Intern (ML Model Validation)

Our team is engaged in creating innovative solutions in the field of machine learning and risk management. The professional growth of each employee is important to us, so we offer a unique opportunity to dive into the field of Data Science through practice, deepening knowledge in the field of Classic ML and artificial intelligence.

Responsibilities

The main task will be to participate in the IT validation of forecasting models and methods used in the bank. You will be able to apply your theoretical knowledge and develop practical skills in real projects related to risk management, algorithm efficiency assessment, and the quality of implemented models.

In addition, there is an opportunity to delve into specialized projects, such as agent development (LLM agent AIVA) and the study of the latest approaches in creating and testing intelligent analytical tools.

Requirements

• including a final year student of a technical university (bachelor's degree)
• confident command of Python
• basic understanding of classical mathematical statistics and Machine Learning
• full-time employment (at least 40 hours per week).

Conditions

• work in a comfortable and modern office near the Kutuzovskaya metro station
• corporate gym and recreation areas
• over 400 educational programs from SberUniversity for professional and career development
• Prime subscription with the possibility of sharing with three close people
• reward for recommending friends to the Sber team.