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Added 57 mins ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
BS or Ms in Electrical , Software, Mechatronics or Mechanical Engineering
Added 57 mins 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 3 hours ago
N
Senior Software Developer - Networking (Flow)
Nutanix
Vancouver, BC
- $151,000 to $227,000 CAD / year
- Full-time
Nutanix engineers are creating a revolutionary technology, building the software-defined data center. We’re using our love of programming and outstanding backgrounds to change the way…
Added 3 hours ago
V
QA Engineer
Varonis
Vancouver, BC
- Full-time
Varonis (Nasdaq: VRNS) secures AI and the data that powers it. The Varonis platform gives organizations automated visibility and control over their critical data wherever it lives and…
Added 6 hours ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience
Added 6 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
BS or Ms in Electrical , Software, Mechatronics or Mechanical Engineering
Added 6 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 7 hours ago
ES
Compute Platform SRE Lead
EPAM Systems
Canada
- Full-time
Handle service requests, configuration updates, and audit-related data extracts.Develop and update Standard Operating Procedures (SOPs) for infrastructure operations
Added 8 hours ago
RB
Senior MuleSoft Integration Developer
Royal Bank of Canada
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 8 hours ago
SM
RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Knowledge and experience in the use of Computer Aided Software Engineering (CASE) tools and data query tools to aid in the development of test cases.
Added 10 hours ago
G
Product Analyst
GamblingCareers.com
Montreal, QC
- Full-time
Implement in-game tracking and producing end-to-end data pipelines that empower end users alongside the data engineering team
Added 11 hours ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
The Enterprise Data & AI organization is a strategic and operational driver of growth for lululemon, owning and building the data and AI platforms and services that enable the enterprise to…
Added 12 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
BS or Ms in Electrical , Software, Mechatronics or Mechanical Engineering
Added 13 hours ago
RF
Senior Platform Engineer
Rodeo FX
Montreal, QC
- Full-time
Strong Python skills, with solid software engineering practices (version control, testing, code review, packaging).
Added 13 hours ago
CG
Manager, Risk Modelling
Canada Guaranty
Toronto, ON
- $100,000 to $130,000 CAD / year
- Full-time
Evaluate credit bureau scores and attributes, other internal and external credit-related data sources, and identify opportunities to enhance the adjudication model and strategy, and…
Added 14 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 14 hours ago
MC
Coherent Optical Systems Engineer (35886)
Myticas Consulting
Ottawa, ON · Kanata, ON
- Full-time
This role requires close collaboration across optical, digital, high-speed analog, ASIC, software, and systems engineering teams. A key aspect of the position is the ability to understand…
Added 14 hours ago
MC
AI Platform Engineer (35577)
Myticas Consulting
Toronto, ON
- Contract
Degree in Computer Science, Engineering, or a related field.
Added 14 hours ago
SK
Senior Data Scientist
Sokoni Kwetu
London, ON
- Full-time
…clients’ core business processes.About the roleAs a Senior Data Scientist, you will lead high-impact AI projects and shape the technical direction of bespoke solutions for some of the most…
Added 14 hours ago
C
Manager AI Engineering-CA
CN
Quebec, QC
- Full-time
…intelligence (AI) solutions that support CN's next generation of data, analytics, automation, and agentic capabilities. The role translates business opportunities into production-grade AI…
Added 14 hours ago
MC
Network Engineer (35135)
Myticas Consulting
Ottawa, ON
- Full-time
The Network Service Engineer will work closely with Commercial, Product, Sales Engineering, Customers, Network Engineering, and external contractor teams to provide technical guidance on…
Added 15 hours ago
NB
Chief Developer in Data Engineering
National Bank of Canada
Montreal, QC
- Full-time
a Chief Developer in Data Engineering within the Data Strategy team in the
Added 16 hours ago
FV
Full-stack Developer
Fred Victor
Toronto, ON
- Full-time
We are seeking a skilled, proactive, and versatile Full Stack Application Developer to take ownership of our technical application portfolio.
Added 16 hours ago
K
Process Design Engineer/Analyst
Kinectrics
Toronto, ON
- Full-time
…Trusted by clients worldwide, our employees provide expertise in engineering, testing, and inspection across a wide range of services. With offices worldwide and independent laboratories…
Added 18 hours ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Field of Study: Computer Science, Software Engineering, Health Informatics, or a related field, or equivalent professional experience

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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