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Added 38 mins ago
ES
Delivery Manager / Senior Delivery Manager for Financial Services
EPAM Systems
Toronto, ON
- Full-time
We are seeking a Delivery Manager / Senior Delivery Manager to lead project delivery for our clients in the financial services sector, overseeing multiple Scrum teams and ensuring…
Added 2 hours ago
K
Senior Manager - Senior Tech Lead – AI & Technology Transformation
KPMG
Montreal, QC
- Full-time
Hands-on experience in solution design and development, including Python, REST APIs, system integration, cloud architecture, CI/CD, automated testing, observability, RAG, vector databases,…
Added 2 hours ago
K
Senior Consultant - Agentic developer
KPMG
Montreal, QC
- Full-time
We are looking for a Senior Consultant – Agentic AI and Copilot Development, who will act as a consultant, solution designer, and hands-on technical contributor to support our clients in…
Added 2 hours ago
K
Senior Manager - Senior AI Architect
KPMG
Montreal, QC
- Full-time
Experience with AI services, data engineering, advanced analytics, MLOps/LLMOps, observability, and cloud security.
Added 3 hours ago
M
Cloud and Systems Integration Developer
Maxon
Waterloo, ON · Montreal, QC
- Full-time
Maxon is looking for a mid-level Cloud & Systems Integration Developer to join our Application Integration team within Operations. You'll help design, build, and maintain the cloud…
Added 5 hours ago
N
Senior Software Developer - Networking (Flow)
Nutanix
Vancouver, BC
- $151,000 to $227,000 CAD / year
- Full-time
…virtualize their data centers. Nutanix, a leader in enterprise cloud, is looking for an outstanding Software Developer to join our Software Defined Security product team, Nutanix…
Added 5 hours ago
V
Senior Software Engineer (Rust)
Varonis
Vancouver, BC
- Full-time
The Role: We’re looking for a Senior Software Engineer who is deeply hands‑on, highly technical, and exceptional at building production systems end‑to‑end to join an engineering team whose…
Added 7 hours ago
A(
Senior DevOps Engineer
Arilot (now - Dysnix)
ON · Regional Municipality of York, ON
- Internship
Added 7 hours ago
AI
Java Fullstack Developer – AWS & Capital Markets
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
SENIOR SOFTWARE ENGINEER – JAVA, SPRING BOOT, REACT, AWS & CAPITAL MARKETS
Added 7 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
Oversee architecture and engineering decisions to ensure AI solutions are scalable, secure, maintainable, and aligned to enterprise standards, responsible AI, and least-privilege access.
Added 7 hours ago
CC
Senior Manager, Salesforce Platform Architecture & Development
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · St. John's, NL · Calgary, AB
- Full-time
Job Title: Senior Manager, Salesforce Platform Architecture & Development
Added 9 hours ago
C
C# Senior Developer - OTT Team (French Services) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
- Full-time
Knowledge of Docker, Kubernetes, and Azure cloud is an asset.
Added 9 hours ago
T
Channels Architect
TD
Toronto, ON
- Full-time
…Host to Host and event-driven connectivity across a modern cloud-native…
Added 9 hours ago
IF
Senior Security Advisor (DevSecOps) - Detection Engineering
Intact FC
Montreal, QC · Laval, QC · Saint-Hyacinthe, QC
- Full-time
Intact Insurance is seeking an experienced Senior Security Advisor to strengthen its Detection Engineering in cyber defence team. This role focuses on cloud and infrastructure security,…
Added 10 hours ago
ES
Senior Cloud & Infrastructure Engineer (Azure & Terraform)
EPAM Systems
Canada
- Full-time
We are looking for a senior-level Infrastructure Engineer with deep expertise in Azure Cloud architecture and production-grade Terraform development. You will own the creation,…
Added 10 hours ago
KI
Cloud Engineer 2, Site Reliability Engineering
Kinaxis Inc.
Ottawa, ON
- Full-time
The Site Reliability Engineering team owns the delivery, operation, and monitoring of Kinaxis products and cloud infrastructure in production. We are focused on keeping services reliable,…
Added 11 hours ago
SM
RQ11648 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Business Analyst with extensive experience in business analysis, requirements gathering, requirements management, business process modelling, stakeholder engagement,…
Added 11 hours ago
SM
RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – CRM with strong hands-on experience in Microsoft Dynamics 365, Power Platform, Azure, and Dataverse, along with proven Technical Lead…
Added 11 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking an experienced Senior Systems Testing/QA Specialist with strong expertise in enterprise-level software testing, manual and automated testing, test strategy development, test…
Added 13 hours ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
You will collaborate closely with enterprise architects, applied science leaders, product leaders, and engineering organizations to translate the AI strategy and priorities into scalable…
Added 16 hours ago
MC
Director, FinOps (35690)
Myticas Consulting
BC · British Columbia, Canada
- Full-time
…cadence, and savings targets, while partnering closely with Engineering, Cloud Operations, Product, Finance, and senior…
Added 16 hours ago
ES
Data Technology Consultant - Data & AI Modernization
EPAM Systems
Canada
- Full-time
…and bring strategic advisory plus deep technical know-how to senior client stakeholders across worldwide…
Added 16 hours ago
MC
Technical Business Analyst – Syndigo PIM MDM (35930)
Myticas Consulting
Canada
- Contract
…enterprise platforms including Syndigo, Stibo STEP, Akeneo, and cloud-native…
Added 16 hours ago
MC
Senior QA Engineer III – Automation | Banking | API | Kafka | ETL (35729)
Myticas Consulting
Ottawa, ON
- Full-time
This is a senior, hands-on quality engineering role focused on automation framework development, API and backend testing, Kafka/event-driven testing, ETL and data pipeline validation,…
Added 16 hours ago
MC
Senior Cybersecurity Test Engineer (35651)
Myticas Consulting
Ottawa, ON
- Contract
We are seeking a Senior Cybersecurity Test Engineer to lead and execute security testing activities across applications, infrastructure, cloud environments, APIs, and system integrations.…

Closed listing

AgileGrid Solutions

Senior Data Scientist

Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

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About employer

Job details

Job type: Full-time
Posting language: English
Posted: Oct 10, 2026

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Original job description

Archived listing. The details below describe a past opening.

About The Company

The National Bank of Canada is a leading financial institution committed to providing innovative banking solutions and exceptional customer service. With a rich history and a strong presence across Canada, the bank prides itself on fostering a culture of integrity, collaboration, and continuous growth. Our mission is to help individuals, businesses, and communities thrive by offering tailored financial products and services that meet their unique needs. We emphasize diversity, inclusion, and sustainability as core values, ensuring our organization remains dynamic and forward-looking in a rapidly evolving financial landscape.

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 lead the development and deployment of advanced analytics, machine learning, and artificial intelligence solutions that directly impact our organization’s operations, client experience, and risk management. As a key member of our multidisciplinary team, you will collaborate with various stakeholders to translate complex business needs into innovative data science solutions, utilizing the latest technologies and methodologies. Your expertise will support the bank’s strategic initiatives by designing models, implementing best practices, and ensuring operational excellence in data science projects.

Qualifications

The ideal candidate will hold a degree in computer science, engineering, data science, statistics, or a related field, complemented by 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, with familiarity with platforms like SAS Viya or equivalent. Practical knowledge of model management, CI/CD pipelines, source control, containerization, orchestration, and cloud environments such as AWS or Azure is required. Strong analytical skills, problem-solving abilities, and effective communication are vital for success in this role.

Responsibilities

Frame high-impact analytics and AI mandates by engaging with partners to understand business needs and translating them into actionable 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, communicating insights and recommendations clearly to support strategic decision-making.
Implement comprehensive model lifecycle practices, including deployment, monitoring, issue resolution, performance tracking, and maintaining audit-ready documentation.
Establish and promote best practices, standards, reusable patterns, and documentation practices for models, data lineage, assumptions, and AI processes.
Support delivery activities such as planning, testing, troubleshooting, demonstrations, training, and knowledge transfer to facilitate adoption of new tools and methodologies by teams.

Benefits

Joining our team offers a competitive compensation package along with a comprehensive range of benefits designed to support your well-being and work-life balance. These include a health and wellness program with various options, flexible group insurance plans, and a generous pension plan. Employees are also eligible for the Employee Share Ownership Plan, employee and family assistance programs, and preferential banking services. We encourage participation in community initiatives and provide access to telemedicine services, a virtual sleep clinic, and other innovative health resources. Our flexible work environment, including hybrid work arrangements and adaptable schedules, fosters a positive and productive employee experience. We are committed to continuous development, offering personalized training programs, learning platforms like the Data Academy, language courses, coaching, and mentoring to help you grow professionally and personally.

Equal Opportunity

The National Bank of Canada is dedicated to fostering an inclusive and accessible environment for all employees and candidates. We value diversity and are committed to equitable hiring practices, ensuring that everyone has an equal opportunity to succeed. We strive to provide accommodations throughout the recruitment process and are happy to support candidates with specific needs. Our organization believes that a diverse workforce enhances innovation and drives better decision-making, and we actively promote a culture of inclusion, respect, and empowerment. We welcome applications from individuals of all backgrounds and experiences, and we look forward to welcoming you to our team.

About employer

More about this job

Responsibilities

Translate business needs into data science solutions, and design, validate, and deploy machine learning, statistical, and generative AI models. Manage model lifecycles through monitoring, documentation, and issue resolution, while promoting best practices and supporting adoption through planning, testing, training, and knowledge transfer.

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 practical familiarity with model management, CI/CD, source control, containers, orchestration, and AWS or Azure.

Skills

Python
SQL
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Statistical Modeling
Data Wrangling
Feature Engineering
Exploratory Data Analysis
ETL
Model Deployment And Monitoring
CI/CD
Cloud Computing
Relational Databases
Data Visualization

Benefits

Health And Wellness Program
Pension Plan
Employee Share Ownership Plan
Employee And Family Assistance Programs
Preferential Banking Services
Telemedicine Services
Virtual Sleep Clinic
Flexible Work Environment
Personalized Training Programs
Data Academy
Language Courses
Coaching
Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Advanced Analytics
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Python
SQL
Rust
JavaScript
C
C++
SAS
R
SAS Viya
Relational Databases
Data Wrangling
Data Preprocessing
Data Visualization
ETL
Model Management
CI/CD Pipelines
Source Control
Containerization
Orchestration
AWS
Azure
Feature Engineering
Model Monitoring
Data Lineage

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