Principal Associate, Data Scientist - Bank Operations Data Science
Core
Building machine learning models for core internal capabilities like check/document reading, anomaly identification, NLP of calls, and operational forecasting to streamline call center operations.
Role type
Principal Associate, Data Scientist (Bank Operations)
Builds
Production ML models for document processing, call summarization, and operational forecasting
Domain
Financial services / Banking operations
Deliverable
production ML models
Required skills
Machine learning model development, statistical modeling, deep learning, clustering, classification, sentiment analysis, time series analysis, Python, SQL, cloud computing platforms, LLM risk mitigation
Preferred skills
AWS experience, Scala or R, technical documentation
Technologies
Python, Snowflake, AWS, neural networks, LLMs, transformer architectures
Responsibilities
Partner with cross-functional teams to deliver products, build ML models through design to implementation, leverage data stacks to reveal insights, work with call center operations to streamline processing
Seniority
Principal, hands-on IC with strategic impact
