data entry
data intern
data
data analyst entry level

Career Resources:

Job Post Details

TELUS logo

AI Engineer - job post

TELUS
3.7 out of 5 stars
Toronto, ON•Hybrid work
$120,000–$130,000 a year - Full-time

Job details

Pay

  • $120,000–$130,000 a year

Job type

  • Full-time

Location

Toronto, ON•Hybrid work

Benefits

Pulled from the full job description

  • Paid time off
  • Extended health care
  • Work from home

Full job description

AI Engineer

Our team and what we will accomplish together

TELUS' Door-to-Door (D2D) channel is one of our largest residential sales channels, made up of field sales representatives who engage customers directly in their communities to sell and support TELUS products and services. Our team, Data Analytics & Innovation for D2D, provides the data, tools, technology, and insights that enable this channel to operate effectively. The D2D AI Innovation Hub is a newly established team within this broader group, building AI-driven tools and automation across two pillars: D2D Channel AI Innovation and Partner Ecosystem & Comp AI — spanning rep enablement and coaching tools, territory and CRM optimization, compensation modeling, and quality and audit automation.

We are looking for an AI Engineer to design, build, and deploy agentic AI applications and automation workflows that solve real problems for our field sales channel. This role is ideal for someone who is equally comfortable prototyping quickly and shipping production-grade solutions, who can translate ambiguous business problems into working AI systems, and who wants to help stand up a brand-new AI capability from the ground up.

What you will do

  • Design, build, and deploy agentic AI applications and automation workflows using tools such as n8n, KNIME, and GCP/Vertex AI.
  • Develop and productionize AI solutions across the D2D AI Innovation Hub's focus areas, including rep enablement, territory scoring, CRM automation, and compensation modeling.
  • Build and maintain integrations between AI systems and enterprise data sources, including BigQuery and MCP (Model Context Protocol) servers.
  • Turn ambiguous business requirements into working prototypes and iterate quickly with SMEs and stakeholders.
  • Apply large language models and NLP techniques to unstructured field-sales data to surface insights, automate manual work, and improve rep and channel performance.
  • Collaborate with data analytics and engineering teams to ensure AI solutions are reliable, scalable, and well integrated with existing data pipelines.
  • Support feasibility assessments and MVP scoping for new AI use cases, balancing ambition with delivery timelines.
  • Document architecture, workflows, and model behavior clearly for both technical and non-technical audiences.

What you bring

  • 3+ years of experience as an AI/ML Engineer, Data Scientist building and deploying AI-powered applications.
  • Hands-on experience building agentic AI workflows and automations (e.g., n8n, LangChain, or similar orchestration frameworks).
  • Working knowledge of cloud AI platforms such as GCP (Vertex AI, BigQuery) and experience integrating LLM APIs into production systems.
  • Solid programming skills in Python and/or JavaScript, with experience building and consuming APIs.
  • Practical understanding of NLP, machine learning fundamentals, and data science workflows.
  • Experience with low-code/no-code data tools such as KNIME is an asset.
  • Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Comfort operating in a fast-paced, ambiguous, early-stage environment and iterating on rapidly evolving priorities.

Great-to-haves

  • Experience supporting sales, field operations, or revenue-focused teams.
  • Telecom or large enterprise experience.

Pay: $120,000.00-$130,000.00 per year

Benefits:

  • Extended health care
  • Paid time off
  • Work from home

Work Location: Hybrid remote in Toronto, ON (York District)

Let Employers Find YouUpload Your Resume