Associate Data Scientist
Core
Build Machine Learning solutions and ETL pipelines to uncover risk signals in financial crimes (AML, KYC, Fraud) using unstructured data and LLMs.
Role type
Associate Data Scientist (IC)
Builds
Production ML models, ETL pipelines, and Graphyte platform features for financial institutions and government agencies.
Domain
Financial Services / Financial Crime Risk Management / AML / KYC
Deliverable
production ML models | product features
Required skills
Statistics, Machine Learning, Python, SQL, PySpark, Scala, NLP, Data Structures, Algorithm Complexity
Preferred skills
Applied NLP (topic modeling, text classification, word embeddings, named entity extraction), Supervised/Unsupervised learning techniques
Technologies
Python, Scala, Java, R, SQL, Spark, PySpark, LLMs
Responsibilities
Design and maintain ETL pipelines for large complex datasets; Train machine learning models to solve complex problems; Implement Data Science solutions in Production Scala codebase; Leverage LLMs to scale data science tasks; Prototype and build complex ML solutions; Collaborate with Product and Platform teams to test hypotheses.
Seniority
Junior, hands-on IC
