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Added 5 mins ago
A
Data Engineer Analyst
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Toronto, ON
- Full-time
Knowledge of statistical analysis, quantitative analysis, and forecasting/predictive analysis.
Added 6 mins ago
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…over $20 billion under management, offering both managed and quantitative investment products. Much of what is available to the average Canadian investor today is outdated and expensive.…
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Communications and Research Impact Specialist
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Support the coordination of qualitative and quantitative research activities, including data collection, project implementation, and mixed-methods evaluation approaches.
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Sound understanding of wholesale banking products including derivative instruments and a good grasp of quantitative data analysis
Added 2 hours ago
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Added 2 hours ago
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Senior Trader
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- Full-time
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Strong analytical skills, both quantitative and qualitative, and a solid background in Excel.
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Research Associate, Indigenous Brain Health, Family Medicine
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Analyst, Metals & Mining Investment Banking
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Added 3 hours ago
AS
Quantitative Developer
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Toronto, ON
- Full-time
Our financial services client is seeking two Quantitative Developers to join its Quantitative Research & Development (QRD) team. The team develops quantitative models, pricing frameworks,…
Added 3 hours ago
A
Manager, Data Engineering
Avanade
Toronto, ON
- Full-time
You likely possess an advanced degree in a quantitative field such as computer science, applied mathematics, statistics, or machine learning. At Avanade we also support an equivalent…
Added 3 hours ago
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Desjardins

Senior Data Science Advisor

Toronto, ON, Canada
Mississauga, ON, Canada
Montreal, QC, Canada
Levis, QC, Canada
Calgary, AB, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Oct 27, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

As a senior data science advisor, you provide the data needed to make business decisions, develop solutions and services adapted to business issues and operational process optimization research. You lead business partners on projects to develop models tailored to a wide range of business needs and on complex strategic initiatives related to advanced analytics and artificial intelligence. You help solve business issues with a high level of conceptual and operational complexity, particularly in the field of claims management, which necessitates the exploration of multiple data sources, as well as the ability to analyze and understand the property and casualty insurance industry in a comprehensive and detailed way. You interact with many colleagues, partners and clients from a wide range of fields to understand and communicate issues and influence decision making. More specifically, you will be required to:

Explore and assess various structured and unstructured data sources, determine their relevance and quality and prepare enriched modelling datasets by leveraging statistical and actuarial expertise along with feature engineering techniques in connection with a broad range of complex predictive modelling initiatives
Analyze client and partner business needs, generate hypotheses and lead initiatives, taking into account the specifics of their operationalization and ensuring coordination during the rollout
Use advanced statistical, machine learning and artificial intelligence methods to use data, and develop and optimize models and segmentations that meet business needs
Design, develop and implement analytical processes, scripts and reusable tools to support data preparation and analysis, as well as the development, evaluation, deployment, monitoring and maintenance of highly complex analytical models
Translate analytical findings into clear, actionable recommendations to inform strategic decision-making and foster innovation across business units
Draft modelling guidelines and methods, ensuring that the models will meet specifications and perform optimally. Help develop documentation and prepare and deliver training to support sound change management
Identify opportunities to improve rules and systems, anticipate underlying impacts of changes and make improvements to data management tools

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 and telework equipment

* Benefits apply based on eligibility criteria.

What you bring to the table

Bachelor’s degree in statistics, mathematics, actuarial sciences or a related field
A minimum of six years of relevant experience in actuarial or data science, including the development of predictive models and spatial analysis
Please note that other combinations of qualifications and relevant experience may be considered
Academic specialization in a quantitative field (such as a certificate, master’s degree or PhD)
Knowledge of French is required for positions in Quebec
Advanced proficiency of English due to the nature of the duties or work tools or because the position involves interactions with English-speaking partners, members and/or clients
Expertise in at least one data analytics programming language (Python or R) and one data manipulation language (SAS or SQL)
Strong command of statistical approaches and machine learning methods, including regression, decision trees, ensemble learning techniques (for example, random forests and gradient boosting), clustering and neural networks
Practical knowledge of leading data science libraries (machine learning, deep learning, natural language processing, spatial analyst, visualization)

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

2026-10-26

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More about this job

Responsibilities

You will lead complex data science projects to develop predictive models and provide actionable insights for business decision-making. Additionally, you will design analytical processes and tools while collaborating with cross-functional partners to optimize operational performance.

Requirements

The role requires a bachelor's degree in a quantitative field and at least six years of relevant experience in actuarial or data science. Candidates must possess advanced proficiency in English and expertise in programming languages like Python or R alongside statistical modeling techniques.

Skills

Data science
Predictive modeling
Statistical analysis
Machine learning
Artificial intelligence
Python
R
SAS
SQL
Regression
Decision trees
Ensemble learning
Clustering
Neural networks
Data visualization
Natural language processing

Benefits

Competitive salary
Annual bonus
Flexible vacation
Defined benefit pension plan
Group insurance
Telemedicine
Health and wellness expense reimbursement
Telework equipment

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Predictive Modeling
Artificial Intelligence
Machine Learning
Actuarial Science
Statistics
Python
R
SAS
SQL
Regression
Decision Trees
Ensemble Learning
Clustering
Neural Networks
Natural Language Processing
Data Visualization
Spatial Analysis
Claims Management
Insurance
Property and Casualty Insurance
Strategic Initiatives
Data Management
Feature Engineering
Analytical Processes
Change Management
Hybrid Work
Quantitative Analysis

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