Sberbank grows Data Science, Machine Learning and AI expertise across all blocks and departments. Internal Sberbank Data Science Community hosts more than 150 professionals and we are always looking for new colleagues!
Position of Chief Data-scientist is open for a person with extensive experience in model development and delivery, data processing and knowledge of best practices, as well as leadership skills and the ability to manage and build a team. CDS will lead the process of identification, prototyping and delivery of Data Science projects.
Head of DS department with applications in financial management: ALM risk management, business planning, cost management, bank product pricing, etc. Managing the implementation of Data Science projects, as well as participation in the competence center organization and a unified information field for Data Science in the "Finance".
Leading AI chat-bots development based on deep learning, generative models for NLP, as well as keeping an eye on other approaches and recent developments. Carrying out NLP and DL research. Development of Proof-of-concept prototypes based on DL methods.
Project management and analytical support for DS projects within the department, including modeling, predictive analytics and working with large data: methodological and practical tasks, modeling of relationships for KPI and factors affecting the Bank's performance, efficiency of managers and employees, as well as visualization and results presentation.
R&D project participation in applied mathematical algorithms and methods of Data Science, Machine Learning and Optimization, participation in documenting and presenting successfully implemented projects with their results.
A wide range of vacancies within the model validation department. Future colleagues will be engaged in development of different analytical tools for statistical and ML models analysis and validation, testing their tools in the banks framework of working processes (risk analysis, marketing strategies, automation and monitoring), and create approaches and methodologies of black box models validation.
Solving and participating in R&D tasks, operational support of implemented models: cross-sell (forecast of the response), collection of ATMs (cash-machines) and VSP, efficiency forecast, reliability, dismissal, employee promotion, etc.
Participate in the development of the largest text and voice assistant in Russia.
Wanted: a Data Science specialist with a strong data expertise (Oracle, Hadoop) that is able to support and assist the team in the projects infrastructure development of the subdivision, as well as the creation and development of data analysis and quality control.
Preparation, clearing and preprocessing of data, working with external data sources. Ensuring reliability of data storage and infrastructure. Organization and support of data delivery to analytical systems.
Participation in ETL processes. Internal service development and optimization for processing large amounts of data.
Verification and understanding of the economic value of research on different amounts of huge and diverse data owned by Sberbank.