Position: Senior Data Scientist
Category: Data Science
English level: upper
Years of experience: 5


Experienced Data Scientist with a demonstrated history of working in the banking industry.
• Led a team of 4-6 data scientists, guiding them in the creation and implementation of innovative analytical 
solutions to address complex business challenges
• Utilize SQL to collect and interpret data from the bank's Data Warehouse (DWH) for further analysis
• Analyze Credit Bureau data and prepare relevant features for machine learning models
• Perform exploratory data analysis and conduct feature engineering to enhance machine learning model 
performance
• Develop income estimation and propensity models for non-salary customers using VAT data
• Build models to identify churned and loyal customers on web and mobile platforms
• Design and develop Probability of Default (PD) models for salary, non-salary, and pensioner customers 
separately
• Develop Pricing models for online loan applicants and design an automated simulation tool for pricing strategy
• Create a Self-Activation model and automated pipeline for new customers across various product types
• Develop Uplift models and automated pipelines for existing customers for each product type
• Devise and implement strategies for campaign management, ensuring effective customer engagement
• Develop a Benefit calculation tool to measure campaign results and optimize outcomes
• Set up an automated risk limit simulation environment using Python
• Develop and deploy feature enrichment micro services, integrating them into lending systems
• Build end-to-end analytical and monitoring dashboards using Flask, Qlik Sense, and Power BI
• Parse and construct data pipelines for VAT data using Python and Spark, facilitating efficient data processing
• Designed and executed A/B tests to evaluate the impact of various banking products
• Identify, measure and recommend advanced analytics strategies across all business areas