Jobs Companies TD Bank Data Scientist III

Über diese Data Scientist III Stelle bei TD Bank

TD Bank · Vor Ort · Toronto, Ontario

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$96,900 - $136,800 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:

TD's Analytics, Insights and Artificial Intelligence (AI2) team provides consultative support with data & analytics-based business insights and/or solutions to guide decision making and/or strategic planning. AI2 is an exciting team to be a part of as we are transforming how we provide key insights and opportunities for our business partners to better serve our customers.

The Wealth Operations Data Science team supports the day-to-day activities of the Wealth businesses, working with business partners to address their analytics needs by providing end-to-end support of reporting, analytics, insights, and artificial intelligence solutions.

Job Description:

As a Data Scientist III, you will be a technical delivery leader responsible for shaping, building, and sustaining analytics and AI capabilities. You will lead complex and innovative initiatives from opportunity identification and data discovery, through analytical solutions development, validation, deployment support, performance monitoring, and ongoing sustainment including optimization.

The leadership team will rely on your deep technical expertise, strong ownership, and delivery leadership. You will translate business needs into refined and scalable requirements for data science solutions, guide cross-functional partners through technical trade-offs, and ensure AI capabilities are designed and delivered to meet key AI2 & Wealth Operations objectives. 

Some of the key responsibilities of this role include the following:

Performance & Operations Analytics

  • Develop advanced analytical solutions / approaches to identify drivers of operational performance, uncover trends, and generate actionable insights across Wealth Operations.
  • Provide recommendations to improve workforce effectiveness and operational outcomes
  • Assess the impact of business initiatives and operational strategies using data driven methodologies, scenario modelling, forecasting, test and learn & experimentation to support informed decision making.
  • Translate business problems into structured analytical problems and conduct ad-hoc analysis including root-cause analysis and impact analysis to address business problems

Technical Solutions & Operationalization

  • Design, develop, and maintain scalable analytics solutions, decision support tools, dashboards, and visualizations that enable business partners to make data driven decisions.
  • Use Python, SQL, Power BI, Databricks, Visual Studio Code and AI enabled capabilities to automate analytical workflows
  • Partner with various technology, data engineering, and business teams to operationalize processes and improve adoption.

Innovation & Leadership

  • Apply sound judgment, creative thinking, and problem-solving skills to address complex business challenges and identify innovative opportunities
  • Stay current on emerging trends in analytics, AI, Agentic AI & Gen AI while contributing thought leadership and mentoring team members

Ad-hoc Analysis

  • Translate business problems into structured analytical problems and develop practical solutions
  • Conduct ad-hoc analysis including root-cause analysis and impact analysis to answer business problems

Stakeholder Management

  • Present analytical findings, recommendations, and business insights to stakeholders at all levels, including senior leadership and executive audiences, through effective storytelling, visualizations, presentations, and executive briefings.

Required Qualifications & Skills

  • Undergraduate degree in a quantitative discipline (e.g., Mathematics, Statistics, Data Science, Engineering, Economics, or Computer Science); graduate degree preferred.
  • 5+ years of relevant experience in data science, analytics, business intelligence, or a related field.

Technical Skills:

  • Advanced proficiency in Python, PySpark, SQL, and Databricks.
  • Experience with GitHub, Visual Studio Code, and version control best practices.
  • Experience developing dashboards and visualizations using Power BI.
  • Strong analytical and problem-solving skills with experience working with large, complex datasets.
  • Strong understanding of data structures and the ability to translate technical data into business insights.

Soft Skills:

  • Strong communication, presentation, and storytelling skills, with the ability to influence technical and non-technical audiences.
  • Strong analytical mindset and creative problem-solving abilities.
  • Demonstrated flexibility, agility, and sound judgment in a dynamic environment.
  • Ability to manage multiple priorities and work independently.
  • Strong stakeholder management and relationship-building skills.

Preferred Qualifications:

  • Knowledge of Wealth Management, AI product application in operational performance analytics is considered a very strong asset

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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Wie sich dieses Gehalt für Data Scientist vergleicht

Diese Stelle zahlt $84,723/yrim Einklang mit der üblichen Spanne für Data Scientist Stellen.

$73,964 dem Median $100,626 $167,187

Übliche Spanne $83,561–$124,438/yr, aus 16 vergleichbaren Data Scientist Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Scientist ansehen →

Über TD Bank

US Labor & Employment Posters | California Privacy | Accessibility | FAQ Our Values At TD we’re guided by our purpose to enrich the lives of our customers, communities and colleagues, and share a set of values that shape our culture and guide our behavior. In exchange for how our colleagues show up to help TD succeed, we are committed to delivering a colleague experience grounded in Impact, Growth and a Culture of Care. No matter where you work across TD, we empower you to make an impact at work and in your community, explore and grow your career and be part of our caring and inclusive culture. Our Commitment to Diversity, Equity, and Inclusion At TD, we’re committed to fostering an environm

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