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About the Role

As a Data Scientist II in Business Banking, you will design, develop, and deliver advanced analytics solutions to support data-driven decision making. You will collaborate with business owners, technology partners, and cross-functional teams to understand objectives, identify data needs, and deliver actionable insights that drive strategic improvement. This role combines technical expertise, analytical thinking, and business partnership to translate complex business problems into scalable data assets, insights, and automated analytics that deliver measurable outcomes.

Responsibilities

Leverage analytics, statistical modeling, machine learning, and data mining techniques to uncover insights, support data-driven decision-making, and optimize business outcomes.
Partner with business stakeholders to understand objectives, gather requirements, and translate business needs into analytical solutions.
Use programming languages (Python, Pyspark, SQL) to extract and prepare data, apply statistics and various advanced analytics along with business acumen to inform recommendations and insights from large datasets.
Visualize insights from data to 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 AIML scientists, data and business analysts, and product owners to develop scalable solutions that retain long term benefit to the business.
Clearly communicate the value, principles and math behind the scientific process such as hypotheses testing and statistical validation to drive organizational excellence.
Provide thought leadership and/or industry knowledge for own area of expertise and participate in knowledge transfer within the team and business unit.

Requirements

Undergraduate or advanced technical degree (e.g., math, statistics, engineering, finance, or computer science); graduate's degree preferred with progressive work experience.
3+ years of relevant experience in analytics, data science and/or consulting, ideally in an influencing or advisory capacity.
Demonstrated knowledge and application of analytical languages/tools/platforms such as Python / Pyspark, SQL, Tableau, PowerBI, Databricks, on large datasets with a track record of delivering business impact and results.
Strong problem-solving skills, with the ability to navigate ambiguous issues and deliver well-defined solutions.
Excellent communication skills, with experience presenting insights to executive leaders and business partners.
Able to participate as part of a team with targeted deliverables, working on initiatives designed to improve decisions, processes, systems, and applications which support our businesses.
Experience developing data-driven strategies, analytical frameworks, or decision-support solutions is considered a strong asset.

Skills

Python
Pyspark
SQL
Tableau
PowerBI
Databricks
SAS

Location

Toronto, Ontario, Canada

Work Type

Full-time

Experience Level

3+ years of relevant experience

Education Level

Undergraduate or advanced technical degree
Graduate's degree preferred

Salary/Compensations

$81,600 - $115,200 CAD

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs
Training programs
Online learning platform
Mentoring programs

About the Company

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.
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.
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.

Equal Opportunity

We're committed to providing the support our colleagues need to thrive both at work and at home.
We hire and develop the best.
We 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.
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.