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Added 4 mins ago
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Senior QA Automation Engineer – Java & Playwright
Cognizant
Toronto, ON
- $80,000 to $110,000 CAD / year
- Full-time
Working knowledge of Kafka, MongoDB, and AWS S3.
Added 4 mins ago
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Senior Data Scientist - AI/ML
Akkodis
Toronto, ON
- Contract
Experience with AWS cloud services, including SageMaker, Lambda, Bedrock, and related AI/ML services.
Added 22 mins ago
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Electronic Circuit Automation and DevOps Developer/Engineer
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
Support engineering departments in migrating tools to the cloud (AWS, Azure, Databricks).
Added 22 mins ago
M
Electronic Circuit Automation and DevOps Developer/Engineer
MDA
Sainte-Anne-de-Bellevue, QC
- Full-time
Support engineering departments in migrating tools to the cloud (AWS, Azure, Databricks).
Added 22 mins ago
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Senior Software Engineer
Pebl
Remote, Canada
- $122,835 to $180,000 CAD / year
- Full-time
- Remote
Build and operate backend (micro)services in TypeScript or Python, Postgres, and AWS, deployed on Kubernetes, including clean contracts and APIs that support agentic workflows. Occasionally…
Added 35 mins ago
O
Lead Software Developer (OCP Platform)
OpenText
Richmond Hill, ON
- Full-time
As a Lead software developer in this team you will be contributing to:
Added 35 mins ago
GU
AI Agentic Systems & Automation Engineer
GenCore Utilities Ltd.
Markham, ON
- $100,000 to $140,000 CAD / year
- Full-time
Experience with Azure AI Foundry, AWS, or similar cloud AI platforms.
Added 50 mins ago
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Software Developer
SMARTFOX
Canada
- Full-time
Deploy on AWS, Azure, or GCP using Docker and CI/CD pipelines so releases are routine, not stressful
Added 52 mins ago
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Senior Software Engineer, Operations
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
Experience working with cloud hosted applications / servers on AWS.
Added 52 mins ago
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Senior Manager, Data Engineer, Applied AI Data Ingestion & Integration
BMO
Toronto, ON · FCP
- Full-time
Added 1 hour ago
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Senior Python Developer
Lorven Technologies Inc.
Toronto, ON
- Contract
Develop cloud-native applications (AWS preferred)
Added 1 hour ago
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Senior ETL Developer
Teckhorizon Inc
Toronto, ON
- $100 USD / hour
- Contract
Our Client is looking for an experienced Senior ETL Developer to design, develop, and maintain enterprise data pipelines, data warehouses, and Business Intelligence solutions. The ideal…
Added 1 hour ago
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Business System Analyst
MethodHub
Vancouver, BC
- Contract
Role: Senior Business Systems Analyst (BSA) – Infrastructure & Developer Platform
Added 1 hour ago
NB
DevSecOps Technical Lead, Cryptography
National Bank of Canada
Montreal, QC
- Full-time
Experience with Amazon Web Services (AWS) certificate management services, including AWS Private Certificate Authority and AWS Certificate Manager, or equivalent technologies.
Added 1 hour ago
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DevOps Engineer
SWTCH Energy Inc.
Remote, Canada
- Full-time
- Remote
Build and extend our toolchain, including AWS (Lambda, ElastiCache, CloudFront, CodePipeline, SSM), Terraform, CloudFormation, Ansible, and shell scripting.
Added 1 hour ago
Associate Technical Services Engineer II
MongoDB
Toronto, ON
…and load balancers), as well as cloud-based resources (e.g. AWS, Azure, Google Cloud…
Added 1 hour ago
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Senior Staff Developer
Benevity
Remote, Canada
- $137,800 to $179,080 CAD / year
- Full-time
- Remote
As a DevEX Senior Staff Developer at Benevity, you will lead Developer Experience and SDLC modernization across our technology organization. Sitting at the intersection of hands-on platform…
Added 1 hour ago
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Senior Staff Developer
Benevity
Remote, Canada
- Full-time
- Remote
As a DevEX Senior Staff Developer at Benevity, you will lead Developer Experience and SDLC modernization across our technology organization. Sitting at the intersection of hands-on platform…
Added 1 hour ago
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Software Engineer, Streaming Platform
Sentry
Remote, Canada
- $163,000 to $200,000 CAD / year
- Full-time
- Remote
…intersection of distributed systems, real-time data processing, and developer experience. You will help us create a self-service streaming platform that improves stability, accelerates time…
Added 1 hour ago
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DevOps Engineer
SWTCH
Toronto, ON
- Full-time
Build and extend our toolchain, including AWS (Lambda, ElastiCache, CloudFront, CodePipeline, SSM), Terraform, CloudFormation, Ansible, and shell scripting
Added 1 hour ago
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IT Operations Analyst IV
TD
Toronto, ON
- Full-time
Added 1 hour ago
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Machine Learning Engineer
IMCS Group
ON · Ontario, Canada
- Contract
We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 6+ years of overall IT experience and strong expertise in building, deploying, and operationalizing…
Added 1 hour ago
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Application Developer
Systematix
Toronto, ON
- Contract
We are Systematix and we are currently seeking an intermediate level Developer with expertise in either Java or Python, or both, for one of our Financial Services clients. This role is…
Added 1 hour ago
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Java API Developer
BMO
Toronto, ON · BMOPLACE
- Full-time
3+ years experience as a Java developer and API developer, following SDLC and enterprise methodologies for clean secure code (By the book)
Added 2 hours ago
Dev Ops Engineer (Student Position)
The Canada Life Assurance Company
Toronto, ON
Cloud Technologies: AWS, Microsoft Azure, Google Cloud Platform (GCP)

Hays

Data Scientist

ON, Canada
Ontario, Canada, Canada

$60 to $62 CAD / hour · Contract

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Job details

Pay: $60 to $62 CAD / hour
Job type: Contract
Apply by: Nov 8, 2026
Experience: 0-3+ years’ experience in developing and implementing data science techniques
Posting language: English
Posted: Oct 9, 2026

Original job description

Job Details:

Job Title: Data Scientist

Location: Toronto, ON (Hybrid 3 days onsite)

Duration: 12 Months contract with possibility of extension

Pay Rate: $60-62/Hour CAD on INC

Job Description:

Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

Key Responsibilities:

Data Science and Machine Learning

Translate business goals into analytical problems; Identify optimal algorithms, statistical techniques and/or GenAI architecture suitable for the business problem at hand
Work in cross-functional teams to develop ML/data science products, including GenAI applications
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs

GenAI & Agentic AI Development

Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems
Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.)
Implement AI bots/agents with advanced reasoning capabilities and tool use patterns
Work with vector databases and embedding models to build intelligent information retrieval systems

Technical Leadership & Collaboration

Break down broader data science development milestones into actionable goals, activities, and work plans
Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations
Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders
Champion continuous improvement and foster innovation within the analytics communications.

Required Qualifications:

Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
0-3+ years’ experience in developing and implementing data science techniques
Proficient in Python for data science and GenAI application development
Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources
Proficiency in machine learning including supervised and unsupervised models
Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data
Strong understanding of APIs, microservices architecture, and cloud-native development
Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities
Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologies and familiarity with vector databases and embedding models
Experience with chatbot development concepts and conversational AI design
Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
Effective and concise oral and written storytelling and insights communication skills
Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
Proven ability to mentor and guide junior data scientists and data engineers
Strong problem-solving abilities and analytical skills with keen attention to detail

Nice to Have:

Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality, and AWS Step Functions.

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More about this job

Responsibilities

Translate business goals into analytical problems and develop, evaluate, and implement data science and machine learning solutions, including generative AI applications. Design and deploy AI agents and retrieval systems, collaborate with stakeholders, create technical design artifacts, and communicate recommendations and findings.

Requirements

Requires a bachelor's degree in computer science, statistics, mathematics, or a related field, or equivalent experience, along with experience developing data science techniques. Candidates should have Python, SQL, PySpark, machine learning, and hands-on generative AI and LLM application experience, as well as strong communication, problem-solving, and project management skills.

Skills

Python
SQL
PySpark
Machine Learning
Supervised Learning
Unsupervised Learning
Generative AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
AI Agents
LangChain
LangGraph
CrewAI
Vector Databases
AWS

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Generative AI
Artificial Intelligence Agents
Chatbots
Autonomous Systems
Python
SQL
PySpark
Supervised Learning
Unsupervised Learning
Feature Engineering
Model Training
Model Evaluation
Prompt Engineering
Large Language Models
Retrieval-Augmented Generation
LangChain
LangGraph
CrewAI
Vector Databases
Embedding Models
APIs
Microservices
Cloud-Native Development
AWS SageMaker
AWS Lambda
AWS Bedrock
AWS Glue
Data Warehousing

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