Data Scientist (Consultant/ Senior Consultant) - Government Project
Core
Build and operationalize fraud-risk analytics models (FAM 2.0) to detect misuse of public training grants, including methodology review, dashboard development, and new scheme assessment.
Role type
Senior IC data scientist (fraud/risk analytics)
Builds
Production fraud-detection models and technical dashboards for monitoring model performance and data drift
Domain
Public sector / Government / Fraud analytics
Deliverable
production ML models
Required skills
Python, SQL, predictive modeling, fraud detection, model validation, feature engineering, data quality assessment, analytical documentation
Preferred skills
Tableau, CI/CD, MLOps, Spark/PySpark, AWS Redshift, AWS Glue, graph analytics, imbalanced data handling
Technologies
Python, SQL, Tableau, Spark, PySpark, AWS Redshift, AWS Glue
Responsibilities
Review and recalibrate model methodologies and thresholds; translate business/policy requirements into analytical logic; build monitoring dashboards for precision/recall and data drift; assess new schemes for fraud-risk coverage; communicate findings to stakeholders; produce reproducible code and documentation
Seniority
Senior, hands-on IC
