Associate Data Scientist
Core
Build ML-driven solutions for financial crimes risk management, combining internal and public data to assess risk in KYC, CDD, Fraud Risk Management, and AML processes.
Role type
Associate Data Scientist (IC)
Builds
Production ML models and NLP pipelines for financial institutions and government agencies
Domain
Financial Services / Anti-Money Laundering (AML) / Fraud Detection
Deliverable
production ML models
Required skills
Statistics, Machine Learning, Python, SQL, PySpark, NLP, Large Language Models (LLMs), Model Validation, Software Engineering (Scala)
Preferred skills
Applied NLP methods (topic modeling, text classification, word embeddings, named entity extraction), Random Forests, Boosting, Neural Networks
Technologies
Python, Scala, Java, R, SQL, Spark, PySpark, LLMs
Responsibilities
Perform exploratory data analysis and model training; Write complex pipeline code involving NLP enrichment; Productionize models in a Scala codebase; Validate models using standard and custom performance metrics; Leverage LLMs to scale data science tasks; Participate in code reviews
Seniority
Associate, early-career IC
