Collect, clean, and preprocess structured and unstructured data
Analyze data to identify trends, patterns, and business insights
Build, train, and deploy machine learning models
Perform statistical analysis and hypothesis testing
Develop predictive and prescriptive analytics solutions
Create dashboards, reports, and data visualizations
Collaborate with product, engineering, and business teams
Communicate findings to non-technical stakeholders
Monitor and improve model performance over time
Ensure data quality, security, and compliance
High-paying role with strong market demand
Performance-based bonuses
Annual salary increments
Stock options / ESOPs (in startups & MNCs)
Health insurance (self & family)
Life & accidental insurance
Provident Fund (PF) / retirement benefits
Paid sick leave
Flexible working hours
Remote / hybrid work options
Paid leaves & holidays
Good work-life balance compared to many tech roles
Continuous learning of cutting-edge technologies (AI, ML)
Company-sponsored certifications & training
Exposure to real-world business problems
Opportunity to work with large datasets & advanced tools
Sales & Marketing Roles Promote Airtel’s products and services (mobile, broadband, DTH, business solutions). Meet and exceed sales targets in assigned territories. Build strong customer relationships and ensure satisfaction.... Read More