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Added 3 hours ago
LL
Business systems analyst
LATENTBRIDGE LTD.
Mississauga, ON
- From $101,000 CAD / year
- Full-time
- On-site
Document technical requirements to ensure that products, processes and solutions meet business requirements
Added 3 hours ago
CS
Software engineering lead
Comncam Solutions Ltd.
Edmonton, AB
- From $36.5 CAD / hour
- Full-time
- Hybrid
Work must be completed both in person and remotely.
Added 3 hours ago
AC
Trader (Blockchain) ON, TO
AP Capital
Toronto, ON
- Full-time
Basic programming or scripting knowledge (Python, SQL, etc.) is a plus
Added 3 hours ago
AS
Senior Data Scientist
AgileGrid Solutions
Canada
- Full-time
…learning solutions. Proficiency in programming languages such as Python, SQL, Rust, JavaScript, C, C++, SAS, or R is essential, along with experience working with relational databases.…
Added 4 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Client: Ministry of Public and Business Service Delivery and Procurement - RQ11622
Added 4 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Client: Ministry of Public and Business Service Delivery and Procurement - RQ11622
Added 4 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Client: Ministry of Public and Business Service Delivery and Procurement - RQ11622
Added 5 hours ago
DE
AI Engineer
Digital Era Management & Technology Inc
Toronto, ON · Greater Toronto and Hamilton Area, ON
- Contract
Node.js and Python for agent containers, orchestrators, gatekeepers
Added 5 hours ago
HB
Manager, Fraud Risk
Haventree Bank
Toronto, ON
- Full-time
Use SQL, Python, and visualization tools (e.g., Tableau) to build dashboards that track key fraud metrics and emerging trends
Added 6 hours ago
G
Product Analyst
GamblingCareers.com
Montreal, QC
- Full-time
…creative divisions within, working alongside other analysts and experts in data analysis. You will encounter a variety of challenges covering the full data work spectrum, from data mining…
Added 8 hours ago
M
GRO Program - Data
Manulife
Toronto, ON
- Full-time
Build reproducible code and data workflows using SQL, Python, and modern data engineering tools.
Added 8 hours ago
T
Business Insights Analyst II
TD
Markham, ON · Toronto, ON · Montreal, QC
- Full-time
Extract, Transform and validate data using SQL, Python, R.
Added 8 hours ago
T
Tooling SME, Product Delivery & Transformation
TD
Toronto, ON
- Full-time
Python & SQL: Proficiency in data analysis, automation, and database querying.
Added 10 hours ago
B
Senior Manager, Credit Risk Strategy Oversight
BMO
Toronto, ON · BMOPLACE
- Full-time
Advanced skills in Python, SQL, SAS, R, or comparable analytical tools; ability to translate complex analysis for senior audiences.
Added 10 hours ago
B
Manager, Credit Risk Strategy Oversight
BMO
Toronto, ON · BMOPLACE
- Full-time
Strong applied experience with analytical tools such as Python, SQL, SAS, or R; ability to translate complex analysis into clear, concise insights for senior audiences.
Added 10 hours ago
M
Manager / Senior Manager, AI Model Risk Governance, Standards & Enablement
Manulife
Halifax, NS · Toronto, ON · Waterloo, ON · Montreal, QC
- Full-time
Practical familiarity with Python, SQL, R, machine learning workflows, or analytics environments.
Added 10 hours ago
AF
Enterprise Senior Software Developer
Armstrong Fluid Technology
Toronto, ON
- Full-time
We are seeking a highly skilled Enterprise Developer to join our enterprise architecture team. This role is ideal for a developer with extensive experience in Python, C#, and .NET projects…
Added 12 hours ago
SI
Senior Data Engineer/ Data Modeler
Spruce InfoTech Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
…Data Modeler with strong expertise in both Data Engineering and Data Modeling. The consultant must have excellent Python and PySpark coding skills, strong SQL/Data Modeling experience, and…
Added 12 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Utilize SQL and data warehousing concepts to manage and analyze data.
Added 12 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Database querying and transformation: dbt, SQL (writing queries, joins, stored procedures)
Added 13 hours ago
DS
Business analyst, informatics
DAMAS SUPERMARKET LTD.
Ottawa, ON
- From $45.13 CAD / hour
- Full-time
- On-site
Document technical requirements to ensure that products, processes and solutions meet business requirements
Added 14 hours ago
SE
Manager, DtC (Retail/Ecomm) Data Analytics
Samsung Electronics
Mississauga, ON
- Full-time
Expertise in SQL, R, Python, C++, Excel (VBA scripting, Macros, Pivot Tables), and PowerPoint with experience in Online Analytical Processing (e.g., Tableau or Power BI).
Added 14 hours ago
R
Senior MuleSoft Integration Developer
RBC
Toronto, ON
- Full-time
We are seeking a Senior MuleSoft Integration Developer to design, develop, and maintain API-based integrations between Salesforce and enterprise systems. You will play a key role in…
Added 14 hours ago
B
Full Stack Engineer (AI-Enabled)
BMO
Calgary, AB · GCS
- Full-time
Build robust microservices and APIs using Java, Node.js, or Python
Added 14 hours ago
B
Developer - Data, AI, Platform & Support
BMO
Toronto, ON · FCP
- Full-time
Experience with SQL, NoSQL, Python , Spark/PySpark, Scala.

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.

Apply About employer

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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