Key Responsibilities

• Develop and maintain machine learning models and forecasting solutions.
  
• Perform data cleaning, preprocessing, and feature engineering.
  
• Build and optimize data pipelines using Python and SQL.
  
• Analyze large datasets to identify trends and business insights.
  
• Support model deployment, testing, and performance monitoring.
  
• Create dashboards, reports, and data visualizations.
  
• Assist in developing automated prediction and retraining workflows.
  
• Collaborate with cross-functional teams on analytics projects.
  
• Document model development activities and technical processes.
  
• Stay updated with emerging trends in Data Science and AI.
  

Benefits & Perks

Financial Benefits

• Provident Fund (PF)
  
• Competitive Salary Package
  
• Annual Performance Reviews
  
• Leave Encashment Benefits
  

Health & Insurance

• Medical Insurance Coverage
  
• Insurance for Employee & Family Dependents
  

Work-Life Balance

• 5-Days Working Week
  
• Hybrid Working Model
  
• Paid Annual Leave
  
• Sick Leave & Casual Leave
  
• Company Holidays
  

Family Benefits

• Maternity Leave
  
• Paternity Leave
  

Learning & Career Growth

• Mentorship from Senior Data Scientists
  
• Exposure to Global Projects
  
• Continuous Learning Opportunities
  
• Career Growth Path in Data & AI
  

Culture & Engagement

• Friendly & Inclusive Work Environment
  
• Collaborative Team Culture
  
• Employee Engagement Programs
  
• Team Outings & Celebrations
  
• Recognition & Rewards