Jobs in Canada

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Added 2 hours ago
AS
Senior Data Scientist
AgileGrid Solutions
Canada
- Full-time
…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,…
Added 13 hours ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
…genuine business value. Candidates are not expected to have a research background in machine learning. We are looking for engineers who have implemented LLM-based functionality, understand…
Added 16 hours ago
A
Data Scientist
Amyantek
Toronto, ON · Greater Toronto Area, Canada
- Contract
…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…
Added 17 hours ago
ET
Demand Generation Manager
ExcelSense Technologies Corp.
Vancouver, BC
- Full-time
Initially lead trade show operations and logistics with support from ExcelSense’s operations and logistics team. As the marketing team expands, these responsibilities will transition to…
Added 18 hours ago
A
1836 Data Scientist III
Amyantek
Toronto, ON
- Contract
…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…
Added 19 hours ago
B
Senior Manager, AI Strategy & Product Management
BMO
Toronto, ON · FCP
- Full-time
Lead product discovery and prioritization by integrating client research, analytics, market intelligence, business objectives, and technical considerations into actionable product…
Added 20 hours ago
TV
Technical Business Development Director
TandemLaunch Ventures Studio & Funds
Montreal, QC
- Full-time
…innovations in consumer electronics, hardware-enabled technologies, machine learning, and embedded systems, working directly with researchers from major university labs. We are one of very…
Added 20 hours ago
TV
Director of Product Strategy and Commercialization
TandemLaunch Ventures Studio & Funds
Montreal, QC
- Full-time
…innovations in consumer electronics, hardware-enabled technologies, machine learning, and embedded systems, working directly with researchers from major university labs. We are one of very…
Added 20 hours ago
Lead Software Developer
Geotab
Toronto, ON · Oakville, ON · Waterloo, ON
…billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety…
Added 20 hours ago
Directeur de la stratégie produit et de la commercialisation | Director of Product Strategy and Commercialization
TandemLaunch
Montreal, QC
Added 21 hours ago
ES
Experience Designer II - A-Team
EA SPORTS
Vancouver, BC
- Full-time
We are a cross-functional, applied R&D team, strategically positioned in EA to drive and disrupt the future of character animation technology. We are a self-motivated, collaborative team,…
Added 21 hours ago
IC
Triton Compiler Engineering Manager
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
…developers to create highly optimized GPU kernels that power modern machine learning frameworks and…
Added 21 hours ago
Sales Representative Intern (Sep-Dec 2026)
ProCogia
Vancouver, BC
Currently enrolled in or recently completed a Bachelor’s, Master’s, or PhD program in Computer Science, Machine Learning, AI, Data Science, Computational Linguistics, or a related field.
Added 21 hours ago
JI
Senior Data Scientist
J.D. Irving, Limited
Saint John, NB
- Full-time
The Senior Data Scientist is a collaborative member of the Analytics team who creates value from data. They’re focused on identifying opportunities to drive value through advanced…
Added 22 hours ago
I
Triton Compiler Engineering Manager
Intel
Toronto, ON
- Full-time
…developers to create highly optimized GPU kernels that power modern machine learning frameworks and…
Added 22 hours ago
T
Senior Product Manager (KYC - Fraud & Risk)
Trulioo
Remote, Canada
- Full-time
- Remote
…You will work at the intersection of identity verification, machine learning, compliance, and financial services, directly shaping how global enterprises onboard customers, detect synthetic…
Added 22 hours ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Familiarity with building and training machine learning models (e.g., regression, classification, clustering) using frameworks like Scikit-learn, TensorFlow, or PyTorch.
Added 23 hours ago
Q
Technical Lead – Treasury
Quantiphi
Toronto, ON · CA ON Toronto
- Full-time
…them to a culture built on transparency, diversity, integrity, learning and…
Added 23 hours ago
CC
IT Support Technician
Coca-Cola Canada Bottling Limited
Montreal, QC
- Full-time
We are recruiting for an IT Support Technician to join our Information Technology team. The IT Support Technician serves as an on-site technical resource dedicated to the Lachine Coca-Cola…
Added 1 day ago
GT
AML Developer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $85 to $103 CAD / hour
- Contract
…requirements, including data analysis and model development. The team consists of 16 people and operates in a very collaborative culture. This is a senior lead role requiring the ability to…
Added 1 day ago
Experience Designer II - A-Team
Electronic Arts
Vancouver, BC
We are a cross-functional, applied R&D team, strategically positioned in EA to drive and disrupt the future of character animation technology. We are a self-motivated, collaborative team,…
Added 1 day ago
NC
Quantitative Developer
Nymbus Capital
Montreal, QC
- Full-time
Lead AI-native development: Evolve how the team works with AI coding agents (repository context, guardrails, automated testing and review workflows) to ship faster without lowering the bar.
Added 1 day ago
TI
Data Scientist
TekStaff IT Solutions
Toronto, ON
- Contract
…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…
Added 1 day ago
NC
Quantitative Developer
Nymbus Capital
Montreal, QC
- Full-time
Lead AI-native development: Evolve how the team works with AI coding agents (repository context, guardrails, automated testing and review workflows) to ship faster without lowering the bar.
Added 1 day ago
IT Support Technician
CONA Services
Montreal, QC · Lachine, QC
We are recruiting for an IT Support Technician to join our Information Technology team. The IT Support Technician serves as an on-site technical resource dedicated to the Lachine Coca-Cola…

AgileGrid Solutions

Senior Data Scientist

Canada

Full-time

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Job details

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

Original job description

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.

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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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