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 developing data-driven models at ELEKS Artificial Intelligence Office. Analyzing data and building machine learning models to support insights and forecasting.
Responsibilities
- Develop and improve data-driven models to support forecasting, optimization, and business insights
- Analyze large and complex datasets to identify patterns, trends, risks, and opportunities for improvement
- Design, build, and validate machine learning models for prediction, anomaly detection, and analytical use cases
- Develop and maintain scalable data science workflows and collaborate closely with data engineers, analysts, and other stakeholders
- Translate business problems into analytical approaches and present insights and recommendations
- Support deployment of analytical models and ensure they are reliable, scalable, and maintainable in production environments
- Monitor model performance and continuously refine models based on new data and feedback
- Contribute to knowledge sharing and improvement of data science practices, tools, and methodologies within the team
Requirements
- 5+ years of experience in the data science field working with analytical and machine learning solutions
- Strong Python skills and practical experience with common data science and machine learning libraries
- Experience building predictive models and working with structured and unstructured datasets
- Hands-on experience with anomaly detection, statistical analysis, or advanced analytical techniques
- Experience developing optimization models or analytical solutions for decision support
- Degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related analytical field, or equivalent practical experience
- Solid understanding of data science methodologies, statistical modelling, and machine learning concepts
- Experience working with large datasets and applying analytical techniques to derive actionable insights
- Ability to communicate analytical findings clearly to both technical and non-technical stakeholders
- At least an Upper-Intermediate level of English
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