Data Scientist - Detections (1 year FTC)

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Requirements:

• Experience building and deploying ML models using the Python data stack (numpy, pandas, sklearn).
• Understand software engineering best practices (version control, unit tests, code reviews, CI/CD) and how they apply to machine learning engineering.
• Strong analytical skills.
• Being a strong collaborator with colleagues outside of your immediate team, for example with client support teams or engineering.
• Being skilled at communicating complex technical ideas to a range of audiences.
• The ability to prioritise and to manage your workload.
• Being comfortable working with a hybrid team.

Responsibilities:

• Build out our model evaluation and training infrastructure.
• Develop and deploy new models to detect fraud whilst maintaining SLAs.
• Write new features in our production infrastructure.
• Research new techniques to disrupt fraudulent behaviour.
• Investigate model performance issues using your experience of debugging models.