Manager, Data Science Job Description

Its responsibilities entail:
•    Responsible for creation, maintenance, and successful execution of a machine learning operation & delivery (MLOps) ecosystem for the continuous delivery of AI artifacts (models, analyses, and predictions) developed by the SCMAC BA CoE, to WRB markets and to WRB digital solutions.
•    Collaboration with a wide range of stakeholders including data scientists (SCMAC BA CoE), business analysts, governance, architect and software engineers (Enterprise Technology, CDO and WRB CIO Data Engineering teams) on the delivery of a fit-for-purpose big data ecosystem for building Financial Crime AI (ML/Gen AI) solutions in SCMAC BA CoE.
•    Use advance analytics, ML and AI for the identification and prevention of bad actors in the WRB customer portfolio (i.e., money mules, fraud, scams)
•    Develop real-time, scalable Data Science solutions together with the Financial Crime team deployable across different domains
•    Support the continuous improvement of the tools, technology, and data ecosystem available for all data roles in the SCMAC BA CoE.
•    Implement best practices for version control, testing and CI/CD in ML pipelines
•    Stay updated on emerging technologies and trends in MLOps, advanced AI (Gen AI) and cloud-based data and analytics platforms (Databricks, Dataiku).
•    Responsible for developing amd maintaining robust data workflows and pipelines using python and pyspark to process and analyze large-scale datasets to adopt new data feeds and feature stores, and in particular – incorporating our WRB unified data model (Athena) to reduce latency and improve the quality of data artifacts.
•    Ensure solutions adhere to SCB’s model, risk, compliance and responsible AI standards.