As a Junior Data Scientist for the Modelling and Best Practices Competency Centre within the Actuarial Department, you will support the use of data science techniques to enhance actuarial modelling. Working within MBP as a central, collaborative team, you will partner closely with data scientists, actuaries, BI teams, and other analytical stakeholders across the organization, contributing to the development and maintenance of automated pipelines, analytical models, and supporting data assets used for modelling. This entry‑level role provides hands‑on exposure to production data science in a regulated insurance environment and opportunities to grow your skills in modelling, data engineering, and analytics operations. More specifically, you will be required to:
Develop and maintain analytical workflows and tools to support home and auto insurance segmentation initiatives
Assist in building, testing, and monitoring statistical models used for actuarial models
Contribute to data architecture and analytical workflows by preparing and maintaining data sources, transformations, and dependencies used in production pipelines
Support model orchestration by preparing and maintaining orchestration pipelines, performing testing and validation, merging changes through DevOps/Git workflows, and producing technical documentation to ensure models are production‑ready
Contribute directly to statistical modelling and analytics, applying and continuously improving best practices in model development, documentation, and performance monitoring
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.
#ON08*
What you bring to the table
Bachelor's degree in data science, statistics, mathematics or computer science
A minimum of two years of relevant experience
Please note that other combinations of qualifications and relevant experience may be considered
Knowledge of French is required for positions in Quebec
Advanced experience building and maintaining analytics workflows in Microsoft Azure (e.g., Azure Data Factory, Databricks, Synapse), with solid Git/DevOps practices.
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
Advanced programming proficiency in Python and R (and/or SAS)
Trade Union (If applicable)
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!
Job Family
Actuarial Services (FG)Unposting Date
2026-02-26Top Skills
Desjardins Montréal, Québec, CAN Office
1 Complexe Desjardins, , Montréal, QC , Canada, H2X
Similar Jobs
What you need to know about the Montreal Tech Scene
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
