📍 Location: Gurugram, Haryana, India
💼 Role: Data Science Intern
⏰ Job Type: Full-Time | Duration: 6 Months
🎓 Education: Bachelor’s Degree (3rd/4th Year Students)

🌟 About United Airlines:

United Airlines is a global leader in the aviation industry, focused on designing and developing cutting-edge technology solutions. Their Digital Technology team drives innovation using data analytics, digital solutions, and scalable architectures to enhance customer experiences and operational efficiency.

✅ Core Values: Inclusion, Innovation, Diversity
✅ Mission: Connecting People. Uniting the World.
✅ Culture: Employee-focused with top-tier benefits like health insurance, parental leave, and space-available travel.

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🧑‍💻 Role Overview – Data Science Intern:

Join United Airlines’ Analytics and Innovation (Ai) team, a forward-thinking group transforming business processes and influencing strategic decisions across departments such as:

• Airport Operations
• Contact Centers
• Revenue Management
• Human Resources

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🎯 Key Responsibilities:

• 📊 Data Analysis & Statistical Modeling: Execute data-driven solutions to complex business problems.
• 📈 Report Generation & Dashboards: Develop Tableau, Power BI, and Spotfire dashboards for leadership and external stakeholders.
• 📑 Data Handling: Work with Teradata SQL and Microsoft TSQL to analyze and query large datasets.
• 💡 Insights & Recommendations: Translate data findings into business insights and actionable strategies.
• 📢 Presentation: Deliver clear, professional presentations for team and project managers.

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📌 Eligibility Criteria:

✅ Education: Bachelor’s Degree (3rd/4th Year Students)
✅ Internship Duration: 6 months
✅ Work Authorization: Must be legally authorized to work in India without sponsorship.

🛠️ Skills Required:

• Technical Skills:
  • Advanced Excel and PowerPoint
  • Database querying (Teradata SQL, Microsoft TSQL)
  • Data Visualization Tools: Power BI, Tableau, Spotfire
• Soft Skills:
  • Strong team collaboration and interpersonal skills
  • Fluent in English (spoken and written)

⭐ Preferred Qualifications:

• 🎓 Fields: Engineering, Technology, Computer Science, Statistics, Applied Mathematics, Economics
• 🐍 Programming Skills: Python, R, PySpark
• 📊 Data Science Tools: Machine Learning, Statistical Analysis