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Added 1 hour ago
T
Actuarial Analyst I
TD
Toronto, ON · Montreal, QC
- Full-time
Proficiency and interest for programming, notably SAS, VBA, R, Python
Added 2 hours ago
RA
Associate Director, Health Economics
RainCity Analytics
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Proficiency with relevant analytical tools and software (e.g., R, SAS, Stata, Excel-based models) and strong quantitative, statistical, and methodological skills.
Added 3 hours ago
SH
Performance Engineering Assistant Co-op
Siemens Healthineers
Ottawa, ON
- Full-time
Added 3 hours ago
D
Credit Risk Modelling Data Scientist
Desjardins
Montreal, QC
- Full-time
Proficiency with SAS, SQL and Python programming tools
Added 4 hours ago
AC
Data Solutions Analyst
Air Canada
Dorval, QC
- Full-time
Experience with statistical or data analysis tools such as SAS, or other data mining and analytical programming tools.
Added 5 hours ago
Senior Manager, Analytics and BI
Scotiabank
Toronto, ON
Added 7 hours ago
S
Principal Strategic Account Manager, Bank of Montreal
SAS
Toronto, ON
- Other
…drive growth, strengthen customer relationships, and expand SAS’ business with Bank of…
Added 7 hours ago
Manager, Pricing & Portfolio Management - Retail Deposits
Scotiabank
Toronto, ON
Added 9 hours ago
Research Project Coordinator - The Department of Research
Nova Scotia Health and IWK Health
Halifax, NS
…statistical analysis software package (e.g. SPSS, Epi-info, SAS, STATA,…
Added 9 hours ago
WS
Actuarial Associate
Workplace Safety and Insurance Board (WSIB)
ON · Ontario, Canada
- Full-time
Added 9 hours ago
AS
Senior Data Scientist
AgileGrid Solutions
Canada
- Full-time
…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…
Added 9 hours ago
B
Manager, Wealth Reporting Analytics & Automation
BMO
Toronto, ON
- Full-time
Advanced level of proficiency in SQL and SAS (SAS Macros, Proc SQL etc.)
Added 13 hours ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Develop predictive and descriptive analytical models using SAS, Python and SQL in cloud environments.
Added 1 day ago
A
Data Engineer Analyst
Avanade
Toronto, ON
- Full-time
Experience with at least one key analytics tool (R, SAS, SPSS, Tableau, Power BI, SQL, etc.).
Added 1 day ago
Epidemiologist
Government of Alberta
AB
Data analysis using R, SAS, or other statistical analysis programs.
Added 1 day ago
Surveillance Data Coordinator
Government of Alberta
AB
Experience using analytical software such as R and SAS.
Added 1 day ago
NB
SAS Viya System Administrator
National Bank of Canada
Montreal, QC
- Full-time
A career as a SAS Viya System Administrator within the Cross-Functional Solutions, Acceleration and Data (STAD) team at National Bank means acting as a specialist in the administration and…
Added 1 day ago
E
Data and Program Evaluation Analyst
Eva's
Toronto, ON
- Contract
Added 1 day ago
IG
Data Analyst
Insight Global
Toronto, ON
- Contract
…of the environment. On the back end, the consultant will use SAS and SQL to extract data from source systems, apply business logic, troubleshoot data issues, and prepare accurate datasets…
Added 1 day ago
B
Platform Economy Manager
Blazesoft
Vaughan, ON
- Full-time
Familiarity with statistical tools and models (R, SAS)
Added 1 day ago
B
Senior Data Analyst (Gaming)
Blazesoft
Vaughan, ON
- Full-time
Familiarity with statistical tools and models (R, SAS)
Added 1 day ago
T
SAS Consultant
TechDoQuest
Markham, ON
- Full-time
We are seeking an experienced SAS Technical Lead to support a large-scale SAS-to-Snowflake modernization and migration program. The ideal candidate should possess deep expertise in Base…
Added 1 day ago
JG
SAS Tech Lead
J&M Group
Markham, ON
- Contract
We are seeking an experienced SAS Technical Lead to support a large-scale SAS-to-Snowflake modernization and migration program.
Added 1 day ago
A
Quantitative Pharmacoepidemiologist
AstraZeneca
Mississauga, ON · Canada - Mississauga
- Full-time
Advanced level skills in syntax-based SAS or R
Added 1 day ago
RC
Statistics and Psychometrics Specialist
Royal College of Physicians and Surgeons of Canada
Ottawa, ON
- Full-time
…techniques; of one or more statistical software tools (e.g., SAS, SPSS, Stata, R); as well as experience and/or familiarity with relational database systems (e.g., SQL, MS…

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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