Description
Corporate Loans Pricing Team.
Projects:
- Individual models for customer sensitivity to deposit rates (uplift)
- Models for retail loan prepayment (time series, tabular ml)
Responsibilities
- Data collection and preparation (Hadoop, pyspark, sql)
- Testing various hypotheses
- Aligning metrics and results with stakeholders
- Full model development pipeline
- Support of developed solutions.
Requirements
- Data Scientist work experience of 2+ years
- Technical degree (preference for graduates of Lomonosov Moscow State University, Moscow Institute of Physics and Technology, Higher School of Economics, and other leading national universities)
- Understanding of probability theory and statistics.
- Experience building various ML model algorithms (regression, classification, etc.)
- Proficiency in Python and ML libraries (numpy, sklearn, pandas, matplotlib/seaborn/plotly, catboost/lightgbm/xgboost, etc.)
- Experience with torch, pyspark is a plus
- Experience using GigaChat, Kandinsky, and similar tools in products, skills in creating and using AI agents
- Instrumental proficiency in AI for analysis, generation, and automation.
Conditions
- Comfortable modern office near Kutuzovskaya metro station
- Hybrid work format
- Annual salary review. Annual bonus
- Corporate gym and recreation areas
- Over 400 educational programs from SberUniversity for professional and career development
- Adaptation program and manager support at the start
- Extended voluntary health insurance (VHI), preferential insurance for family, and corporate pension program
- Flexible mortgage discount equal to 1/3 of the Central Bank's key rate
- Free SberPrime+ subscription, discounts on products from partner companies
- Referral bonus for recommending friends to the Sber team.
