Data Scientist

About the role We are seeking a Data Scientist to support 4–5 product squads delivering AI-enabled solutions and workflow transformation initiatives for government agencies. This role focuses on leveraging large-scale operational data to uncover insights, identify anomalies and risk patterns, and develop predictive models that enhance decision-making and operational efficiency. The ideal candidate will be comfortable working across the full data science lifecycle, from exploratory analysis and model development to building scalable data pipelines and deploying production-ready solutions.

Analyze large operational datasets to identify trends, anomalies, outliers, and risk indicators. Develop analytical solutions involving anomaly detection, clustering, segmentation, and risk-scoring methodologies. Build and evaluate supervised machine learning models using historical and labeled datasets.

Perform feature engineering using both structured and unstructured data sources. Design and execute model evaluation frameworks, including precision, recall, false-positive, and false-negative analysis. Collaborate with domain experts to integrate analytical outputs into operational workflows and business processes.

Build and maintain scalable data processing and feature engineering pipelines. Develop and deploy production-ready models and scoring solutions integrated with applications used by delivery teams. Monitor model performance, data quality, and potential data dri