Data Scientist will be responsible to develop machine learning models that drive revenue growth, customer insights, and product optimization. This role focuses on business analytics, customer behavior modeling, product recommendation engines, pricing strategies and other retail banking related projects. The ideal candidate will use data science techniques to enhance sales, improve customer engagement, and optimize banking products.
Key Responsibilities:
- Develop predictive models to analyze customer behavior, product performance, and sales trends.
- Build recommendation models to personalize banking products for customers and increase cross-selling opportunities.
- Optimize pricing strategies for banking products (loans, deposits, credit cards) using machine learning.
- Perform customer segmentation and lifetime value (CLV) modeling to improve targeting and retention strategies.
- Analyze transactional and behavioral data to identify revenue opportunities and improve customer experience.
- Work with marketing and product teams to leverage data-driven insights for business growth.
- Develop sales forecasting models to support strategic planning.
- Automate reporting and analytics processes to improve decision-making efficiency.
- Use A/B testing and experimentation to evaluate new product features and marketing campaigns.
- Collaborate with IT, CRM, and data engineering teams to ensure data availability and model deployment.
Requirements:
- Proficiency in Python (Pandas, Scikit-Learn, XGBoost, TensorFlow) or R.
- Strong SQL skills for data extraction and processing.
- Experience with machine learning techniques, including regression, classification, clustering, and recommendation systems.
- Understanding of A/B testing and causal inference for marketing and product analytics.
- Strong problem-solving and analytical thinking.
- Communication and stakeholder management skills.
- Knowledge of MLflow, Databricks, or other MLOps frameworks is a plus.
- Experience in banking, finance, product analytics, or customer insights is a plus.
Education & Experience:
- Bachelor’s/master’s degree in data science, Business Analytics, Economics, Computer Science, or a related field.
- 2+ years of experience in data science, preferably in a banking or financial services environment.
What We Offer:
- Professional Development: Growth and career advancement opportunities
- Dynamic Work Environment: A challenging, innovative, and team-oriented work setting
- Employment in accordance with the legislation of the Republic of Uzbekistan
- Work Schedule: Standard office hours from 9:00 AM to 6:00 PM, Monday to Friday
