Sberseasons — a paid internship program for students as well.
As part of the internship, you will be able to:
- work on interesting tasks that affect the lives of millions of Sber users
- choose a convenient schedule for you and work from 20 hours a week
- immerse yourself in a community of professionals and gain experience from a Mentor
Our team is engaged in the assessment and management of model risk. Our employees participate in projects to improve machine learning models and optimize their application in Sber's business processes. We create tools for monitoring, managing, and assessing model risk across all business areas.
We:
- IT-validate absolutely all Sber models that can significantly affect financial results. IT validation is a check that the model has been implemented correctly, as well as a check of data quality. Models flow to us from all corners of the vast Sber (retail and corporate business, finance, ecosystem)
- Develop and automate methods for validating various classes of models (especially relevant in light of the increasing complexity of Sber's models)
- Build a platform for online monitoring and auto-validation of models.
Responsibilities
- analyze code and identify the IT component of model risk
- perform data quality checks
- automate IT validation processes (create IT validation tests in Python).
Why it's interesting:
- interns solve real-world problems, so you'll immediately start gaining real work experience in Data Science
- you will get acquainted with the entire variety of models in the Sber ecosystem
- you will join a strong team of students and graduates from NSU and NSTU.
Requirements
- have a good knowledge of mathematical statistics and probability theory
- understand Python/SAS/R and basic data analysis libraries
- know the basics of Data Science
- can write SQL/Oracle PL queries
You have:
- interest in working with AI and basic skills in interacting with neural networks
- experience using Gigachat and other AI tools in studies or projects
- a desire to learn how to work with AI (we will teach you).
Conditions
- internship from 3 to 6 months with further possibility of employment
- cozy office in the center of Novosibirsk at Dimitrova 2
- corporate training, access to learning resources, DS meetups, and a large internal DS community.
