We are a team at the intersection of underwriting and risk modeling, creating breakthrough solutions for acquiring new clients and unlocking business insurance potential using data and AI technologies. We collect all necessary data, build advanced models, create tools to measure model impact, and transform them into commercial tariffs for consumers. Our goal is to fundamentally change the client's perception of insurance by breaking the opinions that insurance is expensive, complex, and inconvenient.
Responsibilities
- Participate in Exploratory Data Analysis (EDA) to identify key metrics and patterns
- Participate in the development of scoring, risk, and conversion models (ML/GBDT/GLM: CatBoost/LightGBM/XGBoost/GLM)
- Configure quality assessment: metrics, cross-validation, stability
- Participate in implementing best practices in modeling to improve prediction accuracy and reliability
Requirements
- Higher education in mathematics, economics, or natural sciences (senior year students are also eligible)
- 6+ months of experience in building ML/GLM models
- Desire and ability to work effectively in a team
- System thinking, flexibility, and accountability for results
- Good understanding of applied mathematics/statistics
- Experience with Python and specialized libraries
Conditions
- Hybrid work format (modern office on Olimpiyskiy Prospect in Moscow)
- Preferential mortgage lending terms
- Free SberPrime+ subscription
- Discounts on products from partner companies: Okko, Sber Market, Mega Market, Samokat, Eapteka, and others
- Voluntary medical insurance from day one and discounts on insurance for loved ones
- Corporate pension program
- Children's recreation and gifts at the Company's expense
- Company-sponsored training, online courses, unlimited library access, and training at the Corporate University, training sessions, meetups, and the opportunity to obtain new qualifications
