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Added 12 mins ago
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SQL Developer
SMARTFOX
Canada
- Full-time
SQL Developer I - 0-2 years : Queries, reports, and well-scoped database changes, learning our data model with a dedicated mentor and code review
Added 12 mins ago
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Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Montreal, QC
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 12 mins ago
A
Machine Learning Operations Developer, AI/ML Platfor
Autodesk
Toronto, ON
- Full-time
Autodesk, a global leader in 3D design, engineering, manufacturing, and entertainment software, is seeking an MLOps Developer to join our AI/ML Platform team. This role will contribute to…
Added 13 mins ago
BB
Jr. Developer
Bond Brand Loyalty
Toronto, ON
- $65,050 to $86,450 CAD / year
Strong foundation in Python and SQL (PostgreSQL or Snowflake).
Added 27 mins ago
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Artificial Intelligence Consultant
SMARTFOX
Canada
- Full-time
Solid foundations in data and AI: Python, SQL, and an understanding of machine learning and modern LLM techniques
Added 27 mins ago
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Senior Oracle Apps AI Developer
W3Global
Toronto, ON
- $62 to $78 CAD / hour
- Contract
We are seeking a highly skilled Oracle Apps AI Developer with expertise in Oracle E-Business Suite (EBS), Oracle Cloud Applications, Artificial Intelligence (AI), Machine Learning (ML), and…
Added 27 mins ago
RL
Lead, Manufacturing Engineer
Rocket Lab
Toronto, ON
- Full-time
Exposure to, or experience with, Infor LN, PowerBI and SQL interfaces
Added 27 mins ago
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Site Reliability Engineer
TechDoQuest
Calgary, AB
- Full-time
focused on stability, optimization, business impact analysis, and associated risk-related methodologies. This role will be responsible for overall stability of the Wealth Management…
Added 27 mins ago
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Full Stack Engineer
TEEMA
Toronto, ON
- $70 to $75 CAD / hour
- Contract
We are looking for a Senior Full Stack Developer to join a collaborative Agile technology team building and enhancing cloud-native applications.
Added 41 mins ago
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Senior Python Developer
Futran Solutions
Mississauga, ON
- Full-time
We are looking for a motivated and detail-oriented Python developer with 6-8+ years of experience to join our development team. The ideal candidate will contribute to designing, developing…
Added 41 mins ago
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Applied AI Engineer - Winnipeg
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are proficient in at least two major programming languages, such as Python, JavaScript, Go, or Java, and we have experience working with SQL databases.
Added 41 mins ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Database querying and transformation: dbt, SQL (writing queries, joins, stored procedures)
Added 58 mins ago
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Analytics Engineer I (Remote, Canada)
GoCanvas
Remote, Canada
- Full-time
- Remote
Write and optimize complex SQL queries to extract, transform, and analyze data across multiple sources.
Added 58 mins ago
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Integrations Engineer I (Remote, Canada)
GoCanvas
Remote, Canada
- Full-time
- Remote
Basic SQL/database knowledge for data mapping and troubleshooting
Added 58 mins ago
O
Conseiller(ère) en ingénierie de données intermédiaire (R22 -VIM/VNA) - Qualité des données
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 58 mins ago
W
Conseiller(ère) en ingénierie de données intermédiaire AA
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Outils et langages : Git/GitHub, SQL, Python, Power BI;
Added 58 mins ago
O
Conseiller(ère) en ingénierie de données intermédiaire AA
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Outils et langages : Git/GitHub, SQL, Python, Power BI;
Added 58 mins ago
W
Conseiller(ère) en ingénierie de données - Qualité des données
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 58 mins ago
W
Conseiller(ère) en ingénierie de données intermédiaire (R22 -VIM/VNA) - Qualité des données
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 58 mins ago
O
Conseiller(ère) en ingénierie de données - Qualité des données
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 1 hour ago
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Azure BSA ( Hybrid )
Cognizant
Toronto, ON
- Full-time
Azure (ingestion/extraction),python, ETL, Unix, SQL,Shell scripting, pyspark, synapse, ADB, ADLS experience
Added 1 hour ago
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Software Engineer in Test
LTM
Mississauga, ON
- $103,554 to $115,200 CAD / year
- Full-time
· Handson test automation development experience using various languages like Java Python and TypeScript
Added 1 hour ago
A
Senior Data Scientist - AI/ML
Akkodis
Toronto, ON
- Contract
Advanced proficiency in Python for data science, machine learning, and Generative AI development.
Added 1 hour ago
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Workforce Intelligence Analyst
PTAG
Markham, ON
- Full-time
Strong proficiency in SQL for data extraction, transformation, and analysis.
Added 1 hour ago
OP
Sr Data Analyst (Equity/Social Identity)
Ottawa Police Service
Ottawa, ON
- Full-time
This posting is for one (1) full-time permanent position available. All civilian competitions include the possibility of extension and/or additional temporary or permanent positions.

National Bank of Canada

Senior Data Scientist

Montreal, QC, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 8, 2026
Experience: Academic training relevant to expertise and between 5 and 7 years of experience in data science.
Posting language: English
Posted: Oct 9, 2026

Original job description

A career as a Data Scientist in the Client Data Valorisation team at National Bank means serving as a predictive modelling and data valorisation specialist. This position allows you to have a positive impact on the client experience and decision-making thanks to your expertise in data science, advanced analytics and understanding of business needs.
Your job

Carry out complex studies, research and analyses to support decision-making and propose solutions tailored to business needs.
Explore, transform and analyse complex data to respond to marketing initiatives, mainly in the savings and investment sector.
Develop predictive and descriptive analytical models using SAS, Python and SQL in cloud environments.
Collaborate with the it, architecture, product and marketing strategy teams to ensure the deployment of models in production environments.
Identify stakeholder needs, present analysis results and act as a partner with business lines.
Monitor technological, mathematical and sector advances in order to improve models, systems and work processes on an ongoing basis.

Your team
The Vice-President – Analytics and Data is made up of more than 150 specialists who work agile, proactively and collaboratively to seize opportunities, stay on the cutting edge of technology and continuously improve processes.
You are part of a team of 15 colleagues in the Client Data Valuation sector and report to the Senior Manager – Analytics. Our team stands out for its expertise in predictive modelling of client behaviours and needs, as well as its willingness to stay abreast of new trends.
Our goal is to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible, adaptable schedule.
The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, language training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.
Prerequisites

Academic training relevant to expertise and between 5 and 7 years of experience in data science.
In-depth knowledge of data science algorithms, including segmentation, clustering, regression, classification and time series.
Proficient analytical tools and languages such as SAS, Python, SQL.
Experience in predictive and descriptive analytics modelling in cloud environments such as snowflake or Amazon Web Services.
Be familiar with relational database environments and master the use of SQL.
Experience in the banking or marketing sectors, an asset.

Softskills to be added to skills if possible
•Ability to explain mathematical results to non-specialist audiences
•Interpersonal and communication skills
•Ability to build relationships of trust
•Business intuition
•Sense of initiative
•spirit of collaboration
Languages: French
Required skills: Artificial Intelligence, Banking, Business Acumen, Communication, Data Visualization, Data-Driven Decision-Making, Detail-oriented, Exploratory Data Analysis, Initiative, Performance Analysis, Problem Solving, Python, Statistics, Storytelling, Teamwork

Your benefits
In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:

* Health and wellness program, including many options
* Flexible group insurance
* Generous pension plan
* Employee Share Ownership Plan
* Employee and family assistance program
* Preferential banking services
* Involvement in community initiatives
* Telemedicine service
* Virtual sleep clinic

We have an offer that keeps up with trends as well as your needs and those of your family.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.

Making a bold move in a people-first environment
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?

Join us!

Apply About employer

More about this job

Responsibilities

Conduct complex data studies and analyses, explore and transform data, and develop predictive and descriptive models to support business decisions and marketing initiatives. Partner with technology, architecture, product, and marketing teams to deploy models, communicate findings to stakeholders, and continuously improve analytical methods and processes.

Requirements

Requires relevant academic training and 5–7 years of data science experience, with in-depth knowledge of segmentation, clustering, regression, classification, and time-series algorithms. Candidates should be proficient in SAS, Python, and SQL, have experience with analytics modeling in cloud environments such as Snowflake or AWS, and be familiar with relational databases; banking or marketing experience is an asset.

Skills

Artificial Intelligence
Banking
Business Acumen
Communication
Data Visualization
Data-Driven Decision-Making
Detail-Oriented
Exploratory Data Analysis
Initiative
Performance Analysis
Problem Solving
Python
Statistics
Storytelling
Teamwork
SAS

Benefits

Health And Wellness Program
Flexible Group Insurance
Pension Plan
Employee Share Ownership Plan
Employee And Family Assistance Program
Preferential Banking Services
Community Initiatives
Telemedicine Service
Virtual Sleep Clinic
Flexible Schedule
Hybrid Work Environment
Training And Development
Coaching And Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Predictive Modeling
Descriptive Analytics
Advanced Analytics
Data Valorization
SAS
Python
SQL
Snowflake
Amazon Web Services
Cloud Environments
Relational Databases
Segmentation
Clustering
Regression
Classification
Time Series
Exploratory Data Analysis
Marketing Analytics
Banking
Savings And Investment
Model Deployment
Data Visualization
Stakeholder Communication
Business Decision-Making
Client Behavior Modeling
Agile Collaboration

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