Teams at Node.Digital

Design, implement, and scale NLP and ML solutions to detect loan fraud and improper payments. Clean and analyze large unstructured corpora, build supervised and unsupervised models, support criminal investigations, document methodology to meet evidentiary standards, produce dashboards and reports, and coordinate with data engineering for production pipelines.

Design, implement, and maintain Azure-based ELT/ETL pipelines and data architecture. Migrate and normalize source data into ADLS, enforce quality controls, source control, documentation, and self-service analytics. Optimize storage/processing, audit pipelines, and explore AI-assisted tooling.

Design, test, and implement supervised and unsupervised statistical and ML models to detect loan fraud and improper payments. Support criminal investigations with data analysis, develop repeatable data pipelines, document methods for evidentiary use, and build visualizations and dashboards. Collaborate with investigators, data engineers, and leadership; automate tasks with Python and Office/Power Platform tools; and identify new analytic opportunities.