Find work in Canada.

347,596 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 1 hour ago
AM
IOHUB Design Verification Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
…interconnect IP for AMD products, including discrete GPUs, machine learning products, APUs, servers, and game consoles. The global NBIO organization operates seamlessly across China, North…
Added 1 hour ago
A
Senior Manager, AI Strategy & Business Development
Avanade
Toronto, ON
- Full-time
10 or more years of experience across Artificial Intelligence, Machine Learning, Data Science, advanced analytics, or related technology consulting disciplines.
Added 2 hours ago
B
SENIOR BUSINESS ADVISOR, AI
BDC
Montreal, QC
- Full-time
Strong understanding of AI concepts (e.g., machine learning, NLP, generative AI) at a conceptual and applied business level (not hands‑on model development).
Added 3 hours ago
Senior Manager, Document Management Platforms (COR.TRANSFORM)
Symcor
Mississauga, ON
The Senior Manager, COR.TRANSFORM leads the team responsible for implementing, maintaining, and supporting Symcor’s Document Management platforms, ensuring solutions meet business,…
Added 3 hours ago
SE
Manager, DtC (Retail/Ecomm) Data Analytics
Samsung Electronics
Mississauga, ON
- Full-time
Subsidized Cafeteria; including free Starbucks coffee/latte machine
Added 5 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
AI & Machine Learning: Advanced knowledge of LLMs, Vectors, Prompt Engineering, and Model Context Protocol (MCP).
Added 5 hours ago
V
Emerging Niche Sales- Retail, CPG and Manufacturing
Virtusa
Toronto, ON
- Full-time
…transformation services. You should be comfortable speaking with both senior level technology, and non-technology buyers. You can interact at a strategic level, convey complex concepts and…
Added 5 hours ago
OP
Model Developer
Ontario Power Generation
Toronto, ON
- Full-time
Reporting to the Senior Manager, Model Development & Analytics, the Model Developer will build and enhance best-in-class electricity market models and use analytical tools to ensure the…
Added 6 hours ago
M
Senior Software Engineer
Microsoft
Vancouver, BC
- Full-time
Experience developing or integrating AI, machine learning, agentic, or automation technologies to improve engineering, security, or operational workflows.
Added 6 hours ago
SR
Senior Robotics Engineer
Strive Robotics
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Strong technical foundations across several of the following: manipulation, controls, motion planning, perception, state estimation, optimization, machine learning, and software engineering.
Added 6 hours ago
A
Data Scientist
Amyantek
Toronto, ON · Greater Toronto Area, Canada
- Contract
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Added 6 hours ago
RB
Staff Data Scientist, AI Evaluations Platform
Royal Bank of Canada
Montreal, QC
- Full-time
8+ years of experience in data science, applied machine learning, AI evaluation, ML quality, or a related technical field, including experience providing technical leadership and mentorship…
Added 6 hours ago
T
North America Regulatory Consultant
Trulioo
Vancouver, BC
- Full-time
Reporting to the Senior Manager, Enterprise Risk, the North America Regulatory Consultant will be responsible for serving as a subject matter expert on U.S. and Canadian regulatory…
Added 7 hours ago
SI
Senior Software Engineer (Frontend), Search
Scribd, Inc.
Toronto, ON · Vancouver, BC
- Full-time
Discovery Applications is the face of Scribd’s Machine Learning and Discovery Engineering Division. It is dedicated to building the customer-facing web experiences that power our…
Added 8 hours ago
AC
Lead Data Designer
Aviva Canada
Markham, ON
- Full-time
Added 8 hours ago
A
1836 Data Scientist III
Amyantek
Toronto, ON
- Contract
Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
Added 9 hours ago
CO
Principal Associate, Product Management
Capital One
Toronto, ON
- Full-time
Manage and scale data and machine learning platforms across the organization to deliver smart, personalized experiences.
Added 9 hours ago
B
Senior Manager, AI Strategy & Product Management
BMO
Toronto, ON · FCP
- Full-time
Senior Manager – AI Strategy & Product Management
Added 9 hours ago
Lead Data Designer
Aviva
Markham, ON
Added 9 hours ago
HB
Senior Specialist, Data Loss Prevention
HomeEquity Bank
Toronto, ON
- Full-time
Reduce false positive volume through iterative rule refinement, exact data matching, document fingerprinting, machine learning classifiers, and context based conditions
Added 10 hours ago
AT
Senior Python Developer
Altis Technology
Toronto, ON · Greater Toronto Area, Canada
- $135,000 to $155,000 CAD / year
- Full-time
We are assisting our reputable client in the geoscience industry with the search for a Senior Back End Developer (C++/Python).
Added 10 hours ago
S
Artificial Intelligence Consultant
SMARTFOX
Canada
- Full-time
Solid foundations in data and AI: Python, SQL, and an understanding of machine learning and modern LLM techniques
Added 10 hours ago
W
Senior Oracle Apps AI Developer
W3Global
Toronto, ON
- $62 to $78 CAD / hour
- Contract
We are seeking a highly skilled Oracle Apps AI Developer with expertise in Oracle E-Business Suite (EBS), Oracle Cloud Applications, Artificial Intelligence (AI), Machine Learning (ML), and…
Added 10 hours ago
IG
Senior Cloud Engineer
Insight Global
Ottawa, ON · Kanata, ON
- $30 to $60 CAD / hour
- Contract
Experience integrating AI or machine-learning services through APIs.
Added 10 hours ago
Lead Software Developer
Geotab
Toronto, ON · Oakville, ON · Waterloo, ON
…billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety…

Amyantek

Data Scientist

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

Please send your resume at anila.dada@amyantek.com if you are interested in this 12 month contract with Sunlife with a possibility of extension, If you are not interested, please feel free to pass it in your network for anyone looking for work.

Position title: 1837 Data Scientist I

Working Status: Hybrid (3 days on-site with Thursday being the team collaboration day)

Location: 1 York Street, Toronto

Background Check: Reliability Clearance and Tier 2 checks

Manager Notes

Open to recent graduates and candidates with 0-3 years of relevant experience.
Junior role is primarily execution-focused role supporting senior team members, with a narrower project scope (typically one project at a time) and limited to no direct stakeholder interaction.

Role Summary

Reporting to the Director, Data Science, as a 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 attributes:

Fierce curiosity. A successful candidate is drawn to discovering and leveraging new data and taking on challenging business puzzles. An inquisitive mind. Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing. A passion for solving problems. The most successful data scientists’ solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency. Technical skills in both data and computer science. The 3 core technical skills would be: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data and unstructured data. Thirst for learning. A successful candidate is a data scientist who is constantly updating their knowledge of data science state-of-the-art.

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 communi

Required Qualifications:

Bachelor’s degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
0 to 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
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.

Apply About employer

More about this job

Responsibilities

Develop and implement data science and machine learning solutions, including generative AI applications, agents, chatbots, and retrieval systems, to address business problems. Collaborate with cross-functional teams and stakeholders to plan technical work, document designs, communicate findings, and recommend business actions.

Requirements

A bachelor's degree in computer science, statistics, mathematics, or a related field, or equivalent experience, is required, along with 0–3 years of relevant experience. Candidates should have Python, SQL, PySpark, machine learning, GenAI and LLM application development, RAG, data manipulation, API and cloud-native development, and strong communication and problem-solving skills.

Skills

Python
SQL
PySpark
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Prompt Engineering
Feature Engineering
Model Evaluation
Agentic AI
Vector Databases
Embedding Models
API Development
Microservices
Cloud-Native Development

Visa sponsorship

Not detected in the job text

Hiring contact email

anila.dada@amyantek.com

Keywords

Python
SQL
PySpark
Machine Learning
Supervised Learning
Unsupervised Learning
Generative AI
Large Language Models
AI Agents
Chatbots
Agentic AI
LangChain
LangGraph
CrewAI
Retrieval-Augmented Generation
Prompt Engineering
Fine-Tuning
Vector Databases
Embedding Models
Feature Engineering
Model Training
Model Evaluation
Structured Data
Unstructured Data
APIs
Microservices
Cloud-Native Development
AWS SageMaker
AWS Bedrock
AWS Glue

Report this job