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
#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)
Action oriented, Business insight, Communicates effectively, Complexity, Customer Focus, Differences, Nimble learning, Situational adaptability
Trade Union (If applicable)
Junior Data Science Analyst, Modelling and Best Practices • Montréal
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