MTS Bank is one of the key development directions of the MTS Group. We develop digital financial products and services at the intersection of banking and telecom.
What is important to us:
- technical/mathematical/economic education
- python, machine learning (sklearn, catboost/lightgbm/xgboost, statsmodels, numpy/pandas), data visualization and profiling
- experience with mlops (mlflow, dvc, git, docker), experience in organizing training pipelines as modules and pipelines in kedro/dvc/mlflow will be a plus
- SQL, writing and optimizing queries
- experience with oracle will be a plus
- experience with mathematical optimization tasks in marketing or operational research (SAS, Python MIP, PYOMO and similar) will be a plus
You will be:
- developing ML models for predicting customer behavior (activation, churn, spending)
- developing personalization models for categories and amounts of cashback
- preparing data for training and applying models
- exploring new data sources and developing features to improve model quality
- conducting the full cycle of training, validation, and implementation of models into industrial operation
- evaluating model quality on historical data and in real pilots
- conducting A/B tests and analyzing the results of model implementation
- monitoring model quality and organizing retraining processes
