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Added 1 hour ago
HT
Staff Software Engineer, AI
Hudson Talent Solutions
Toronto, ON
- Full-time
This is a senior technical leadership role focused on building production-grade AI systems, RAG architectures, agent-based workflows, and LLM-powered applications that support legal, tax,…
Added 3 hours ago
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Senior Member of Technical Staff (Applied AI) (Toronto)
Solstice
Toronto, ON
- Full-time
SENIOR MEMBER OF TECHNICAL STAFF (APPLIED AI)
Added 3 hours ago
AS
Senior Data Scientist
AgileGrid Solutions
Canada
- Full-time
We are seeking a highly skilled Senior Data Scientist to join our Western Excellence Center AI and Transformation Delivery team at the National Bank of Canada. This role offers an exciting…
Added 6 hours ago
SE
Manager, MX Sales Platform
Samsung Electronics
Mississauga, ON
- Full-time
Subsidized Cafeteria; including free Starbucks coffee/latte machine
Added 6 hours ago
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Medical Director One Rare
Sanofi
Toronto, ON
- Full-time
The Medical Director One Rare is a senior medical leader within the Sanofi Specialty Care Canada Medical Affairs team. This individual will define and drive the medical strategy and…
Added 6 hours ago
S
Patient Experience iCare Exchange Integrations Engineer
Sanofi
Toronto, ON
- Full-time
Ability to influence senior leadership and navigate complex stakeholder environments.
Added 7 hours ago
T
R&D Engineer- Data Scientist
Tenova
Mississauga, ON
- Full-time
…building, evaluating, tuning, and deploying predictive and machine learning models for manufacturing process control, optimization, and…
Added 8 hours ago
ET
Sr. Embedded DSP Engineer
ESS Technology, Inc.
Kelowna, BC
- Full-time
Experience with AI or machine-learning based audio algorithms is highly desirable, including noise reduction, echo cancellation, wake-word detection, voice enhancement, source separation,…
Added 8 hours ago
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Senior Director, Program Delivery
RBC
Toronto, ON
- Full-time
As a member of RBC Borealis AI, reporting to the VP, Solutions Engineering & Delivery, the Senior Director, Program Delivery will lead the strategic planning, execution, and governance of…
Added 8 hours ago
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Senior AI/ML Engineer
RBC
Toronto, ON
- Full-time
Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch).
Added 8 hours ago
R
Lead Full Stack Developer
RBC
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 8 hours ago
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AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
5+ years experience as a member of a data science, machine learning / AI engineering, or other relevant software development team building applied machine learning products at scale,…
Added 11 hours ago
S
Medical Director One Rare
Sanofi
Toronto, ON
- $144,100 to $208,166.66 CAD / year
- Full-time
The Medical Director One Rare is a senior medical leader within the Sanofi Specialty Care Canada Medical Affairs team. This individual will define and drive the medical strategy and…
Added 12 hours ago
C
Senior Data Scientist – Life and Health
Co-operators
Calgary, AB · Moncton, NB · Burlington, ON · Guelph, ON · Mississauga, ON · Ottawa, ON · Regina, SK
- Full-time
The Senior Data Scientist provides dedicated advanced analytics leadership within the Group Benefits Pricing, Reporting and Analytics team. The role focuses on enhancing actuarial…
Added 13 hours ago
PA
Senior Developer, Data
Porter Airlines Inc.
Toronto, ON
- Full-time
Reporting to the Director, Decision Intelligence and Emerging Technologies, the Senior Developer, Data provides technical leadership and hands-on expertise in designing, building, and…
Added 14 hours ago
M
Senior Full Stack Software Engineer - Capital Markets
Manulife
Toronto, ON
- Full-time
Senior Full-Stack Engineer – Capital Markets & Derivatives
Added 14 hours ago
IF
Actuarial Analyst - 4 Month Co-Op/Internship (Winter 2027,Summer 2027 & Fall 2027)
Intact FC
Laval, QC · Montreal, QC · Quebec, QC · Saint-Hyacinthe, QC
- Full-time
Contribute to innovation initiatives (machine learning, customer experience, telematics, climate change) to analyze and improve pricing models in personal and commercial insurance.
Added 15 hours ago
B
Sales Technology Excellence and Enablement Specialist
BD
Mississauga, ON · CAN Mississauga - Derry Road West
- Full-time
Work collaboratively with stakeholders at all levels within the organization ranging, from business users to senior management.
Added 16 hours ago
QP
Manager, AI Delivery
QuadReal Property Group
Calgary, AB · Vancouver, BC · Toronto, ON
- Full-time
…workflows connected to our core platforms. The team is small and senior, spanning AI architecture, engineering, business analysis, program management and business engagement, and it moves…
Added 16 hours ago
I
IMPONEXPO BUILDER COHORT
ImpoNexpo
Toronto, ON
- Full-time
You may be a senior engineer, AI researcher, product designer, technical founder, data specialist, research engineer, open-source contributor or an unusually capable emerging talent.
Added 16 hours ago
CO
Senior Manager, Software Engineering
Capital One
Toronto, ON
- Full-time
…We challenge the traditional bank stereotype by integrating machine learning, conversational AI and design thinking into our core operations. We're a bank a tech company would build, where…
Added 16 hours ago
H-
Sales Manager (AI Solutions)
HeitechSoft - AI Business Solutions
Cambridge, ON
- Full-time
…and a practical understanding of AI concepts (Generative AI + Machine Learning), this is your opportunity to build a legacy with a company on a fast track…
Added 18 hours ago
M
Senior Data Analyst I, Product
Mistplay
Toronto, ON
- Full-time
Au sein du service des données de Mistplay, l'analyste de données sénior I, Produit jouera un rôle crucial dans l'amélioration de la performance commerciale de Mistplay grâce à une analyse…
Added 19 hours ago
E
Senior Analyst, Data Engineering & AI
Experis
Canada
- Contract
Exposure to AI, Machine Learning, Generative AI, or Agentic AI solutions.
Added 20 hours ago
TR
Principal Product Manager, Content Transformation
Thomson Reuters
Toronto, ON
- Full-time
Apply technologies including Generative AI, agentic workflows, machine learning, workflow automation, and orchestration platforms to solve complex content challenges.

AgileGrid Solutions

Senior Data Scientist

Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 3, 2026

Original job description

About The Company

The National Bank of Canada is a leading financial institution committed to delivering innovative banking solutions and exceptional customer service. With a rich history of serving individuals, businesses, and communities across Canada, the bank prides itself on its strong values of partnership, agility, and empowerment. As a people-first organization, it fosters a collaborative and inclusive environment that encourages continuous growth, development, and community involvement. The bank’s focus on technological advancement and digital transformation positions it as a forward-thinking leader in the financial sector, dedicated to creating positive impacts on the lives of its clients and employees alike.

About The Role

We are seeking a highly skilled Senior Data Scientist to join our Western Excellence Center AI and Transformation Delivery team at the National Bank of Canada. This role offers an exciting opportunity to work at the forefront of artificial intelligence and data analytics, leveraging advanced machine learning techniques to enhance client experiences, optimize risk management, and improve operational efficiencies. As a key member of our multidisciplinary team, you will be responsible for designing, deploying, and operationalizing complex data science solutions that support strategic decision-making and innovation within the organization. Your expertise will directly contribute to the bank’s digital transformation initiatives, enabling us to stay ahead in a competitive landscape.

Qualifications

The ideal candidate will possess a degree in computer science, engineering, data science, statistics, or a related field, complemented by three to five years of hands-on experience in delivering production-level analytics or machine learning solutions. Strong programming skills are essential, with proficiency in languages such as Python, SQL, Rust, JavaScript, C, C++, SAS, or R. Experience working with relational databases and data wrangling, preprocessing, and visualization tools like SAS Viya or equivalent platforms is required. Familiarity with model management, continuous integration and delivery pipelines, source control, and modern development environments is also necessary. Additionally, practical knowledge of containerization, orchestration, cloud platforms such as Amazon Web Services or Microsoft Azure, and deployment practices in production environments will be highly advantageous.

Responsibilities

Collaborate with business partners to define high-impact analytics and AI projects, translating business needs into actionable data science solutions.
Design, develop, validate, and deploy machine learning models, including statistical and generative AI models such as large language models and retrieval-augmented generation solutions.
Conduct exploratory data analysis, feature engineering, and model experimentation, communicating insights and recommendations to stakeholders for informed decision-making.
Implement and oversee model lifecycle practices, including deployment, monitoring, continuous integration, issue resolution, and performance evaluation, ensuring models are audit-ready and compliant.
Establish and promote best practices, standards, reusable patterns, and comprehensive documentation 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 methods and tools across teams.

Your Team

Within the Western Excellence Center AI and Transformation Delivery department, you will be part of a dynamic, multidisciplinary team that collaborates closely with various units including data governance, infrastructure, security, database administration, business analysis, and quality assurance. The team operates with a high degree of autonomy within established standards, fostering a culture of innovation, knowledge sharing, and continuous improvement. The organization values flexibility and offers a hybrid work environment with adaptable schedules to support work-life balance. The bank is dedicated to employee development through personalized training programs, including initiatives like the Data Academy, language training, Harvard Learning Center, and mentoring support, ensuring continuous growth and mastery of your role.

Benefits

The National Bank of Canada offers a comprehensive benefits package designed to support your wellbeing and that of your family. Upon joining, you will have access to health and wellness programs, flexible group insurance options, a generous pension plan, and an Employee Share Ownership Plan. Additional benefits include an employee and family assistance program, preferential banking services, involvement in community initiatives, telemedicine services, and a virtual sleep clinic. The bank’s work environment emphasizes collaboration, innovation, and employee engagement, providing cutting-edge tools and fostering a culture of feedback and continuous improvement. These offerings are tailored to meet current trends and your personal needs, ensuring a positive and supportive workplace experience.

Equal Opportunity

The National Bank of Canada is committed to fostering an inclusive and accessible environment for all employees and candidates. We provide accommodations throughout the recruitment process and in the workplace to ensure equal opportunity for everyone. Our organization values diversity and believes that different perspectives strengthen our team and enhance our ability to serve our clients effectively. We welcome applications from all qualified candidates and encourage individuals of all backgrounds to consider joining our team. If you require accommodations or assistance, please let us know during the initial stages of the hiring process. We are dedicated to creating a barrier-free environment where everyone can thrive and succeed.

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More about this job

Responsibilities

Collaborate with business partners to define analytics and AI initiatives, then design, validate, and deploy machine learning and generative AI solutions. Manage model lifecycles and governance, communicate findings to stakeholders, and support adoption through documentation, testing, training, and knowledge transfer.

Requirements

A degree in computer science, engineering, data science, statistics, or a related field and three to five years of experience delivering production-level analytics or machine learning solutions are sought. Candidates should have strong programming and data skills, experience with relational databases and data preparation or visualization tools, and familiarity with model management, CI/CD, source control, and modern development environments; cloud, containerization, and orchestration experience are advantageous.

Skills

Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Python
SQL
Data Wrangling
Exploratory Data Analysis
Feature Engineering
Model Deployment
Model Monitoring
Continuous Integration And Delivery
Cloud Platforms
Containerization
Data Visualization
Stakeholder Communication

Benefits

Health And Wellness Programs
Flexible Group Insurance
Pension Plan
Employee Share Ownership Plan
Employee And Family Assistance Program
Preferential Banking Services
Community Initiatives
Telemedicine Services
Virtual Sleep Clinic
Flexible Work Schedules
Training And Development
Mentoring Support

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Machine Learning
Generative AI
Large Language Models
Retrieval-Augmented Generation
Python
SQL
Rust
JavaScript
C
C++
SAS
R
Relational Databases
SAS Viya
Data Wrangling
Data Preprocessing
Data Visualization
Model Management
Continuous Integration And Delivery
Source Control
Containerization
Orchestration
Amazon Web Services
Microsoft Azure
Model Monitoring
Feature Engineering
Data Governance
Risk Management
Digital Transformation

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