Unlock your potential as a Data Scientist at BMO Financial Group in Toronto. This 12-month hybrid role focuses on advanced analytics, machine learning, and data strategy to enhance decision-making. As a Data Scientist, you will utilize your expertise to extract insights from structured and unstructured data.

Your deep understanding of machine learning and statistical methods will enable you to develop predictive models and provide vital recommendations for business leaders. Additionally, you will work closely with data engineers to optimize data ETL processes, engaging in comprehensive analyses to spot trends impacting business strategies. Key Responsibilities:

- Analyze large datasets to uncover actionable insights
- Develop predictive models using machine learning algorithms




- Collaborate with product teams to enhance decision-making
- Conduct exploratory data analysis and feature engineering
- Optimize data processes with ETL methodologies Requirements:
- 5-7 years of experience in data analytics
- Proficient in Python and SQL
- Knowledge of machine learning algorithms and data visualization
- Robust analytical and problem-solving skills
- Understanding of trust, bias, and ethics in data handling Experience the intersection of data science and strategic business improvement at BMO, where your skills will drive innovation.

📌 Hybrid Data Scientist at BMO Financial Group (Toronto)
🏢 Bank of Montreal
📍 Toronto