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Staff Data Scientist - AML

Wise · London

£119k–£164k2 months ago

HybridFull_timeanti-money launderingfinancial crime detectionfraud detection

Salary

£119k–£164k

Workplace

Hybrid

Employment

Full_time

Location

London

Posted

2 months ago

Summary

Staff Data Scientist role focused on building production machine learning systems for anti-money laundering and financial crime detection at Wise in London. The role is hybrid and involves Python, deep learning, anomaly detection, graph-based models, LLM orchestration, and AI agent frameworks.

Responsibilities

  • Lead development and deployment of machine learning models
  • Design modular aml detection systems for regional typologies
  • Integrate llms with ai agents in production
  • Conduct large-scale training and hyperparameter tuning
  • Define performance metrics for model outputs
  • Design data collection, curation, and augmentation strategies
  • Document models, features, and maintenance processes
pythonneural networksdeep learninganomaly detectiongraph-based modelstransformerstensorflowpytorchllamaindexlanggraphmcpllm orchestrationhyperparameter tuning
anti-money launderingfinancial crime detectionfraud detectionreal-time transaction monitoringanomaly detectionllm applications