United Airlines is hiring for an FRESHER entry level Associate Data Scientist role in India

Position:

• Associate Data Scientist

• Entry level role focused on applying data science methods within business functions

• Supports analytical projects across different units

• Works as part of a growing analytics team

• Engages with cross functional partners for solution delivery

• Contributes to projects that improve decision making through data

• Supports model development, testing, and updates

• Assists senior team members on research and implementation activities

Company:

• United Airlines Business Services Pvt. Ltd

• Wholly owned subsidiary of United Airlines Inc

• Functions as an extended technology and analytics arm in India

• Focuses on digital, analytics, and innovation projects supporting core business

• Plays an important role in supporting operations, customer experience, and revenue teams

• Enables collaboration among technology, analytics, and business units

• Provides a platform for learning in aviation and travel

• Known for global operations and a large customer base

Location:

• Gurugram, Haryana, India

• Corporate office environment

• Work exposure with global teams based in different countries

• Access to major business districts of the National Capital Region

• Located near technology companies and corporate offices

• Offers access to modern facilities and infrastructure

• Suitable for candidates residing in or willing to move to the NCR area

• Well connected through airport and public transport

Job type:

• Full time position

• Requires regular engagement with internal teams

• Structured responsibilities with ongoing deliverables

• Provides long term role growth

• Fixed working hours with project based flexibility

• Permanent employment subject to company policy

• Performance driven environment

• Includes participation in meetings, discussions, and reviews

Job mode:

• Onsite work arrangement

• Collaboration with team members in office

• Regular interaction with managers and project teams

• Participation in in person discussions and workshops

• Access to company infrastructure from office premises

• Enables knowledge sharing with colleagues in person

• Encourages teamwork and coordination

• Best suited for candidates available to work from Gurugram office

Job requisition id:

• GGN00002377

• Unique identifier for this posting

• Used internally for tracking and hiring

• Relevant for referencing this role in communication

• Helps in identifying job posting among other openings

• Useful for application follow ups

• Connects candidate profile with job listing

• Mention in application documents when required

Years of experience:

• 0 to 3 years of relevant work experience

• Suitable for fresh graduates as well as early career professionals

• Welcomes candidates beginning their journey in analytics

• Also open to those with initial exposure in industry projects

• Encourages applicants with internships or academic projects

• Early professionals seeking transition to data science may also apply

• Recent graduates in technical fields encouraged to apply

• Focus on attitude, ability to learn, and foundational knowledge

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Company description

• United Airlines Business Services Pvt. Ltd supports one of the largest global airlines in technology, analytics, and digital development initiatives

• The organization contributes to the improvement of customer service, network planning, operations, and digital products using modern data tools

• The company creates solutions that help travelers enjoy smoother journeys, better connections, and improved interaction through digital channels

• Teams work closely with global corporate offices and participate in projects that influence multiple business areas such as airport operations, loyalty programs, service centers, and human resources

• The company promotes learning, collaboration, and curiosity among employees and encourages innovation in daily work activities

• Employees work with real business challenges that affect millions of travelers, giving them exposure to practical problem solving

• Focus is placed on building data driven decision making culture while maintaining strong commitment to safety, service, and reliability

• The company offers exposure to aviation, travel technology, analytics, and digital transformation, creating an environment where individuals can contribute ideas that shape future business activities

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Profile overview

• The Associate Data Scientist works within the Analytics and Innovation team, supporting the creation of models, tools, and insights for various departments of the airline

• The role involves collaboration with business stakeholders, technology teams, and data engineers to analyze data and build solutions that improve processes or customer engagement

• Responsibilities include understanding business questions, preparing data, creating analytical approaches, developing models, and interpreting outcomes in a way that supports decision making

• The role contributes to automation of manual activities and enhancement of revenue through analytical solutions that provide better forecasts and recommendations

• The professional in this role gathers and evaluates data from different operational areas such as flights, customers, service centers, digital platforms, and staffing

• The role requires regular interaction with team members across departments to share progress updates, insights, and outcomes

• Communication of results in a clear and simple manner is an important part of the role because findings often guide leadership decisions

• The position is an excellent starting point for a career in data science within aviation and travel technology, giving wide exposure to real world data problems and applied machine learning

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Qualifications

• Bachelor’s degree in Engineering, Technology, Computer Science, Statistics, Applied Mathematics, Economics, Operations Research, Industrial Engineering or similar analytical fields

• Strong interest in solving business problems through data and analytics

• Good command of Python or R along with knowledge of SQL and Excel

• Familiarity with standard Microsoft Office tools used for presentations and reporting

• Basic to intermediate knowledge of machine learning methods including tree based models, boosting techniques, and clustering approaches using tools such as Random Forest, Gradient boosting methods, XGBoost and K Means

• Understanding of probability and statistics concepts that support model design and evaluation

• Curiosity and comfort in working with large datasets drawn from varied sources across the airline business

• Strong written and verbal communication skills that help in explaining technical topics to business stakeholders without heavy mathematical terminology

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Additional info

• The role functions under local employment terms within India and is not linked with expatriate arrangements or international visa sponsorship

• Employment is with United Airlines Business Services Pvt. Ltd which operates as a complete subsidiary of United Airlines Inc

• The role involves close coordination with digital technology teams, data engineers, analysts, and business departments to ensure successful delivery of analytics projects

• Employees in this position are expected to keep themselves updated with modern machine learning and analytics research and share useful knowledge within the team

• The individual will participate in preparing presentations and reports for leaders and project sponsors, summarizing insights gained from models and data analysis

• Assigned projects may influence pricing, route planning, customer services, operations efficiency, and staff allocation among various departments

• Exposure will also include performance monitoring of deployed models and assisting in moving solutions from prototype to production at large scale

• The role provides career growth opportunities in aviation analytics, intelligent automation, digital transformation, and artificial intelligence applications within a global organization

Please click here to apply.