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Added 13 mins ago
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Systems Administrator III
BonLook
New Westminster, BC · Delta, BC
- Full-time
Design, implement, and support Microsoft Azure infrastructure and cloud services
Added 13 mins ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 26 mins ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Experience with cloud-based infrastructure and application deployment (Amazon Web Services, Google Cloud Platform, Azure, etc.).
Added 26 mins ago
C
Solution Designer Generative AI Applications
CIBC
Toronto, ON
- Full-time
…most of the following: Databases (Oracle, SQL Server), Cloud (Azure, AWS), ETL (Informatica, SSIS), and Tools (Tools: source control/issue management: Git, TFS, JIRA, Azure…
Added 26 mins ago
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Business System Analyst
SMARTFOX
Canada
- Full-time
Familiarity with Jira, Confluence, Azure DevOps, or similar
Added 26 mins ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
Experience with distributed systems and cloud‑based data platforms (AWS, Azure, or GCP).
Added 26 mins ago
LS
Senior Full Stack Developer - Permanent - 19536
LRO Staffing
Mississauga, ON
- Full-time
We're looking for a talented and experienced Senior Full Stack Developer to join our growing engineering team. This isn't just another job, it's a chance to work on meaningful products,…
Added 26 mins ago
CG
Senior Manager, Cybersecurity Technology Transformation Services
Cyberium Group
Richmond, BC
- Part-time
Understanding of cloud technology, including Azure and/or AWS
Added 26 mins ago
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AI Architect / Toronto, ON (Hybrid) - FTE
AceStack
Toronto, ON
- Full-time
Experience with Azure AI Services, Azure OpenAI, model hosting, REST APIs, and enterprise integration architecture.
Added 28 mins ago
Principal Cybersecurity Specialist, Incident Response
Questrade Financial Group
Toronto, ON
Added 28 mins ago
Senior Data Engineer
Scotiabank
Toronto, ON
…leadership across large, complex initiatives, with a strong focus on Azure, Databricks, and modern data engineering technologies. This role partners closely with architects, product owners,…
Added 28 mins ago
Data Engineer
MCAP
Waterloo, ON · Toronto, ON
Azure Devops (automated CI/CD), build and release pipelines
Added 43 mins ago
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Senior Microsoft Dynamics CRM Developer
Veriday Inc.
Toronto, ON
- Contract
Veriday is seeking an experienced Senior Microsoft Dynamics CRM Developer / Technical Architect to join our client team based in Toronto for a 6-month contract position with the possibility…
Added 55 mins ago
LK
Interim Vice President, IT Infrastructure & Operations
LHH Knightsbridge
Toronto, ON
- Contract
Operate effectively within a predominantly Microsoft and cloud-based environment, including Microsoft Azure.
Added 55 mins ago
SL
Data Engineer
Staffingine LLC
Toronto, ON
- Contract
We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python. The ideal candidate should have experience…
Added 55 mins ago
LT
Data Engineer & Data Designer
Lorven Technologies Inc.
Toronto, ON
- Full-time
Integrate data from multiple sources, including Azure databases and Oracle databases.
Added 55 mins ago
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Business Systems Developer
Grantek
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 58 mins ago
M
RQ11713 - Software Developer - ETL - Senior
Maarut
Toronto, ON
- Contract
Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI
Added 1 hour ago
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Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
Cross-Cloud Generalist: While we lean heavily on GCP, you maintain the “Generalist Edge” by ensuring solutions can be adapted to Azure or hybrid environments.
Added 1 hour ago
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AI Solutions Architect
Hays
Toronto, ON
- Contract
The role primarily designs AI and agentic solutions on Microsoft Azure, with exposure to Google Cloud Platform where required.
Added 1 hour ago
CS
GEN AI Specialist
Cynet Systems
Montreal, QC
- $50 to $55 CAD / hour
- Contract
Proficiency with AWS (SageMaker), Azure (Azure AI), or GCP (Vertex AI).
Added 1 hour ago
C
C-FIN-275 Software Engineering Intern, AI, Automation and Business Intelligence-EN
CAE
Montreal, QC
- Full-time
You will gain hands-on exposure to Microsoft Copilot, Power Automate, SharePoint, Azure DevOps, Power BI and modern automation solutions. You will also receive mentorship from experienced…
Added 1 hour ago
GT
AML Developer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $85 to $103 CAD / hour
- Contract
Expert knowledge of Python, PySpark, Databricks, Azure, and SQL
Added 1 hour ago
UT
AML Developer IV/Data Scientist #26-25738
US Tech Solutions
Markham, ON
- $90 to $95 CAD / hour
- Contract
Our client is seeking a senior AML Data Scientist / Developer to conduct analytical activities supporting FCRM transaction monitoring systems.
Added 1 hour ago
DI
QA Analyst (Bilingual - Mandarin/ English)
Dawn InfoTek
Toronto, ON
- Contract
Expertise in creating comprehensive test documentation, including test plans, test cases, and defect logs using tools like Jira or Azure DevOps.

AgileGrid Solutions

Senior Data Scientist

Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 9, 2026

Original job description

About The Company

The National Bank of Canada is a leading financial institution committed to providing comprehensive banking solutions to individuals, businesses, and communities across the country. Renowned for its customer-centric approach, innovative services, and strong community involvement, the bank strives to foster long-term relationships built on trust and mutual growth. With a rich history of stability and growth, the bank continuously invests in technology and talent to enhance its offerings and maintain its position as a trusted partner in financial success.

About The Role

We are seeking a highly skilled Senior Data Scientist to join our Western Excellence Center AI and Transformation Delivery team. This role offers an exciting opportunity to work at the forefront of artificial intelligence, machine learning, and data analytics within a dynamic banking environment. As a Senior Data Scientist, you will be responsible for designing, deploying, and operationalizing advanced data science solutions that directly impact client experience, risk management, and operational efficiency. Your expertise will help shape innovative strategies and foster a data-driven culture across the organization. This position requires a strategic thinker with strong technical skills, capable of translating complex business needs into actionable data science projects. The role offers a hybrid work environment with flexible scheduling to support work-life balance and professional development.

Qualifications

The ideal candidate will possess a degree in computer science, engineering, data science, statistics, or a related field, along with 3 to 5 years of experience in delivering production-level analytics or machine 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. Candidates should have a solid understanding of data wrangling, preprocessing, visualization, and ETL processes, utilizing tools like SAS Viya or equivalent platforms. Practical knowledge of model management, CI/CD pipelines, source control, and modern development environments is required. Familiarity with containerization, orchestration, cloud platforms such as Amazon Web Services or Microsoft Azure, and deployment practices is highly desirable. Strong analytical, problem-solving, and communication skills are essential to effectively collaborate with cross-functional teams and stakeholders.

Responsibilities

Frame high-impact analytics and AI projects by collaborating with business partners to clarify needs and translate them into effective data science solutions.
Design, develop, validate, and deploy machine learning, statistical, and generative AI models, including large language models and retrieval-augmented generation techniques.
Perform exploratory data analysis, feature engineering, and model experimentation, presenting insights and recommendations to support strategic decision-making.
Implement robust model lifecycle practices, including monitoring, continuous integration and delivery, issue resolution, and maintaining audit-ready documentation.
Establish and promote best practices, standards, reusable patterns, and comprehensive documentation for models, data lineage, and AI processes.
Support delivery activities such as planning, testing, troubleshooting, demonstrations, and training to facilitate adoption of new methodologies and tools across teams.

Benefits

Joining our team offers competitive compensation along with a comprehensive suite of benefits designed to promote your wellbeing and that of your family. These include a health and wellness program with multiple options, flexible group insurance plans, a generous pension scheme, and an Employee Share Ownership Plan. Additionally, employees have access to an employee and family assistance program, preferential banking services, and involvement in community initiatives. We also provide telemedicine services, a virtual sleep clinic, and ongoing learning opportunities through our Data Academy, language training, Harvard Learning Center, and coaching support. Our flexible work environment and advanced collaboration tools foster a positive employee experience, encouraging innovation, feedback, and continuous development.

Equal Opportunity

The National Bank of Canada is committed to fostering an inclusive environment where diversity is celebrated and all employees are valued. We provide accessible recruitment processes and accommodations for candidates with disabilities to ensure equal opportunities for all. Our core values of partnership, agility, and empowerment underpin our efforts to create a barrier-free workplace. We welcome candidates from all backgrounds and encourage applications from individuals who can bring unique perspectives to our team. Join us in making a positive impact and advancing your career within a people-first organization dedicated to growth, inclusion, and excellence.

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More about this job

Responsibilities

Collaborate with business partners to define high-impact analytics and AI projects, then design, validate, and deploy machine learning, statistical, and generative AI solutions. Manage model lifecycles through monitoring, CI/CD, documentation, troubleshooting, and support for adoption across teams.

Requirements

A degree in computer science, engineering, data science, statistics, or a related field and 3 to 5 years of experience delivering production-level analytics or machine learning solutions are sought. Candidates should have programming and relational database experience, knowledge of data preparation and ETL, and familiarity with model management, CI/CD, source control, and modern development environments; cloud and containerization experience is desirable.

Skills

Python
SQL
Rust
JavaScript
C
C++
SAS
R
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Data Wrangling
Feature Engineering
Model Deployment
CI/CD

Benefits

Health And Wellness Program
Pension Scheme
Employee Share Ownership Plan
Employee And Family Assistance Program
Preferential Banking Services
Telemedicine Services
Virtual Sleep Clinic
Learning Opportunities
Coaching Support

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Data Science
Data Analytics
Generative AI
Large Language Models
Retrieval-Augmented Generation
Statistical Modeling
Python
SQL
Rust
JavaScript
C
C++
SAS
R
Relational Databases
Data Wrangling
Data Preprocessing
Data Visualization
ETL
SAS Viya
Model Management
CI/CD
Source Control
Containerization
Orchestration
Amazon Web Services
Microsoft Azure
Feature Engineering

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