Artificial intelligence is becoming an essential part of modern IT systems, and machine learning models allow monetizing these organizations, creating new competitive advantages.
Our Data Science team specializes in creating machine learning and artificial intelligence models using the programming languages and infrastructure R, Python, and Spark MLLib, and includes three centers of competencies.
The Competence Center for Risk Modeling and Treasury Optimization specializes in creating scoring models (credit and collection scoring), models of default probability (PD) and loss in case of default (LGD) used for IFRS9, as well as models used to build a dynamic balance Bank (profiles of outflow of deposits and early repayment, forecasting balances on current accounts, elasticity models and optimization models).
The Competency Center for Optimizing Operational Efficiency focuses on the development of anomaly search models, predictive maintenance equipment prediction, as well as solving a wide range of classification problems, including using NLP technologies, in order to increase the productivity of analysts or operational staff.
The Client Data Monetization Competency Center is developing models of the outflow and optimization of client communications that can be used in planning marketing campaigns and developing recommendation systems.