Reach out directly about this role
at Sber**
Sberseasons - a paid internship program also for students
As part of the internship, you will be able to:
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 impact 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 models)
• Build a platform for online monitoring and auto-validation of models.
• 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 tasks, so you will immediately start gaining real Data Science work experience • 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.
Have:
• internship from 3 to 6 months with a further possibility of being hired • cozy office in the center of Novosibirsk at Dimitrova, 2 • corporate training, access to educational resources, DS meetups and a large internal DS community.
Part-time
Employment
Onsite
Work Format
Intern
Grade
Data Science & ML
Specialization
FinTech
Industry
Corporation
Company Type
By company and country
FinTech
Industry
Corporation
Company Type