Data Scientist III

About this role

Work Location: Charlotte, North Carolina, United States of America Hours: 40 Pay Details: $96,130 - $155,950 USD 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.

Line of Business: Analytics, Insights, & Artificial Intelligence Job Description: At TD Bank US Compliance, we're on a mission to build a more resilient and scalable compliance risk management function. As part of our team, you'll play a key role in reshaping compliance structures and processes, driving innovation at every level. Here, each team member has a chance to make a tangible impact – both in day-to-day operations and in the design of a future-focused compliance program. This not just about implementing a new program – it's about creating a culture of compliance that will cascade throughout the organization.

The Ideal Candidate The Data Scientist III within the Fair and Responsible Banking 2LOD Complaints Team at TD will help to build the next generation of complaint intelligence and reporting capabilities.  The ideal candidate will possess strong data science, analytics, visualization, and leading technology skills with a practical understanding of compliance, risk, and data governance.  This role will be at the forefront of transforming complex customer complaint data into actionable insights that support US Compliance stakeholders, senior management, and multiple committees across TD.  The successful candidate will be comfortable interfacing with a myriad of complaint data stakeholders, translating business needs into scalable complaint data products, tools, and reports, as well as embracing AI enabled capabilities, including Machine Learning, NLP, and LLMs while fostering clear human in the loop controls, transparency, and governance.

Key Responsibilities • Design and develop modern complaint intelligence capabilities that transform complaint data into meaningful, action insights to inform compliance, risk mitigation, and identify potential customer harm.

• Develop and maintain a robust inventory of complaint dashboards, reporting, and analytics products using software tools such as Power BI, Python, SQL, R, Excel, and PowerPoint to deliver decision ready information to TD partners.

• Apply advanced analytics, machine learning, NLP, and LLM capabilities to identify complaint trends, emerging risks, themes, root causes, and customer impact to inform compliance strategies.

• Launch new complaint data products and analytical tools from requirements gathering, design, development, testing, implementation, and ongoing maintenance.

• Provide effective oversight of 1LOD complaint data handling including complaint taxonomy, data methodology, data quality, data completeness, data lineage, controls, and data interpretation.

• Translate complex analytical findings from complaint data into compelling business narratives, tailoring insights, visualizations, dashboards, and presentations to different audiences.

• Ensure responsible AI and human in the loop approaches consistent with TD policies, procedures, and governance requirements.

The above details are specific to the role which is outlined in the Job Description Summary below. Please review the Desired Skills and Experience section below as you consider this opportunity.

Job Description Summary The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.

Depth & Scope: • Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability

• Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels

• Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes

• Position typically deals with senior/executive management

• Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size

• Focuses on longer-range planning for functional area (e.g. 12 months or greater)

• May manage and prioritize multiple projects at a given time

Education & Experience: • 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

• 5+ year of relevant experience; higher degree education and research tenure can be counted

Desired Skills & Experience: • 5+ years of experience in Data Science, Advanced Analytics, and Business Intelligence, preferably within banking or financial services.

• Advanced technical and analytical expertise including Python, R, SQL, machine learning, statistical analysis, NLP, and working with large and complex datasets.

• Strong business intelligence and data visualization skills with practical experience using Power BI and or Tableau, Excel, and PowerPoint skills to develop executive level dashboards and data summaries.

• Proven experience applying AI and advanced analytics to unstructured data, including NLP, LLM

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