Data Scientist II

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 with cloud-based platforms such as Microsoft Azure Familiarity with PySpark 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 their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more Additional Information: We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home. Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements. Colleague Development If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact. We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best. Training & Onboarding We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role. Interview Process We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call. Accommodation Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process. We look forward to hearing from you! Language Requirement (Quebec only): Sans Objet

The Data Scientist II will explore large datasets to identify trends and translate business questions into actionable recommendations. They will also develop analytical assets, automate reporting processes, and support the implementation of machine learning solutions.

Candidates must hold an undergraduate degree in a quantitative field and possess at least 2 years of relevant experience in data science or analytics. Proficiency in Python and SQL, along with strong problem-solving and communication skills, is required.

• Health and well-being benefits • Savings and retirement programs • Paid time off • Banking benefits and discounts • Career development • Reward and recognition programs

• Visualisation de donnéesSouhaitée
• Power BISouhaitée
• SQLSouhaitée
• TableauSouhaitée
• Résolution de problèmesSouhaitée
• Analyse de donnéesSouhaitée
• Apprentissage automatiqueSouhaitée
• CommunicationSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• SQL
• Data analysis
• Data manipulation
• Machine learning
• Predictive analytics
• Power BI
• Tableau
• Data visualization
• Statistical analysis
• Data quality
• Data validation
• Reporting
• Analytical modeling
• Problem solving
• Communication
• Business Problems
• Quality Control Processes
• Strategic Decision Making
• Ability To Meet Deadlines
• Curiosity
• Time Off Management
• Reporting Processes
• Advanced Analytics
• Quick Learning
• Research
• Artificial Intelligence
• Data Analysis
• Automation
• Microsoft Azure
• Banking
• Financial Institution
• Business Analytics
• Commercial Banking
• Dashboard
• Investments
• Computer Science
• Continuous Improvement Process
• Training And Development
• Creativity
• Data Validation
• Data Manipulation
• Data Quality
• Relational Databases
• Discounts And Allowances
• Economics
• Finance
• Financial Services
• Governance
• Leadership

• Data & Analytics
• Technology
• Finance & Accounting
• Software
• Data Scientist
• Systems Analysts
• Data Scientists

Formation minimale

Baccalauréat

Expérience minimale

2+ ans

Postuler avant le

1 sept. 2026

Langue de l’offre

anglais

Heures de travail

38 heures par semaine