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Data Scientist II

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Oct 12, 2026
Experience: 3+ year of relevant experience; higher degree education and research tenure can be counted.
Posting language: English
Posted: Oct 8, 2026

Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

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:

Responsible for collecting data and using wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning

CUSTOMER

Understand business context and data infrastructure and translate business problems to viable data science solutions.
Use a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
Collaborate with other partners, such as data and business analysts, software engineer, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business.

SHAREHOLDER

Solicit and offer ideas for improving business processes through insights with the objective of improving effectiveness and efficiency.
Educate the organization on approaches, such as testing hypotheses and statistical validation of result.
Help the organization understand the principles and the math behind the scientist process to drive organizational alignment.
Translate up to date information into continuous improvement activities that enhance performance.
Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
Ensure respective programs/policies/practices are well managed, meets business needs, complies with internal and external requirements, and aligns with business priorities.
Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
Monitor service, productivity and assess efficiency levels within own function and implement continuous process / performance improvements where opportunities exist.
Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.

EMPLOYEE / TEAM

Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit.
Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
Participate in personal performance management and development activities, including cross training within own team.
Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
Contribute to a fair, positive and equitable environment that supports a diverse workforce.
Act as a brand ambassador for your business area/function and the bank, both internally and/or externally

BREADTH & DEPTH:

Work autonomously within a specialized business management function and may provide work direction to others.
Provide seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members.
Scope of role may have enterprise impact.
Focus on short to medium - term issues (e.g. 6-12 months)
Undertake and complete a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise.
Oversee and/or independently perform tasks from end to end.
Generally, reports to a Senior / Manager role.

EXPERIENCE AND / OR EDUCATION

Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
3+ year of relevant experience; higher degree education and research tenure can be counted.

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

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More about this job

Responsibilities

The Data Scientist II is responsible for collecting data and applying advanced analytics techniques to uncover actionable insights that guide strategic decision-making. They collaborate with cross-functional teams to build scalable data science solutions and educate the organization on statistical methodologies.

Requirements

Candidates should possess an undergraduate or advanced technical degree in fields such as math, physics, engineering, or computer science. A graduate degree is preferred, along with at least 3 years of relevant experience or progressive project work.

Skills

Data science
Data wrangling
Data profiling
Data visualization
Statistical inference
Python
Advanced analytics
Business acumen
Big data
Statistical validation
Risk management
Strategic planning
Mentorship
Communication
Problem solving

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Analytics
Artificial Intelligence
Python
Data Wrangling
Data Profiling
Data Visualization
Statistical Inference
Big Data
Strategic Planning
Risk Management
Governance
Continuous Improvement
Stakeholder Management
Mentorship
Financial Services
Banking
Cross-functional Collaboration

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