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Added 4 days ago
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Senior Application Developer- Azure
CIBC
Toronto, ON
- Full-time
You can demonstrate experience. 2-3 years as an Application Developer/Support and Integration Specialist wearing multiple hats to help support internal clients. You must have good knowledge…
Added 4 days ago
KC
Senior Data Consultant – Databricks
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
Develop, maintain, and optimize Databricks data pipelines and transformations using Python, PySpark, SQL, and notebooks.
Added 4 days ago
TR
Data Developer III
Teck Resources Limited
Vancouver, BC · Greater Vancouver, BC
- $107,000 to $132,000 CAD / year
- Full-time
Reporting to the Lead, the Senior Data Developer is responsible for supporting the development of reliable site data that enables Operations performance reporting and analytics.
Added 4 days ago
Data Engineer, Lead
University of Toronto
Toronto, ON
The Lead must keep abreast of current tools/technologies including Informatica, SQL Service, Azure Data Factory, Databricks, Azure Databricks etc. The Lead will also have knowledge…
Added 4 days ago
AA
Software Engineer IV, Viper Engineering
ACV Auctions
Toronto, ON
- Full-time
Develop Services using modern language stacks like Go Lang , Postgres and NoSQL databases like mongo, SQL Server is nice to have.
Added 4 days ago
CA
Data Engineering & Platforms Manager
Canadian Addiction Treatment Centres (CATC)
Markham, ON
- Full-time
Reporting to the Director of Information Technology, the Manager will have primary responsibility for CATC's Azure SQL data warehouse and the Python, SQL and dbt-based pipelines,…
Added 4 days ago
Business System Analyst (BFSI)
Capgemini
Toronto, ON
Hands-on experience working with SQL, Pyspark and Snowflake in a data delivery or analytics environment.
Added 4 days ago
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Manager, AML Model Testing
RBC
Toronto, ON
- Full-time
Hands-on experience with SQL, SAS, Python and Dataiku for data processing, querying and automation.
Added 4 days ago
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Data Operations Engineer AI - Co-op Student (Winter 2027)
Rodan Energy Solutions Inc.
Mississauga, ON
- Internship
Basic scripting or programming experience such as Python, SQL, JavaScript, or equivalent.
Added 4 days ago
MD
Application Developer - ITS3
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
…solution design, C# development, API integration, and Oracle and SQL Server databases. The position will play a key role in modernizing legacy systems by migrating applications to current…
Added 4 days ago
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Manager, Actuarial Insurance Solutions (AIS) - Property & Casualty
Deloitte
Toronto, ON
- Full-time
Added 4 days ago
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DataStage Developer
Cognizant
Canada
- Full-time
Write, tune, and optimize advanced SQL and PL/SQL queries for relational databases like Oracle, DB2, or SQL Server.
Added 4 days ago
AS
Senior Data Developer
AgileGrid Solutions
Canada
- Full-time
We are seeking a Senior Data Developer (Engineer) to help build the data foundation for Contact Distributor, Intact’s new platform for broker and distributor master data. This platform will…
Added 4 days ago
GM
Senior QA (Candidate must know French)
Galactic Minds INC
Canada
- Contract
…systems can handle market volatility. You will use complex SQL to deep-dive into our databases, validating that every byte of data flowing through our AWS pipelines is accurate, compliant,…
Added 4 days ago
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Senior Manager, Analytics and Insights
TD
Toronto, ON
- Full-time
…maintaining and enhancing data and reporting processes using SQL, Python, Tableau/Power BI, and other analytic and business intelligence…
Added 4 days ago
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Software Engineer II
TD
Toronto, ON · Montreal, QC
- Full-time
Works as the senior or lead developer and coaches/guides team members within area of expertise
Added 4 days ago
T
TDS Operations Analyst II, Client Enablement
TD
Toronto, ON
- Full-time
Proficiency in data management tools (e.g., Excel, SQL), with a strong capacity to analyze data,
Added 4 days ago
Software Engineer IV, Viper Engineering
ACV
Toronto, ON
Develop Services using modern language stacks like Go Lang , Postgres and NoSQL databases like mongo, SQL Server is nice to have.
Added 4 days ago
AI
Testing/QA Specialist
Avanciers Inc.
Toronto, ON
- Contract
Strong understanding of databases such as SQL, Oracle.
Added 4 days ago
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Data scientist
Desjardins
Levis, QC · Montreal, QC · Complexe Desjardins Montréal
- Full-time
Proficiency in Python and SQL, combined with a strong knowledge of the main data processing, analysis, and modelling libraries
Added 4 days ago
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Data scientist
Desjardins
Levis, QC · Montreal, QC · Complexe Desjardins Montréal
- Full-time
Proficiency in Python and SQL, combined with a strong knowledge of the main data processing, analysis, and modelling libraries
Added 4 days ago
OU
Quality Assurance Analyst
ONTARIO UNIVERSITIES APPLICATION CENTRE
Guelph, ON
- Full-time
Knowledge of SQL and basic database concepts.
Added 4 days ago
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Data Science Developer - Senior (Statistics/ Predictive Modelling and Machine Learning/LLM/RAG exp)
Bevertec
Toronto, ON
- $65 to $70 CAD / hour
- Contract
Job Role: Data Science Developer - Senior (Statistics/ Predictive Modelling and Machine Learning/LLM/RAG exp)
Added 4 days ago
NE
Sales Operations Analyst
Nexus Energy Inc.
Toronto, ON
- $60,000 to $80,000 CAD / year
- Full-time
Working knowledge of SQL, with experience pulling, cleaning, and analyzing data from relational databases to support sales insights, pricing, and performance tracking.
Added 4 days ago
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Directeur(trice) de l’analytique marketing / Director of Marketing Analytics
Manmade
Montreal, QC
- Full-time
Maîtrise avancée de SQL et d’Excel, ainsi qu’une solide expérience avec des outils d’intelligence d’affaires comme Looker, Tableau, Power BI ou des outils similaires.

Desjardins

Data scientist

Levis, QC, Canada
Montreal, QC, Canada
Complexe Desjardins Montréal, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Nov 20, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

As a Data scientist assigned to the Finance function, you play a key role in the technological aspect of Finance’s approach to innovation. You work directly with business teams to transform pain points, needs and opportunities, which are sometimes poorly defined, into concrete solutions by leveraging artificial intelligence, advanced analytics and automation. Your strength lies in building quickly and proving value. You’re comfortable in situations where the solution isn’t predefined and can quickly move from understanding a problem to creating a functional prototype. You design proofs of concept, pilots and minimum viable products (MVPs) in short cycles to test hypotheses and quickly inform the decision to continue, adjust, pivot or stop. You contribute, in particular, to developing and experimenting with new solutions using generative AI and AI agents. You also act as an artificial intelligence expert advisor for the Finance community, working closely with the Innovation team. Solutions that have demonstrated their value are then prepared for production with the relevant teams. More specifically, you will be required to:

Understand and structure sometimes ambiguous business problems, then identify and qualify, with the relevant teams, use cases with high potential for the application of AI, advanced analytics, and automation.
Assess the technical feasibility, business value and adoption potential of the proposed solutions to focus efforts on the most promising initiatives.
Quickly design and develop prototypes, proofs of concept, pilots, and MVPs in short cycles of a few weeks to test hypotheses, measure their value, and determine whether to continue, adjust, pivot or stop.
Develop artificial intelligence and data science solutions, including models, algorithms and solutions using generative AI, large language models (LLMs), AI agents or other relevant approaches depending on the problem to be solved.
Integrate various technologies, models, APIs and data sources to quickly build functional prototypes and concretely demonstrate their potential to users.
Explore, experiment with and compare new AI technologies and approaches in a rapidly evolving technological environment to inform choices and application possibilities within the Finance function.
Analyze and leverage financial and operational data to support experimentation, identify trends, risks and optimization opportunities, and inform the development of solutions.
Work directly with business teams, explain the possibilities and limitations of technologies plainly, support experimentation with users, and serve as an AI resource person for the Finance community.
Ensure the responsible, secure and compliant use of data and AI solutions, in alignment with the organization’s guidelines.
Prepare solutions that have demonstrated their value for production and scaling by documenting lessons learned, success factors and technical requirements, in collaboration with the relevant teams.

What we offer*

Competitive salary and annual bonus
4 weeks of flexible vacation starting in the first year
Defined benefit pension plan that provides predictable, stable income throughout retirement
Group insurance including telemedicine
Reimbursement of health and wellness expenses

* Benefits apply based on eligibility criteria.

What you bring to the table

Bachelor’s degree in statistics, mathematics, computer science, artificial intelligence, machine learning or a related field
A minimum of six years of relevant experience in data science, artificial intelligence, machine learning, development of analytical solutions or related fields
Please note that other combinations of qualifications and relevant experience may be considered
Hands-on experience in the design and implementation of prototypes, proofs of concept, pilots or MVPs in short cycles, from understanding the business need to demonstrating value to users
Hands-on experience in generative artificial intelligence, particularly in the design or prototyping of solutions using large language models (LLMs), AI agents, RAG approaches or other comparable technologies
Experience with APIs and modern AI solution development environments, and the ability to integrate various services, models and data sources to quickly build functional solutions
Demonstrated experience explaining complex technical concepts and influencing decision-making among non-technical audiences
Experience analyzing and structuring complex or poorly defined business issues, developing relevant hypotheses and quickly transforming them into concrete and measurable experiments
Knowledge of French is required
Proficiency in Python and SQL, combined with a strong knowledge of the main data processing, analysis, and modelling libraries
Knowledge of the corporate Finance/Accounting function or the ability to quickly understand a new business area

Action oriented, Complexity, Customer Focus, Differences, Innovation, Interpersonal Savvy, Nimble learning

Equity, Diversity, Inclusion and Accessibility

At Desjardins, we believe in equity, diversity and inclusion. We're committed to welcoming, respecting and valuing people for who they are as individuals, learning from their differences, embracing their uniqueness, and providing a positive workplace for all. At Desjardins, we have zero tolerance for discrimination of any kind. We believe our teams should reflect the diversity of the members, clients and communities we serve.

If there's something we can do to help make the recruitment process or the job you're applying for more accessible, let us know. We can provide accommodations at any stage in the recruitment process. Just ask!

Trade Union (If applicable)

Job Family

Data (FG)

Unposting Date

2026-11-3

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More about this job

Responsibilities

You will design and develop AI-driven prototypes and MVPs to solve complex financial business problems. You will also act as an expert advisor to the Finance community, ensuring the responsible and compliant integration of AI solutions.

Requirements

Candidates must hold a bachelor's degree in a relevant field and possess at least six years of experience in data science or AI development. Proficiency in Python, SQL, and hands-on experience with generative AI and prototyping are essential.

Skills

Data science
Artificial intelligence
Machine learning
Generative AI
Large language models
AI agents
Python
SQL
Prototyping
Advanced analytics
Automation
Financial data analysis
RAG approaches
API integration
Problem structuring

Benefits

Competitive salary
Annual bonus
Flexible vacation
Defined benefit pension plan
Group insurance
Telemedicine
Reimbursement of health and wellness expenses

Visa sponsorship

Not detected in the job text

Keywords

Data science
Artificial intelligence
Machine learning
Generative AI
Large language models
AI agents
Python
SQL
Prototyping
Advanced analytics
Automation
Financial data
RAG
API
Proof of concept
MVP
Finance
Accounting
Innovation
Data modeling
Algorithms
Technical feasibility
Business value
Compliance
Data security

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