Data Scientist  

Responsibilities:

• Develop and implement predictive models and machine learning solutions
• Analyze large datasets to generate business insights and recommendations
• Perform customer behavior analysis using clustering techniques
• Build forecasting models for market and business trend analysis
• Collaborate with business and technical teams to identify data-driven opportunities
• Maintain and improve existing analytical models and pipelines
  
  Potential Project Scope:
• Credit Scoring Modeling
• Fraud Detection & Risk Analysis
• Customer Churn Prediction
• Product & Customer Personalization
• Customer Segmentation & Behavioral Analysis

Market Trend Analysis & Time Series Forecasting

Preferred Qualifications:

• Experience in banking or financial services industry is a plus
• Familiarity with fraud detection, risk analysis, or credit scoring projects
• Experience using data visualization tools is an advantage
• Fresh graduates with strong portfolio/projects are welcome to apply

• Bachelor’s degree in Computer Science, Information Technology, Statistics, Mathematics, Data Science, Engineering, or related quantitative fields from a reputable university
• Experience in Machine Learning and Predictive Modeling
• Proficient in Python and SQL
• Strong understanding of statistics, data analysis, and data preprocessing
• Familiar with clustering, classification, regression, and forecasting techniques
• Experience handling large datasets and building analytical solutions
• Strong analytical thinking and problem-solving skills
• Ability to communicate technical findings to business stakeholders