Job Overview
Build machine learning and decisioning models for banking use cases. Engineer features and develop fraud, risk, retention and propensity models. Apply generative AI and large language models. Take solutions into production and mentor data scientists.
Required Qualifications
Degree in data science, computer science, statistics, engineering or related field. Experience with Databricks, MLflow, Python, SQL, machine learning, statistical modelling and production deployment.
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