Data Scientist at Desjardins, a financial services cooperative, developing advanced analytics, machine learning and AI models. Advising stakeholders and supporting data - driven business decisions.
About the role
- Data Scientist II building and delivering end-to-end analytics and machine learning solutions at Intact. Collaborating across teams to enable data-driven decisions and improve impact metrics.
Responsibilities
- Build, validate, and deliver analytics and machine learning solutions that translate complex data into clear insights and recommendations.
- Write production-quality code that is stable, testable, and maintainable; contribute to shared standards through code reviews and documentation.
- Apply sound statistical and machine learning methodology (e.g., experiment design, appropriate validation, model evaluation, monitoring) and continuously improve how we measure quality and impact.
- Work independently on scoped problems—from ambiguity to implementation—taking ownership of technical tasks and driving them to completion.
- Recommend and use appropriate tools, packages, and libraries to solve problems efficiently and reliably.
- Partner closely with stakeholders across the organization to define success metrics, communicate trade-offs, and enable data-driven decisions.
- Support and elevate teammates by collaborating on technical challenges, sharing best practices, and contributing to a learning culture.
- Help the team stay focused on priorities by raising risks early, aligning on scope, and contributing to the technical direction and evolution of our approaches and platforms.
- Maintain and improve data science tools and platforms, helping ensure efficiency, reliability, and repeatability of our work.
Requirements
- Degree in a relevant discipline (e.g., mathematics, engineering, operations research, statistics, geomatics, AI) or an equivalent combination of education and experience.
- 2+ years of experience in advanced statistics, data mining, and/or text mining, with evidence of delivering real-world outcomes.
- Strong Python skills and Git-based development practices (e.g., version control, peer review); experience writing tests and producing clear technical documentation.
- Solid understanding of machine learning methods and when to use them; comfortable explaining results and limitations to both technical and non-technical audiences.
- Strong problem-solving skills and comfort operating in partially defined problem spaces.
- Strong communication, organizational, and time management skills in a multi-project environment.
- No Canadian work experience required however must be eligible to work in Canada.
Benefits
- Flexible work arrangements and a hybrid work model
- Possibility to purchase up to 5 extra days off per year
- Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more
- Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)
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