Company: Sberbank PJSC
Location: Moscow, RU
Intern position at the portfolio risk modeling center for the development of ML models for retail business risks.
Tasks:
- participate in the full cycle of retail business risk model development: problem definition, data collection, ML model development, preparation of artifacts for implementation
- research data sources and modern architectures to improve model performance
- writing algorithms for risk-return issuance segmentation purposes
- presentation of research results to business customers
Requirements:
- experience in developing machine learning models (classic stack)
- knowledge of key methods and algorithms in Machine Learning
- knowledge of Python and libraries Pandas, Scikit-learn, XGBoost/LightGBM/CatBoost, Transformers
- database work skills, knowledge of SQL, PySpark
- high level of responsibility and independence
Conditions:
- paid internship
- option to choose a convenient schedule – office or hybrid (location: m. Kutuzovskaya)
- corporate gym and recreation areas
Skills:
- Python
- Pandas
- Scikit-learn
- XGBoost
- LightGBM
- CatBoost
- Transformers
- SQL
- PySpark
