Junior DS in Sber Audit: development of digital solutions for bank process automation, data analysis, computer vision, machine learning, and LLM application.
Tasks:
- Develop and implement digital solutions for bank process automation
- Collect, process, analyze, and visualize data from information systems
- Write and optimize SQL queries
- Develop solutions with computer vision and machine learning
- Apply LLM for document analysis, material preparation, and task automation
Requirements:
- Higher education in information technology, applied mathematics, or data analysis
- Proficient in SQL, including complex queries and data transformation
- Proficient in Python and libraries for data processing and analysis
- Experience with computer vision, machine learning, and LLM integration
- Ability to work with large volumes of structured and unstructured data
Conditions:
- Flexible schedule, 20 working hours per week
- Office: Moscow, Oruzheynyy Pereulok, 41
- Comfortable office and corporate gym
- Unique Sber training system, SberUniversity
- Extended voluntary medical insurance and preferential family insurance
- Prime subscription with the possibility of shared use by three close individuals
- Flexible discount on mortgage loans, equal to 1/3 of the Central Bank's key rate
- Reward for recommending friends to the Sber team
- Corporate pension program
Skills:
- SQL
- Python
- computer vision
- machine learning
- LLM
