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IBM

Data Scientist Intern (4 month term - Toronto or Montreal)

IBM
Canada · Full-time · Internship

Introduction

A career in IBM Consulting is rooted by long term relationships and close collaboration with clients across the globe. You'll work with visionaries across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world. Your ability to accelerate impact and make meaningful change for your clients is enabled by our strategic partner ecosystem and our robust technology platforms across the IBM portfolio; including Software and Red Hat.

Your Role And Responsibilities

This position is open to applicants who reside in Toronto or Montreal and is open to applicants seeking a 4 month internship work term, commencing in September 2025. It is mandatory that all applicants are enrolled in full-time studies at a post-secondary institution and returning to full-time studies upon completion of their work term.

Our team is looking for candidates with exceptional technical aptitude, a passion for applied data science, and an interest in telling stories through data to solve real world business problems.

The successful candidate will join a fast-paced consulting team, composed of Partners, Product Managers, Data Scientists, Architects and Software Engineers to conceptualize, develop and deploy machine learning solutions to solve enterprise-scale problems. As a team, we pride ourselves on tackling some of the most difficult challenges our clients face by bringing together subject matter expertise, data science, and technical execution.

As an intern Data Scientist, you’ll have the unique opportunity to learn and use industry leading data science technologies on a cloud platform (e.g. IBM Cloud, Azure) by working on innovative projects that generate value for external client engagements or internal initiatives.

Candidates considered for a Quebec position must be fluent in French.

Preferred Education

Bachelor's Degree

Required Technical And Professional Expertise

Demonstrated familiarity or interest in machine learning, statistical analysis, or data mining through previous internships, personal/ academic projects, hackathons, and/or publications. Experience with one or more scripting languages (Python preferred), or a proven computer science foundation. Able to confidently communicate ideas to an audience of peers/managers, comfortable and effective in working independently and as a member of a cross-functional team.

Skill Sets We Are Looking For May Include

  • AWS / Azure / Google Cloud Platform (GCP) / IBM Cloud / On-Premises
  • Infrastructure as Code (IaC): Terraform, CloudFormation
  • Kubernetes, AKS, EKS, GKE, RedHat OpenShift
  • Jenkins, Tekton, GitOps, ArgoCD
  • Containerization, Docker, Podman
  • Configuration Management, Ansible, Chef, Helm
  • Monitoring & Logging: Prometheus, Grafana, ELK Stack, DataDog, Instana, LogDNA, SysDig
  • Version Control: Git, GitOps
  • DevSecOps: JFROG, Nexus, Container Registry, Continuous Integration / Continuous Delivery (CI/CD)
  • Artificial Intelligence, Machine Learning (AI/ML)
  • AI frameworks, OpenAI, Hugging Face, TensorFlow
  • Large Language Models (LLM), LLMOps , MLOps, NLP, GitHub Co-pilot.
  • Scripting: bash, python, groovy, shell, go
  • Network: Fortigate, VPC, VPN, Gateway, Security Groups, Subnets, Routing Tables
  • Cloud Security and Compliance
  • Research, Problem Solving, Communication Skills

Preferred Technical And Professional Experience

Minimum one work term in a data science or machine learning related role. Experience using machine-learning/data science libraries in python (scikit-learn, SciPy, pandas, TensorFlow). General familiarity with databases and data-engineering tools (SQL, Spark).

Key Skills

Ranked by relevance

cloud machine learning python ibm cloud ai configuration management artificial intelligence continuous integration infrastructure as code google cloud platform continuous delivery containerization cloud security data mining prometheus tensorflow terraform jenkins ansible grafana datadog docker groovy pandas nexus scipy spark mlops bash git sql gcp elk eks vpn
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Posted
May 01, 2025
Type
Full-time
Level
Internship
Location
Toronto
Company
IBM

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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