Jobs in Canada

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Added 26 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 26 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 26 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 26 days ago
M
Associate Director, Analytics
Monks
Toronto, ON
- Full-time
Hands-on experience with programming and analytical tools such as SQL, Python, R, or similar
Added 26 days ago
KC
Senior Consultant, Microsoft Fabric Data Engineer, Data & AI
KPMG Canada
Vancouver, BC
- Full-time
Strong proficiency in SQL and solid understanding of modern data modeling principles and data warehousing concepts.
Added 26 days ago
AP
Senior Manager, Forward deployed Decision Scientist
Alexion Pharmaceuticals, Inc.
Mississauga, ON
- Full-time
That’s why we work, on average, a minimum of three days per week from the office, while balancing this with individual flexibility
Added 26 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General
Added 27 days ago
NB
Senior Data Scientist
National Bank of Canada
AB · Edmonton, AB
- Full-time
data skills with tools and languages such as Python, Structured Query Language,
Added 27 days ago
NB
Associate Director IRRBB
National Bank of Canada
Montreal, QC
- Full-time
Minimum of 3 days per week in the office
Added 27 days ago
UT
Développeur(euse) DevOps senior(e) | Senior DevOps Developer
Unity Technologies
Montreal, QC · CAN-Montreal
- Full-time
Added 27 days ago
SG
IT Service Operations, API and Cloud Warehouse Integrations
S&P Global
Calgary, AB
- Full-time
10-15 years of proven experience in API integration and programming skills in Python, Java, JSON, SQL, XML.
Added 27 days ago
R
Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
Must have development experience in Azure Integration Services
Added 27 days ago
OT
Senior Software Developer (Microsoft 365 & Azure Integrations)
Open Text Corporation
Richmond Hill, ON
- Other
We are looking for a Senior Software Developer to design and build the integration layer between OpenText Content Management and the Microsoft ecosystem, including Microsoft Teams,…
Added 27 days ago
MC
Data Scientist
Meridian Credit Union
Toronto, ON · Etobicoke, ON
- Full-time
Develop GenAI and LLM models. Get direction from and technical guidance from more senior members of the team
Added 27 days ago
D
Data Engineer
DarkVision
North Vancouver, BC
- Full-time
Strong proficiency in Python for data manipulation and analysis.
Added 27 days ago
T
Senior Salesforce Analyst, Marketing Delivery
TD
Toronto, ON
- Full-time
Leverage analytical tools including Python, PySpark, SQL, and Databricks to enhance campaign design, delivery, and measurement.
Added 27 days ago
V
Databricks Engineer-Canada
V4C.ai
Remote, Canada
- Contract
- Remote
Pipeline Development: Build, optimize, and maintain robust data pipelines using SQL, dbt, and Python.
Added 27 days ago
C
Ingénieur(e) MLOps senior
CGI
Montreal, QC
- Full-time
Senior level Python development across the full data and ML stack.
Added 27 days ago
SG
IT Service Operations, API and Cloud Warehouse Integrations
S&P Global
Calgary, AB
- Full-time
10-15 years of proven experience in API integration and programming skills in Python, Java, JSON, SQL, XML.
Added 27 days ago
Software Engineer II
Planview Incorporated
Vancouver, BC
…combination of data science and LLMs, in close collaboration with senior engineers and data scientists. This role offers the opportunity to deepen your expertise in cloud-native engineering…
Added 27 days ago
V
Databricks Engineer-Canada
v4c.ai
Canada
- Contract
Pipeline Development: Build, optimize, and maintain robust data pipelines using SQL, dbt, and Python
Added 27 days ago
Senior Software Engineer II
Schneider Electric
Calgary, AB
…reliable answers grounded in current data from internal APIs, SQL and NoSQL databases, documents and search…
Added 27 days ago
R
Senior Manager, Engineer & Build
RBC
Toronto, ON
- Full-time
As a Senior Manager, Engineering & Build (Hands-On Leader), you will lead an engineering team while contributing ≈50% hands-on to design and deliver cloud-native, governed, and reliable…
Added 27 days ago
R
Application Security Consultant - SCA (Global Security)
RBC
Toronto, ON
- Full-time
We are seeking a talented Intermediate Developer to join our Application Security team and serve as a bridge between security and development. You will provide technical execution and…
Added 27 days ago
SM
RQ11486 – Data Ops/Cloud Data Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Candidates Must Demonstrate Strong Hands-on Experience In The Mandatory Technical Skills And Responsibilities Outlined In The Must Have And General

Meridian Credit Union

Data Scientist

Toronto, ON, Canada
Etobicoke, ON, M8X 2X3, Canada

Salary Range: CAD $68,800- $100,000 · Full-time

Apply on recruiting.ultipro.ca About employer

Applications open in a new tab.

Job details

Pay: Salary Range: CAD $68,800- $100,000
Job type: Full-time
Experience: Experience: 2-4 years of experience in data science and Microsoft technologies.
Posting language: English
Posted: Oct 13, 2026

Original job description

Why Meridian?

At Meridian our aspiration is to integrate our purpose into everything we do for people, the planet, and communities. We believe that our greatest opportunity is to create opportunity and meet people where they are.

Factor us into your next career opportunity. We want you to grow with us and have an experience that’s different. This is a place where you can expect the unexpected.

Find our story here: About Meridian

The role: *Please note - this is a 12-month contract opportunity*

The Data Scientist will be a pivotal member of the Enterprise Data and Analytics Team, responsible for developing, and implementing advanced analytics and AI models. Leverage statistical techniques, machine learning, and data mining. This role involves building robust data models, and leveraging a suite of Microsoft and other AI and data technologies to ensure data solutions, accessibility, and usability across the organization.

Key Responsibilities:

AI Modeling & Documentation

Develop models to support AI and automation use cases across Meridian
Develop GenAI and LLM models. Get direction from and technical guidance from more senior members of the team
Work closely with data engineers, data analysts, and other stakeholders
Analyze large and complex, structured and unstructured data. Prepare AI-ready data models
Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other predictive models

AI and Data Science research and development

Research, code, develop and implement advanced analytics and AI models
Research and stay updated with the latest advancements in data science and AI technologies
Ensure AI models have proper documentation and model transparency and that they adhere to responsible AI framework
Collaboration: Work closely with data analysts, senior data scientists, and other stakeholders to understand and deliver on data requirements.
Help define AI and automation use cases and requirements as well as assessing technical feasibility

Knowledge, Skills, and Experience:

Experience with machine learning frameworks and data mining techniques, nice-to-have: cloud computing
Proficiency in a software programming languages, e.g., Python
Knowledge of programming languages such as Python or Java.
Nice-to-have:
- Knowledge of SQL Server and T-SQL programming.
- Experience with PowerBI for data visualization and reporting.
- Familiarity with MS Fabric for data integration and management.
- Proficiency in Microsoft Azure, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
- Strong understanding of data warehousing concepts and best practices.
- Experience in developing and managing ETL pipelines.

Strong analytical and problem-solving skills with the ability to interpret complex data sets.
Good verbal and written communication skills, with the ability to convey technical information to non-technical stakeholders.
Ability to work collaboratively in a team environment and manage multiple priorities.
Experience: 2-4 years of experience in data science and Microsoft technologies.

This role represents an existing vacancy. Internal candidates are being considered as part of our standard process.

Salary Range: CAD $68,800- $100,000

Compensation for this role is based on a combination of skills, experience, and internal equity. Candidates with stronger alignment to the role’s requirements may be placed higher within the range. Your recruiter will share more information about our total rewards package during the hiring process.

Join us! This role is hybrid. Our offices are located at 3280 Bloor St W, Etobicoke, and 75 Corporate Park Dr, St. Catharines. Travel between these offices may be required, as well as occasional travel to branches.

Meridian has a remote work policy that allows flexibility for employees to work remotely but also requires regular time in the office for purposeful meetings to collaborate, innovate and build effective relationships with your team, your colleagues and your leader which is very important to us.

What's in it for you?

We have an inclusive and collaborative working environment that encourages creativity, curiosity, and celebrates success!
We provide you with the tools and technology needed to delight your candidates and clients!
You'll get to work with and learn from diverse industry leaders, who have hailed from top organizations around the world
Hybrid work arrangements with in-person office time to collaborate, innovate and build relationships with your colleagues
This isn't your typical "corporate" job. We work hard and we have fun!

Build the Future of Banking with Us

At Meridian, we’re not just adapting to the future - we’re shaping it. We see talent as a catalyst for sustainable growth, community impact, and future-readiness. As the financial landscape evolves, we’re looking for team members who bring:

Embedding & leveraging technology – Confidence and willingness to learn and integrate AI and emerging technologies into new ways of working. Experience with low/no code tools like the Microsoft Power Platform and generative AI productivity tools like Microsoft Copilot is considered an asset
Critical Thinking – The ability to analyze, evaluate and interpret information from various sources and apply logic and problem solving to make decisions.
Data Driven– Leverage data and insights to identify, prioritize and improve member experience and business efficiency.
Curiosity & Flexibility – Comfortable navigating and embracing change and uncertainty, ask more questions, explore more options. Continuously learn and grow.

Our Commitment to You

Meridian is committed to promoting an inclusive, accessible environment, where all employees and customers feel valued, respected, and supported. We are dedicated to employing a workforce that reflects the diversity of our communities and Members in which we live and serve.

Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, or disability.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Please note that due to the volume of applications, only those under consideration will be contacted for an interview.

Thank you for your interest in Meridian Credit Union.

Follow us on Twitter at

@MeridianCareers

Connect with us on LinkedIn

Meridian only posts jobs on our official Careers Site, LinkedIn, and Indeed. If you find a Meridian job posting on any other site, please verify it by ensuring it directs back to our official career page. Meridian never asks candidates to apply through third‑party links that do not redirect to our Careers portal (UltiPro). For more tips on how to protect yourself from job scams visit Protect yourself from job scams | Meridian

Apply on recruiting.ultipro.ca About employer

More about this job

Responsibilities

The Data Scientist will develop and implement advanced analytics, AI, and GenAI models to support automation use cases across the organization. They will collaborate with data engineers and stakeholders to prepare AI-ready data models and ensure model transparency and reliability.

Requirements

Candidates should have 2-4 years of experience in data science and Microsoft technologies, including proficiency in Python or Java. Strong analytical skills and experience with machine learning frameworks and data warehousing concepts are required.

Skills

Data Science
Machine Learning
Python
Java
SQL Server
T-SQL
PowerBI
MS Fabric
Microsoft Azure
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
ETL Pipelines
Data Warehousing
GenAI
LLM

Benefits

Inclusive working environment
Collaborative culture
Hybrid work arrangements
Professional development opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Artificial Intelligence
GenAI
LLM
Python
Java
SQL Server
T-SQL
PowerBI
MS Fabric
Microsoft Azure
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
Data Warehousing
ETL
Data Mining
Predictive Modeling
Automation
Data Analytics
Cloud Computing
Microsoft Power Platform
Microsoft Copilot
Enterprise Data
Statistical Techniques
Data Visualization
Reporting
Model Transparency
Responsible AI

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Work requirements

Jobs in Canada