to implement ML and AI solutions into Sberbank Insurance business processes.
Tasks:
- Exploratory Data Analysis (EDA): distribution visualization, anomaly detection, statistical hypothesis testing
- Development and training of models on labeled data
- Writing clean Python code
- Participation in building data preprocessing pipelines
- Presentation of work results in the form of dashboards or presentations for business
- Documentation of code and experiments (MLflow / comments)
Requirements:
- 3rd-4th year undergraduate or Master's student in a technical specialty (Mathematics, Computer Science, Physics and Technology, IT or related fields)
- Proficient in Python (typing, OOP - basic) and SQL (JOIN, window functions)
- Experience with Pandas, NumPy, Matplotlib/Seaborn; familiarity with Sklearn
- Understanding of linear algebra, mathematical statistics, and probability theory basics
Conditions:
- Hybrid work format
- Modern office in Moscow on Prospekt Mira (Olimpiyskiy 14, Diamond Hall Business Center)
Skills:
- Python
- SQL
- Pandas
- NumPy
- Matplotlib
- Seaborn
- Sklearn
- MLflow
