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Added 22 mins ago
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Member of Technical Staff
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Leverage and contribute to relevant open-source cloud native projects.
Added 22 mins ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Develop cloud-native solutions utilizing Azure Functions, Logic Apps, API Management, App Services, Storage Services, and Key Vault.
Added 22 mins ago
C
DevOps Consultant – Application Release & Platform Operations
CGI
Halifax, NS
- Full-time
Support cloud-native and hybrid infrastructure across AWS, Microsoft Azure, and Google Cloud Platform.
Added 38 mins ago
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Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
…500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting…
Added 1 hour ago
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Consultant Specialist, Collateral Treasury
HSBC
Toronto, ON
- Full-time
Build cloud-native applications on Google Cloud Platform (GCP) with strong understanding of deployment patterns, scalability, resilience and managed services
Added 1 hour ago
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Quality Assurance Intern
Ericsson
Montreal, QC
- Full-time
Vous participerez à l'automatisation de la vérification d'un produit de télécommunication cloud-native.
Added 1 hour ago
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EQXJP00005574 Technology Program Management Senior Staff_CAN
Equinix
Toronto, ON
- $70 to $80 CAD / hour
- Contract
We are looking for AI-native Technical Program Managers (TPMs) who are proficient in prompt engineering and hands-on with Rovo, Claude, and other GenAI platforms. Candidates should be able…
Added 1 hour ago
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Data Scientist
Amyantek
Toronto, ON · Greater Toronto Area, Canada
- Contract
Strong understanding of APIs, microservices architecture, and cloud-native development
Added 1 hour ago
FP
Software Engineer
Found People Inc.
Toronto, ON
- $110,000 to $140,000 CAD / year
- Full-time
You'll build AI-native applications, backend systems and data-driven tools used directly by investment professionals to analyze information, evaluate opportunities and make better business…
Added 3 hours ago
KG
DevOps Platform Engineer | AI & LLMOps Infrastructure
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
…foundational infrastructure that powers our next-generation developer platforms and autonomous AI/LLM agent frameworks. This is a highly specialized role bridging the gap between advanced…
Added 3 hours ago
CO
Senior Software Developer
City of Winnipeg
Winnipeg, MB
- Full-time
Reporting to the Coordinator of Data & Applications, the Senior Software Developer leads the conception and development of complicated and more in-depth software solutions that harmonize…
Added 3 hours ago
DG
Specialist, Application Support
Doane Grant Thornton LLP
Toronto, ON
- Full-time
Familiarity with DevOps or cloud-native support models
Added 3 hours ago
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1836 Data Scientist III
Amyantek
Toronto, ON
- Contract
Strong understanding of APIs, microservices architecture, and cloud-native development
Added 3 hours ago
Senior Back-end Java Developer
WestJet Group
Calgary, AB
Java 21 experience, Spring Boot 3.x, microservices, Kubernetes/OpenShift/AKS, cloud-native architecture or Java 17 experience with a demonstrated ability to modernize applications.
Added 4 hours ago
Senior Backend Engineer II - Patient Experience
Prenuvo
Vancouver, BC
…patient-facing APIs behind our patient dashboard (web) and native mobile apps (iOS and…
Added 5 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 5 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Toronto, ON
- $96,557 to $128,743 CAD / year
- Full-time
What this role is and is not: This is a hands-on full-stack developer role with some upfront solution design and architecture responsibilities. Most of your time will be spent building,…
Added 5 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Calgary, AB
- $96,557 to $128,743 CAD / year
- Full-time
What this role is and is not: This is a hands-on full-stack developer role with some upfront solution design and architecture responsibilities. Most of your time will be spent building,…
Added 5 hours ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Montreal, QC
- $96,557 to $128,743 CAD / year
- Full-time
What this role is and is not: This is a hands-on full-stack developer role with some upfront solution design and architecture responsibilities. Most of your time will be spent building,…
Added 5 hours ago
T
Full Stack Engineer
TEEMA
Toronto, ON
- $70 to $75 CAD / hour
- Contract
We are looking for a Senior Full Stack Developer to join a collaborative Agile technology team building and enhancing cloud-native applications.
Added 5 hours ago
IG
Senior Cloud Engineer
Insight Global
Ottawa, ON · Kanata, ON
- $30 to $60 CAD / hour
- Contract
The successful candidate will work within a cross-functional Agile team to build cloud-native services, data integrations, user-facing capabilities, and platform observability solutions…
Added 5 hours ago
C
QA Automation Engineering – UI & API
CGI
Toronto, ON
- Full-time
Experience testing applications across both on-premises and cloud-native environments.
Added 6 hours ago
A
Senior Data Scientist - AI/ML
Akkodis
Toronto, ON
- Contract
Experience with APIs, microservices architecture, and cloud-native applications.
Added 6 hours ago
P
Senior Software Engineer
Pebl
Remote, Canada
- $122,835 to $180,000 CAD / year
- Full-time
- Remote
…Senior Full-Stack AI Engineer who wants to help define what AI-native software looks like, not follow a playbook that doesn’t exist…
Added 7 hours ago
C
Application Development Senior Manager - Vice President
Citi
Mississauga, ON
- Full-time
…ensuring scalability, resilience, and maintainability using cloud native infrastructure and openshift or Kubernates architecture including CI/CD…

Amyantek

1836 Data Scientist III

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Nov 8, 2026
Experience: 5+ years’ experience in developing and implementing data science techniques
Posting language: English
Posted: Oct 9, 2026

Original job description

Position title: 1836 Data Scientist III

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

Client: SunLife

Contract Duration: 12 months

Location: 1 York Street, Toronto

Background Check: Reliability Clearance and Tier 2 checks

Role Summary

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 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
5+ 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 design, develop, and deploy data science, machine learning, and generative AI solutions, including agents, chatbots, and retrieval systems. Lead technical planning and collaboration, communicate findings and recommendations to stakeholders, and support continuous improvement and innovation across the analytics community.

Requirements

Requires a bachelor’s degree in computer science, statistics, mathematics, or a related field (or equivalent experience), plus at least five years of experience developing and implementing data science techniques. Candidates need strong Python, SQL, PySpark, machine learning, and generative AI expertise, along with experience in RAG, LLM APIs, cloud-native systems, stakeholder communication, and mentoring.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

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

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