Data Scientist/Analyst of scoring models in NLMS Consulting OU

Functional duties:
1. Development of scoring cards for assessing credit risks based on historical data.
2. Building models for marketing purposes (for example, scoring incoming application traffic).
3. Monitoring the effectiveness of scoring models:
-creating reports and visualizations in PowerBI.
-regular control of key metrics, analysis of deviations and adaptation of models.
4. Interaction with development teams and product department to integrate models through API.
5. Support and development of internal tools for working with data.

Technical skills and requirements:
- programming languages: Python (required), R (will be an advantage).
- databases and analytics: SQL at a high level.
- data visualization: PowerBI or other BI tools.
- working with APIs: experience in creation, configuration or integration.
- experience in building mathematical models (logistic regression, decision tree, clustering, etc.).
- knowledge of mathematical statistics and principles of machine learning.

We offer:
- the opportunity to work in a team of professionals in the field of credit risks and analytics .
- work on interesting projects using modern technologies.
- opportunity for professional growth and training.