Role Title: Senior Data Scientist
Location: Toronto (Hybrid - 3 days onsite/week)
Duration: 12 months
Start Date: ASAP
About the Role:
Join a collaborative Data and AI team supporting Wealth Management initiatives. As a Senior Data Scientist, you'll contribute to research-driven proof-of-concept projects by developing and deploying predictive models, conducting data analysis, and delivering actionable insights.
Key Responsibilities:
- Collaborate with lead data scientists on model development and deployment
- Clean, organize, and prepare large datasets for analysis
- Perform exploratory data analysis and communicate key findings
- Create visualizations and reports to support data-driven decisions
Required Skills & Experience:
- Bachelor's degree in Computer Science, Software Engineering, Statistics, or a related STEM field (Master's/PhD an asset)
- 2+ years of professional experience in data science
- Solid and Strong proficiency in Python and SQL
- Ability to quickly understand new datasets and adapt to new tools
- Clear communicator with strong analytical thinking
- Experience with Agile development and DevOps tools (e.g., Jenkins, GitHub Actions)
- Banking experience
Nice-to-Have:
- Experience with Agile development and DevOps tools (e.g., Jenkins, GitHub Actions)
- Exposure to Generative AI, Large Language Models (LLMs), and agentic systems
- Familiarity with deploying ML applications in hybrid/on-prem and cloud environments (AWS, Azure)