Description
We are looking for a goal-oriented and responsible Data Scientist who is ready to develop in the fields of AI, ML, and Finance.
We are responsible for AI transformation tasks related to the Finance Block; our main client is Sber Treasury. Our task is to implement AI and ML in processes such as pricing for credit banking products across various customer segments. Our work includes data collection and analysis, model building, implementation into the process, communication with clients, and presenting results to the Bank's management. We predominantly use standard models and algorithms, but also occasionally test more advanced methods where the business process allows.
Responsibilities
- Data collection and analytics
- Interaction with business clients during model development
- Development of ML models and algorithms
- Deployment of ML models and calculation modules to production
- Support of implemented solutions
Requirements
- Basic knowledge in mathematics (calculus, linear algebra, probability theory, mathematical statistics)
- Python: data types, structures, OOP
- Classical ML: tasks (regression, classification), metrics, basic ML stack (pandas, numpy, sklearn, catboost, xgboost), SQL
Will be a plus:
- Knowledge in finance
- BigData stack (Hadoop, Spark, SparkML)
- Ability to work with git, Jira, Confluence
- Experience in end-to-end development of ML models (EDA-MVP-Solution-Validation-Production)
Conditions
- Comfortable modern office near Kutuzovskaya metro station
- Hybrid work format
- Annual salary review. Annual bonus
- Corporate gym and relaxation areas
- More than 400 educational programs from SberUniversity for professional and career development
- Onboarding program and manager assistance at the start
- Extended VHI, preferential insurance for family, and corporate pension program
- Flexible mortgage discount, equal to 1/3 of the Central Bank key rate
- Free SberPrime+ subscription, discounts on products from partner companies
- Reward for recommending friends to the Sber team.
