Data Scientist II at TD in Toronto, ON

Job description

Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Analytics, Insights, & Artificial Intelligence Pay Details: $81,600 - $115,200 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Job Description: Department Overview The Analytics, Insights & Artificial Intelligence (AI2) team helps transform data into actionable insights that support strategic decision-making across TD. Within AI2, the Canadian Commercial Banking (CCB) team partners with business leaders, analytics professionals, and technology teams to deliver reporting, advanced analytics, and AI solutions that help drive growth, improve customer experiences, and support sound risk management. As part of our team, you'll have the opportunity to work on meaningful business challenges, leverage modern analytics technologies, and contribute to data-driven solutions that support commercial banking customers across Canada. Role Overview As a Data Scientist II, you'll work alongside colleagues and partners to transform data into insights and solutions that help the business make better decisions. You'll gain hands-on experience with data science, and business analytics while building a strong foundation for your career. Key Responsibilities Include: Explore and analyze large datasets to identify trends, patterns, and opportunities Translate business questions into structured analyses and actionable recommendations Develop reports, dashboards, and performance insights for business partners Develop datasets, queries, and analytical assets using Python, SQL, and enterprise data platforms Contribute to automating reporting processes and data pipelines Support the development and testing of machine learning and predictive analytics solutions Collaborate with business stakeholders, data engineers, and senior data scientists Help define analytical requirements and translate business needs into technical solutions Present findings and recommendations to a variety of audiences Apply data validation and quality control processes to ensure accuracy and reliability Support governance, risk, and control requirements related to analytics and AI solutions Contribute to the continuous improvement of analytics processes and best practices Required Qualifications Undergraduate degree in Statistics, Mathematics, Computer Science, Engineering, Economics, Data Science, Finance, or a related quantitative field 2+ years of relevant experience in analytics, data science, machine learning, or a related discipline Strong analytical and problem solving skills Ability to learn quickly and work in a fast-paced environment Strong communication and collaboration skills Ability to manage multiple priorities and meet deadlines Curiosity and a passion for using data to solve business problems Technical Knowledge/Skills Experience using Python and SQL for data analysis and data manipulation Familiarity with analytics python libraries Understanding of analytics and data exploration methodologies Experience working with structured datasets and relational databases Experience creating reports, dashboards, or visualizations using tools such as Power BI or Tableau Knowledge of data quality and validation practices Preferred Qualifications Internship, co-op, research, or project experience in data science, analytics, or relevant field Experience