Data Scientist III

TD•Portland, ME

2d•$96,130 - $155,950•Onsite

About The Position

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 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.

Requirements

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, LLMs, Generative AI, text classification, theme classification, and incorporating best practices for human in the loop accountability.
Strong compliance, data governance, data quality, and stakeholder management capabilities.
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.

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.