Data Scientist
Core
Analyze customer and transaction data to detect financial crime, provide methodical guidance to clients, and develop machine learning pipelines.
Role type
Client-facing data scientist (financial crime)
Builds
Cloud-based applications for financial crime detection and monitoring systems
Domain
Financial services / Anti-Money Laundering (AML)
Deliverable
production ML models | client delivery
Required skills
Machine learning (classification, clustering), mathematical optimization, Python, SQL, Git
Preferred skills
Distributed processing (Dask, Spark), neural networks, graph algorithms, natural language processing, Anti-Financial Crime experience
Responsibilities
Analyze data about customers and transactions, provide methodical guidance to clients, transform data and understand its business meaning, create machine learning pipelines, develop new forms of visualisations, prepare new engagement proposals
Seniority
Associate / Junior
