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Added 5 mins ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Facilitate requirements gathering through Joint Application Development (JAD) sessions, interviews, mock-ups, and other techniques.
Added 5 mins ago
SM
RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 5 mins ago
SM
RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 5 mins ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Facilitate requirements gathering through Joint Application Development (JAD) sessions, interviews, mock-ups, and other techniques.
Added 5 mins ago
SM
RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 5 mins ago
SM
RQ11518 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 5 mins ago
SM
RQ11518 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 5 mins ago
SM
RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Facilitate requirements gathering through Joint Application Development (JAD) sessions, interviews, mock-ups, and other techniques.
Added 5 mins ago
SM
RQ11518 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 5 mins ago
SM
RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 5 mins ago
SM
RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 5 mins ago
SM
RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 5 mins ago
SM
RQ11723 – Solutions Designer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…accessibility compliance, technical documentation, testing, and application enhancements while ensuring alignment with business requirements, architecture frameworks, security standards,…
Added 5 mins ago
SM
RQ11723 – Solutions Designer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…accessibility compliance, technical documentation, testing, and application enhancements while ensuring alignment with business requirements, architecture frameworks, security standards,…
Added 5 mins ago
SM
RQ11723 – Solutions Designer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…accessibility compliance, technical documentation, testing, and application enhancements while ensuring alignment with business requirements, architecture frameworks, security standards,…
Added 21 mins ago
PC
Deals Contracts & Closing Mechanism Manager
Pwc Canada
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the…
Added 36 mins ago
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HR Business Leader, Canada
Takeda
Toronto, ON · CAN - Toronto Head Office
- Full-time
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Community Manager
Park Property Management
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- $52,000 to $65,000 CAD / year
- Full-time
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- $27 to $30 CAD / hour
- Full-time
By submitting your application through email you agree to the following:
Added 51 mins ago
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- $25.77 to $26.77 CAD / hour
- Full-time
By submitting your application you agree to the following:
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ON
- $90,000 to $125,000 CAD / year
- Full-time
By submitting your application you agree to the following:
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- $38 to $40 CAD / hour
- Full-time
By submitting your application, you agree to the following:
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Controller
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- Full-time
By submitting your application, you agree to the following:
Added 51 mins ago
Licensed Practical Nurse (LPN)
Edgewood Health Network Inc
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Artificial intelligence (AI) may be used to screen, assess, or select applicants for this position by analyzing application materials and generating recommendations to support human…
Added 1 hour ago
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- Full-time
…down-hole tool electronics and other equipment used in the application for down-hole tools, including Directional/ RSS and/or M/LWD sensors. Responsible for ensuring duties are performed in…

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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