Intern in Sber's Data Science team, which models credit portfolios. You will need to build ML models for predicting early repayments and elasticity, and work with large banking data.
Tasks:
- Conduct analytics and monitor model performance
- Collect and prepare data, perform EDA and feature engineering
- Develop new ML models (regression, classification, time series, clustering)
- Optimize data/model/inference pipeline scripts
- Prepare project code for production
- Support current analytics: model bug fixes and ad-hoc request fulfillment
Requirements:
- Higher education or final years of university in a technical field
- Solid mathematical foundation (understanding of gradient descent, distribution characteristics, PCA, and OLS)
- Ability to write Python code, optimize it, understand others' code, and knowledge of SQL
- Proficiency in core data analysis libraries (pandas, numpy, sklearn)
- Deep understanding of core classical ML algorithms (linear and tree-based models)
Conditions:
- Comfortable modern office near Kutuzovskaya metro station
- Option to choose a convenient schedule – office/hybrid
- Fixed-term employment contract for 3 months
- Corporate gym and recreation areas
- Over 400 educational programs from SberUniversity
- Adaptation program and supervisor support at the start
- Extended Voluntary Medical Insurance (DMS), preferential family insurance, and corporate pension program
- Flexible mortgage discount, equal to 1/3 of the Central Bank's key rate
- Prime subscription with the ability to share with three close contacts
- Reward for referring friends to the Sber team
Skills:
- Python
- pandas
- polars
- Spark
- SQL
- numpy
- sklearn
- ML
- time series
- DL
