Data Scientist I

Overview

This position is based in Toronto, Ontario, Canada, with a standard workweek of 37.5 hours. The role falls under the Analytics, Insights & Artificial Intelligence (AI2) department within TD Wealth, which collaborates closely with business units to convert data into meaningful insights, analytical solutions, and AI capabilities that enhance strategic decision-making across Wealth businesses.

TD emphasizes equitable compensation, with a salary range for this role between 69,700 and 98,400 CAD annually, determined by candidate expertise, location, and specific organizational factors. The aim is to support career growth and skill enhancement over time.

Role Description

The Data Scientist I will be instrumental in designing and delivering analytics, reporting, and AI-based tools that empower business stakeholders to better gauge performance, uncover opportunities, and make informed decisions. This collaborative environment provides an excellent platform to develop skills in data science, cloud technologies, business intelligence, and artificial intelligence.

Key Duties

• Build and oversee analytics, reporting, and AI solutions using Python, SQL, and cloud platforms like Azure Databricks.
• Develop and maintain data pipelines and curated datasets to enable reporting and advanced analytics.
• Examine structured and unstructured data to highlight trends, patterns, and actionable insights.
• Engage with business partners to translate their requirements into effective analytical solutions.
• Create and improve dashboards and reports utilizing Power BI, Tableau, or similar visualization tools.
• Communicate analytical outcomes effectively to both technical and non-technical stakeholders.
• Ensure data quality and governance standards are upheld in analytics deliverables.
• Participate in initiatives focused on process automation, continuous improvement, and creation of reusable analytical components.
• Keep up-to-date with innovations in analytics, AI, and data science fields.

Candidate Profile

• A bachelor’s degree in quantitative or technical disciplines such as Mathematics, Statistics, Computer Science, Engineering, Economics, Finance, or related fields.
• Between 1 to 3 years’ experience in Data Science, Analytics, Business Intelligence, Data Engineering, or a comparable domain.
• Proficiency in Python and SQL for data handling with large datasets.
• Understanding of data science principles including statistical methods, data preprocessing, and exploratory data analysis.
• Experience designing dashboards and reports with Power BI or Tableau.
• Familiarity with cloud-based data platforms and big data tools like Azure Databricks or Apache Spark is beneficial.
• Excellent analytical and problem-solving abilities with comfort in ambiguous scenarios.
• Quick adaptability to new technologies, tools, and methodologies.
• Strong oral and written communication skills and effective teamwork capabilities.
• Exposure to machine learning, AI, Generative AI, or advanced analytics through studies or projects is an advantage.

About TD

TD is a leading global financial institution, ranking as the fifth largest bank in North America by branches. We serve over 27 million customers across Canada, the U.S., and globally, fostering meaningful connections and delivering a simple, efficient banking experience. Our workforce surpasses 95,000 employees committed to client-centricity and innovation.

Compensation and Benefits

TD offers a comprehensive Total Rewards program that encompasses base salary, performance-based incentives, health and wellness benefits, retirement plans, paid leave, banking privileges, professional development, and recognition initiatives. The organization supports employee growth through ongoing training, mentoring, and career development opportunities.

Additional Information

TD provides regular feedback, career discussions, and mentorship programs to help employees advance their careers. Candidates should be aware that this role abides by provincial employment regulations within Canada. The company ensures an inclusive, respectful workplace welcoming diverse perspectives and providing equitable growth opportunities.

Training, Onboarding & Recruitment Process

New hires will participate in onboarding and training sessions tailored to prepare them for success. The hiring process involves interviews scheduled with selected candidates, with communication provided to all applicants regarding outcomes. Accessibility accommodations are offered to ensure a barrier-free recruitment experience.