Paid internship for a Data Scientist in Sber's AI Transformation team. Participation in the full lifecycle of ML models for corporate client discount recommendations, from requirement gathering to production and A/B tests.
Tasks:
- Collect, clean, and analyze data
- Formulate and test hypotheses
- Select model architectures
- Develop ML models and algorithms for financial tasks
- Deploy models to production and integrate results into business processes
- Support and maintain implemented solutions
- Conduct A/B tests to measure solution quality
- Interact with clients and present results to Bank management
Requirements:
- Knowledge in mathematics (calculus, linear algebra, probability theory, mathematical statistics)
- Good knowledge of Classic ML theory
- Proficient in Python
Conditions:
- Paid internship in one of the fastest-growing AI directions
- Work with real business tasks, not academic pet projects
- Access to internal stack and tools
- Opportunity to receive an offer for a Junior Data Scientist position upon completion of the internship
- Modern office with two gyms
Skills:
- Python
- pandas
- numpy
- sklearn
- catboost
- xgboost
- SQL
- Hadoop
- Spark
- SparkML
- git
- Jira
- Confluence
