TD · 15 hours ago
Applied Machine Learning Scientist I (Traditional AI)
New York, New York
Full-time
Hybrid
New Grad, Entry Level
$76K/yr - $125K/yrTD Bank is one of the world's leading global financial institutions, and they are seeking an Applied Machine Learning Scientist I to provide technical expertise on advanced analytics and machine learning. The role involves developing and applying statistical and AI/ML techniques to solve business problems and provide actionable insights.
BankingFinanceFinancial ServicesWealth Management
Responsibilities
Develop robust and reliable solutions leveraging advanced techniques, such as advanced statistics, machine learning and AI, NLP, geospatial analytics, storytelling & visualization, helping to solve strategic business challenges and enable insightful actions
Leverage a broad stack of technologies and platforms and packages— Python, Azure DataBricks, PySpark, PyTorch, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Work closely with various stakeholders, to successfully move the project through all phases of the model lifecycle, from ideation and design through data gathering, training, evaluation, control and governance partners review and approval process, implementation, and ongoing monitoring and maintenance, with minimal supervision
Effectively communicate model design and results to senior leaders and business partners, articulate the business problems from a technical/quantitative definition and facilitate key strategic discussions and provide thought leadership
Provide expertise on mathematical concepts for the broader analytics team and inspire the adoption of advanced analytics and machine learning across the organization
Maintain full professional knowledge of techniques and developments in the field of Machine Learning and AI, and share knowledge with peers, business partners, and senior management
Maintain relationship with the team's strategic partners, such as business teams, AI2, and governance and control partners
Qualification
Required
Undergraduate degree required, advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience
Preferred
Experience in predictive modelling using various ML/AI techniques, with a particular focus on tree-based models such as XGBoost
Formal training or substantive experience in a quantitative field such as Computer Science, Statistics, Mathematics, or relevant fields
In-depth knowledge of ML/AI algorithms and techniques, such as Gradient Boosting Method, NLP, modern deep Neural Networks, and time series forecasting
Full stack experience in data science product delivery, including data collection, aggregation, analysis, and visualization, development and testing, implementation, and monitoring
Proficiency in Python, PySpark, PyTorch, and SQL programming languages as well as object-oriented programming
Familiarity with version control software or platform such as Git, Bitbucket or Github
Strong analytical and problem-solving skills are required to interpret data and draw conclusions
Ability to work independently and collaboratively in a fast-paced, dynamic environment
Excellent written and verbal communications skills
Good time management and project management skills with minimal supervision
Experience with distributed computing and parallel processing on large data sets using Spark
Ability to research and implement Machine Learning algorithms from academic research papers
Benefits
Health and well-being benefits
Savings and retirement programs
Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
Banking benefits and discounts
Career development
Reward and recognition
Company
The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD).
Founded in 1852
10001+ employees
H1B Sponsorship
TD has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
2020 (6)
Funding
Current Stage
Late StageTotal Funding
$65MKey Investors
U.S. Department of the Treasury
2023-10-03Grant· $65M
Leadership Team
Brian Jacobson
Chief of Staff to the CEO, TD Bank, America's Most Convenient Bank
F
Foster Glenn
SVP, Chief Information Security Officer
Recent News
2026-01-11
Winnipeg Free Press
2026-01-09
2026-01-06
Company data provided by crunchbase