United Airlines is hiring for a fresher entry level Associate 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:

• GGN00001951

Years of experience:

• 0 to 3 years

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Company description:

• United Airlines is a global aviation leader driven by innovation and a commitment to redefine the travel experience.

• The company operates the largest route network in the world, connecting continents and people through reliable air travel.

• United’s philosophy centers around fostering a work environment where each employee thrives through continuous learning, global exposure, and purpose-driven work.

• The organization places a strong emphasis on employee well-being through comprehensive health, wellness, and career development programs.

• Innovation is at the heart of United’s operations, from aircraft design to AI-driven solutions, creating a dynamic atmosphere for professional growth.

• Its Digital Technology division is shaping the future of travel by combining scalable tech solutions with intelligent architecture and advanced analytics.

• A collaborative work culture empowers team members to work on transformative projects that drive measurable business outcomes.

• With a workforce of over 100,000 professionals globally, United stands as a symbol of unity, growth, and future-readiness in the aviation industry.

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Profile overview:

• This role is part of the Analytics and Innovation (Ai) team, a strategic unit focused on solving enterprise-level challenges using data-driven methodologies.

• The Associate - Data Scientist will contribute to large-scale business transformation by integrating cutting-edge machine learning techniques into operational processes.

• As part of the Ai team, you’ll collaborate with multiple business domains like Airport Operations, Contact Centers, Revenue Management, and Human Resources.

• Your work will directly support strategic initiatives by translating business goals into automated, analytical models that optimize processes and improve outcomes.

• The team works cross-functionally, blending technical skills with business acumen to connect the dots between departments and generate enterprise-wide impact.

• You’ll be involved in model development, data analysis, business insight generation, and working alongside engineers and data architects.

• The position is ideal for individuals eager to make a visible contribution and work in a team where learning and collaboration are central values.

• The ultimate objective is to leverage AI/ML models to increase revenue, enhance customer satisfaction, and minimize manual work.

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Qualifications:

• A bachelor’s degree in a technical field such as Engineering, Computer Science, Applied Math, Statistics, or Economics is required.

• Internship or full-time experience in data science or analytics projects will be considered an added advantage.

• Candidates should demonstrate proficiency in Python or R, along with a solid command of SQL and Excel.

• Understanding of statistical principles and the ability to apply them to solve real-world business problems is essential.

• Exposure to common machine learning models such as Random Forests, Gradient Boosting Machines, XGBoost, and Clustering methods like KMeans is preferred.

• A deep curiosity and comfort in working with large datasets are required for this role.

• Communication skills are critical, especially the ability to break down complex ML models into insights understandable by business stakeholders.

• A collaborative mindset and the ability to work within diverse teams is expected.

• Knowledge of cloud platforms such as AWS or Azure is a plus but not mandatory.

• A master’s degree in a related domain or exposure to NLP and deep learning will be considered beneficial.

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Job responsibilities:

• Collaborate with fellow data scientists and cross-functional teams across business, engineering, and IT functions.

• Extract, clean, and prepare data from various operations across the organization for model building and business insights.

• Design, implement, and validate machine learning models to support a variety of business use cases.

• Automate business processes through predictive modeling, clustering, classification, and optimization.

• Ensure efficient data migration between platforms and maintain models in production environments.

• Regularly monitor deployed models for accuracy, performance, and scalability.

• Conduct research on the latest AI/ML methodologies and share relevant knowledge across the team to encourage innovation.

• Translate analytical results into clear business recommendations and present findings to stakeholders.

• Support ongoing projects by partnering with data engineers and business teams to ensure delivery timelines and business needs are met.

• Actively engage in improving the team’s workflow and building best practices for reproducible and scalable analytics.

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Additional info:

• The position is strictly governed by local employment terms, and visa sponsorship is not available for this role.

• United Airlines promotes a people-first culture, and this role comes with access to top-tier wellness programs and career advancement pathways.

• The selected candidate will work in a fast-paced environment where data science is deeply integrated with strategic business functions.

• You’ll be part of an organization that values innovation, encourages experimentation, and rewards initiative.

• Opportunities for professional development include exposure to large-scale enterprise data, structured learning programs, and cross-domain collaborations.

• Candidates will benefit from mentorship and regular interaction with senior data scientists, business heads, and technical experts.

• Employee Resource Groups provide avenues for personal and professional growth while fostering inclusion.

• The job offers an immersive learning experience for those looking to start their data science journey in a dynamic business context.

Please click here to apply.

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