United Airlines is hiring for a fresher entry level Associate level Data Scientist role in India

Position:

• Associate – Data Scientist

Company:

• United Airlines Business Services Pvt. Ltd. (a wholly owned subsidiary of United Airlines Inc.)

Location:

• Gurugram, Haryana, India

Job type:

• Full-time

Job mode:

• Hybrid

Job requisition id:

• GGN00001898

Years of experience:

• 0 to 2/3 years

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Company Description

• United Airlines is one of the most recognized and reputable airlines globally, known for innovation, customer service, and operational excellence.

• Headquartered in the United States, United serves hundreds of destinations worldwide and operates one of the largest and most comprehensive route networks in the aviation industry.

• United Airlines Business Services Pvt. Ltd., located in Gurugram, India, is a strategic extension of the parent organization. This subsidiary plays a critical role in managing digital transformation, advanced analytics, and technological innovation to streamline United’s global operations.

• The company provides employees with access to extensive resources, including professional development programs, top-tier wellness benefits, and opportunities to grow both personally and professionally.

• United is committed to fostering a culture of inclusion, continuous learning, and career progression. The organization encourages cross-functional collaboration, ensuring a cohesive and integrated work environment that nurtures talent.

• With a global team of more than 100,000 individuals, United Airlines stands united by a shared vision to shape the future of air travel through cutting-edge digital technologies and analytics.

• Employees are encouraged to be bold, challenge the status quo, and contribute toward shaping the next chapter of the airline industry.

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Profile Overview

• The Associate Data Scientist role falls under the Analytics and Innovation (Ai) team at United Airlines. This team is responsible for solving complex organizational challenges by applying analytical rigor, cutting-edge technology, and strategic insight.

• This position focuses on using Operations Research (OR) techniques to design and implement data-driven solutions that enhance efficiency, optimize decision-making, and deliver measurable business outcomes.

• The Data Scientist will work closely with a cross-functional team that includes business stakeholders, digital technology experts, and operational leaders from departments such as Network Planning, Airport Operations, Human Resources, Revenue Management, and Digital Products.

• The core objective of this role is to transform complex datasets into actionable intelligence and intelligent automation tools that drive value for the organization.

• Projects are highly strategic in nature and are aligned to enterprise-level goals such as increasing profitability, improving customer engagement, and reducing operational costs.

• The individual in this position will be deeply involved in not only technical implementation but also in stakeholder engagement, change management, and business impact analysis.

• The environment encourages innovation, and individuals are given autonomy and accountability to lead initiatives and see the tangible results of their work.

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Qualifications

• A Bachelor's degree is mandatory and must be from a recognized institution. Preferred disciplines include:

  • Engineering

  • Computer Science

  • Technology

  • Applied Mathematics

  • Operations Research

  • Industrial Engineering

  • Economics

  • Statistics

• Candidates should demonstrate:

  • Strong foundational knowledge in Operations Research, particularly in areas such as Linear Programming (LP), Mixed Integer Linear Programming (MILP), Markov Decision Processes (MDP), and metaheuristics like Genetic Algorithms (GA) and Ant Colony Optimization (ACO).

  • Ability to structure and design optimization models for real-world business use cases.

  • Familiarity with solvers such as Gurobi or CPLEX is highly desirable.

  • Programming proficiency in languages such as Python, Java, R, C, or C++ is a plus.

  • Understanding of algorithm development and the ability to optimize code performance for large-scale problems.

  • A keen interest or exposure to Artificial Intelligence and Machine Learning is considered advantageous.

  • Strong communication and presentation skills with the ability to explain complex concepts to a non-technical audience.

  • The role requires fluency in both written and spoken English.

• Additional criteria:

  • Must be legally authorized to work in India without the need for visa sponsorship.

  • Reliable and punctual attendance is essential for success in this position.

  • All candidates must successfully clear interviews and assessments designed to evaluate technical, analytical, and soft skills relevant to the role.

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Additional Info

• This is a full-time, permanent role based in the Gurugram office, operating under Indian labor laws and local employment terms.

• The role does not offer expatriate assignment benefits or visa sponsorship, including for short-term contracts.

• Collaboration is a core part of this role, and frequent interaction with cross-functional teams across various departments is expected.

• The working environment promotes knowledge sharing and continuous improvement.

• Employees are encouraged to take ownership of their projects and drive initiatives that align with strategic objectives.

• The role includes structured mentorship and regular feedback cycles to support personal and professional development.

• In addition to technical execution, emphasis is placed on maintaining quality documentation, code modularity, and reusability principles.

• Candidates should be comfortable participating in regular project reviews, stakeholder meetings, and providing timely updates on progress, challenges, and deliverables.

• The position offers significant learning opportunities in enterprise-scale problem-solving, making it ideal for early-career professionals seeking a launchpad in analytics and optimization.

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Key Responsibilities

• Collaborate with business teams to identify problem statements that can be addressed using optimization and advanced analytics.

• Collect, clean, and preprocess large-scale structured and unstructured data from various sources to prepare it for modeling.

• Develop Operations Research–based models to simulate and optimize business processes.

• Evaluate and validate models using real-world data and assess performance against key metrics.

• Interpret and communicate model results through well-structured reports, dashboards, and presentations.

• Work closely with engineering teams to ensure smooth integration of models into production systems.

• Follow best practices in software engineering including modular code development, version control, and documentation.

• Monitor the ongoing performance of deployed models and make iterative improvements based on business feedback.

• Participate in internal knowledge-sharing sessions and contribute to the development of reusable libraries and assets.

• Ensure alignment of analytical projects with broader organizational goals and compliance with ethical standards in data handling.

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