Data Scientist II
Job Description & How to Apply Below
Toronto, Ontario, Canada
Hours:
37.5
Line of Business:
Analytics, Insights, & Artificial Intelligence Pay Details:$81,600 - $115,200 CADTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience 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 field2+ 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 with cloud-based platforms such as Microsoft Azure Familiarity with Py Spark Knowledge of Banking or Financial Services
Who We Are:
TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience.
TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.
Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve…
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×