Data scientist jobs in Terrebonne, QC and nearby

Data scientist jobs within 25 km of Terrebonne, QC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

Counted Oct 25, 2026

Hiring at a glance

View jobs

Open jobs: 77
Employers: 50

Advertised starting pay

Not enough comparable pay figures yet.

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 0%0 listings
Hybrid: 52%40 listings
On-site: 48%37 listings

Employers hiring include Desjardins (8), National Bank of Canada (7), Jumio Corporation (3).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

Data scientist jobs in Terrebonne, QC and nearby

Within 25 km

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Added 15 days ago
R
Staff Data Scientist, AI Evaluations Platform- EN
RBC
Montreal, QC
- Full-time
…one of the core controls that makes that possible. As Staff Data Scientist, AI Evaluations, you will be a senior technical leader in the data science function responsible for how RBC…
Added 15 days ago
D
Data Scientist, Fraud Detection
Desjardins
Montreal, QC
- Full-time
…implement mitigation measures to protect members and clients. As a data scientist specializing in fraud detection you provide the data needed to make business decisions, develop solutions…
Added 15 days ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
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…
Added 16 days ago
YD
Senior Machine Learning Engineer (Consulting)
Yeji Data Lab
Montreal, QC
- Full-time
…their most pressing challenges through Machine Learning and data engineering, creating sustainable value at scale. As a client-facing consultancy, our team must be adaptable, technically…
Added 18 days ago
LL
R&D Bioanalytical Scientist / Scientifique principal(e) en bioanalyse R&D
Lighthouse Lab Services
Laval, QC
- $90,000 to $120,000 CAD / year
- Full-time
Lighthouse Lab Services is currently seeking a dedicated and detail-oriented R&D Bioanalytical Scientist / LC-MS Leader to join our client in Laval, QC. This is a full-time position.
Added 22 days ago
D
Data Scientist, Data valorization
Desjardins
Montreal, QC
- Full-time
As a data scientist, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and understand member and client behaviour. You lead…
Added 23 days ago
KD
Data Architect
KPI Digital Solutions
Montreal, QC
- Other
The Data & Analytics group is looking for a Data Architect with, BI and AI expertise who will be providing consulting services to our customers.
Added 24 days ago
AA
Scientifique des données / Data Scientist
Airbus Aircraft
Montreal, QC
- Full-time
Added 24 days ago
A
Scientifique des données / Data Scientist
Airbus
Montreal, QC
- Full-time
Added 25 days ago
D
Data Scientist, Validation of Financial and AI Models
Desjardins
Montreal, QC
- Full-time
As a data scientist, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and understand member and client behaviour. You lead…
Added 26 days ago
G
Spécialiste apprentissage machine/Machine Learning Specialist - Device Analytics
Genetec
Montreal, QC
- Full-time
Added 26 days ago
D
Data Scientist, Credit Risk Quantification
Desjardins
Montreal, QC
- Full-time
The Data Valorization Department is responsible for developing, monitoring and maintaining our credit risk models so that we can offer innovative financing products to our members and…
Added 29 days ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Added 1 month ago
NB
Senior AI Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior AI Data scientist in the
Added 1 month ago
CA
Quantitative Analyst
Crédit Agricole CIB
Montreal, QC
- Full-time
Added 1 month ago
G
Data Architect
GIRO
Montreal, QC
- Full-time
Added 1 month ago
D
Financial Crime Data Scientist
Desjardins
Montreal, QC
- Full-time
Added 1 month ago
S
Data Architect - Montreal
Slalom
Montreal, QC
- Full-time
Added 1 month ago
Machine Learning Engineer
ALS
Montreal, QC
When you join us, you’ll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.
Added 1 month ago
S
Data Architect
Synechron
Montreal, QC
- Full-time
…Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering. Our 13 FinLabs serve as hubs where we innovate and develop cutting-edge business…
Added 1 month ago
A
Machine Learning Engineer
ALS
Montreal, QC
- Full-time
When you join us, you’ll be part of a global team harnessing the power of scientific testing and data-driven insights to build a healthier future.
Added 1 month ago
CD
Data Scientist | Data Scientist
Cirque du Soleil Entertainment Group
Montreal, QC
- Full-time
Added 1 month ago
I
AI & Automation Data Scientist Associate / Data Scientist associé(e) en IA et automatisation
IBM
Montreal, QC
- $91,375 to $129,000 CAD / year
- Full-time
Added 1 month ago
T
Senior Applied Machine Learning Scientist, Predictive AI(B3617)
TD
Montreal, QC
- Full-time
Added 1 month ago
A
Data Scientist/Senior Analyst (Supply Analytics, Bangkok-based, Relocation provided)
Agoda
Montreal, QC
- Full-time

KPI Digital Solutions

Data Architect

Montreal, QC, Canada

Apply About employer

Applications open in a new tab.

Job details

Apply by: Oct 28, 2026
Working hours: 40 hours a week
Posting language: English
Posted: Jul 11, 2026

Original job description

The Data & Analytics group is looking for a Data Architect with, BI and AI expertise who will be providing consulting services to our customers.

The candidate

Is a senior Data architect that can develop detailed and comprehensive conceptual data model
Is at ease defining business processes map, SIPOC, and business capabilities models
Can put a governance program in place with appropriate structure, committees and supporting processes and tools. And can define policies and enforce them for the full life cycle of data
Is a senior BI architect that can transpose the conceptual data model in dimensional models an ideally can go further by taking the dimensional models and physicalizing them on traditional and modern D&A platform.
The BI architect is also expected to create the dimensional metadata layer to be consumed by visualization software and/or thru API
Master one or more Cloud environments and has been involved in AI projects

Requirements

Has defined either ‘home grown’ DG solution or use tools such as Collibra, Cloudera EDH, Watson Knowledge Catalog or others
Must have a great experience in creating conceptual data models from scratch and have them physically implemented. This clearly is not only the ability to identify and define the right concepts but also the ability to have the concepts physically implemented and used in applications and dashboards
Can translate and animate sessions with businesspeople and other SMEs to either complete a started model or do one from scratch
Has done multiple snowflake and STAR model from a conceptual data model and/or directly
Has used and created multiple data layers including the use of metadata for exposing datamarts to visualisation tools
Can define the access rights management solution
Has implemented various regulations such as PIPED Act, GDPR, IFRS, SOX or others
Has used multiple Data Modeling tools and Enterprise Architecture tools (PowerDesigner, ErWin, Embarcadero, Sparx, CaseWise, BizzDesign, Aris, Alfabet AEM, Unicom System Architect, Orbus I-Server, etc.)
Possesses excellent written and verbal communication skills for coordinating across teams
Is driven to learn and master new technologies and techniques
Can understand rapidly the patterns and directions taken by the Practice Lead (former chief architect)
Can zero-in on ambiguous concepts and made them crystal clear rapidly
Is pragmatic (consider constraints) but not to the expense of faulty designs/concepts
Can discern fundamental and key aspects worth ‘fighting for’ versus the less ‘important’ ones
Is great at whiteboarding with customers and prospects. Excellent understanding of SQL (DDL and DML)
Understands asynchronous architecture using ‘queue mechanisms’ such as Event Hub/Kakfa
Has implemented the Data aspect related to COBIT
Is bilingual (French and English) preferred

Responsibilities

Work with our customers’ stakeholders to identify opportunities for leveraging their data to produce insights allowing them to improve business processes or even innovate by changing the industry. The same assessment could also be used to identify constraints allowing to optimize (DO) business processes
Assess the effectiveness and accuracy of new data sources and data gathering techniques
Assess, audit, and provide recommendations to help our customers move toward a modern D&A platform allowing them to scale their AI
Ensure that all models (conceptual to physical) are complete, coherent, and consistent
Help the data engineers from getting the data to the transformation toward the DataLake
Help the BA to have business requirements align with the data architecture and vice-versa. Data architects create generic to specific data concepts and they need to tie back to the business requirements. On the other hand, many times business requirements describe the how versus the what which is a constraint in itself
Assist sales efforts as SME from the D&A practice by meeting prospects and customers presenting the D&A offerings from KPI Digitals and participating in SOW
Handle and complete the deliverables started by the VP of D&A practice for internal and external projects
Guide and direct teams from architectural and governance perspective

What will make you successful here?

A desire to be accountable for owning problems from design to implementation
An understanding of the difference between data and useful insights
A bias for action and pragmatic solutions
A low ego and humility; an ability to gain trust through effective communication and doing what you say you will do
A talent for operating effectively at various levels of abstraction
An aptness to distill complex, technical topics articulately to a non-technical audience
Adaptability, flexibility and an ability to navigate ambiguity
Who is KPI Digital?:

KPI Digital has been helping clients meet their revenue goals for over 25 years. We specialize in Digital Transformation, Analytics & AI and Performance Management business solutions/services. More specifically Analytics, Digital Marketing, Big Data, Insights, Customer 360, Artificial Intelligence (AI), Machine Learning and Internet of Things (IOT). In addition, we offer Consulting Services, Managed Services, Packaged Services, Education and Training.

Are you seeking a new opportunity where you can make an impact and be recognized and compensated for your achievements? If this sounds intriguing, consider KPI Digital for your career, apply now!

Benefits

The opportunity to join and grow an ever-expanding professional network of high-profile clients and reputable colleagues.
Permanent, full-time job (40 hours a week).
Hybrid (work from home and/or office) and flexible schedule.
Competitive salary and bonus structure.
Attractive group insurance plan.
Retirement savings plan with matching.
Family company culture.
Flex-Fridays in the summertime.
Free use of the gym within building.
Subsidized catering service & free snacks at the office.
Vacation days plus 6 personal days per year.
Casual work environment: jeans-friendly!

Proudly a Great Place to Work!

As you bring your experience and skills to KPI Digital, you’ll get a unique experience, ambitious growth, and limitless learning in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities.

You’ll join a community of smart, supportive collaborators to mentor and guide you, but to also lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live.

Apply About employer

More about this job

Responsibilities

Partner with customer stakeholders to identify data opportunities, assess data sources and platforms, and recommend modern data and analytics architectures that support business insights and AI. Ensure data models are coherent from conceptual through physical implementation, guide engineering and business analysis teams, establish governance, and support client engagements and sales efforts.

Requirements

Requires senior-level experience creating and implementing conceptual data models, dimensional models, data layers, metadata, and data governance solutions, along with expertise in cloud environments, BI, SQL, and AI projects. Candidates should be able to facilitate modeling with business stakeholders, apply regulations and access controls, communicate complex topics clearly, and work pragmatically through ambiguity.

Skills

Data Architecture
Conceptual Data Modeling
Dimensional Modeling
Data Governance
Business Intelligence
Cloud Platforms
Artificial Intelligence
SQL
Data Warehousing
Metadata Management
Data Access Management
Enterprise Architecture
Regulatory Compliance
Business Process Modeling
Stakeholder Communication
Event-Driven Architecture

Benefits

Professional Networking Opportunities
Permanent Full-Time Employment
Hybrid Work Arrangement
Flexible Schedule
Competitive Salary and Bonus Structure
Group Insurance Plan
Retirement Savings Plan With Matching
Flex Fridays During Summer
Gym Access
Subsidized Catering
Free Office Snacks
Vacation Days
Six Personal Days Per Year

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Data & Analytics
Business Intelligence
Artificial Intelligence
Machine Learning
Conceptual Data Models
Dimensional Models
Star Schema
Snowflake Schema
Data Governance
Collibra
Cloudera EDH
Watson Knowledge Catalog
Data Lakes
Data Marts
Metadata
Cloud Platforms
SQL
DDL
DML
Event Hub
Kafka
COBIT
GDPR
PIPEDA
IFRS
SOX
PowerDesigner
ErWin
Sparx

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