Position:
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Associate - Data Scientist
Company:
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United Airlines Business Services Pvt. Ltd (a wholly owned subsidiary of United Airlines Inc.)
Location:
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Gurugram, Haryana, India
Job type:
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Full-Time
Job mode:
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Hybrid
Job requisition id:
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GGN00001951
Years of experience:
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0 to 3 years
Company description:
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United Airlines is a global aviation leader driven by innovation and a commitment to redefine the travel experience.
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The company operates the largest route network in the world, connecting continents and people through reliable air travel.
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United’s philosophy centers around fostering a work environment where each employee thrives through continuous learning, global exposure, and purpose-driven work.
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The organization places a strong emphasis on employee well-being through comprehensive health, wellness, and career development programs.
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Innovation is at the heart of United’s operations, from aircraft design to AI-driven solutions, creating a dynamic atmosphere for professional growth.
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Its Digital Technology division is shaping the future of travel by combining scalable tech solutions with intelligent architecture and advanced analytics.
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A collaborative work culture empowers team members to work on transformative projects that drive measurable business outcomes.
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With a workforce of over 100,000 professionals globally, United stands as a symbol of unity, growth, and future-readiness in the aviation industry.
Profile overview:
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This role is part of the Analytics and Innovation (Ai) team, a strategic unit focused on solving enterprise-level challenges using data-driven methodologies.
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The Associate - Data Scientist will contribute to large-scale business transformation by integrating cutting-edge machine learning techniques into operational processes.
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As part of the Ai team, you’ll collaborate with multiple business domains like Airport Operations, Contact Centers, Revenue Management, and Human Resources.
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Your work will directly support strategic initiatives by translating business goals into automated, analytical models that optimize processes and improve outcomes.
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The team works cross-functionally, blending technical skills with business acumen to connect the dots between departments and generate enterprise-wide impact.
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You’ll be involved in model development, data analysis, business insight generation, and working alongside engineers and data architects.
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The position is ideal for individuals eager to make a visible contribution and work in a team where learning and collaboration are central values.
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The ultimate objective is to leverage AI/ML models to increase revenue, enhance customer satisfaction, and minimize manual work.
Qualifications:
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A bachelor’s degree in a technical field such as Engineering, Computer Science, Applied Math, Statistics, or Economics is required.
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Internship or full-time experience in data science or analytics projects will be considered an added advantage.
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Candidates should demonstrate proficiency in Python or R, along with a solid command of SQL and Excel.
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Understanding of statistical principles and the ability to apply them to solve real-world business problems is essential.
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Exposure to common machine learning models such as Random Forests, Gradient Boosting Machines, XGBoost, and Clustering methods like KMeans is preferred.
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A deep curiosity and comfort in working with large datasets are required for this role.
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Communication skills are critical, especially the ability to break down complex ML models into insights understandable by business stakeholders.
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A collaborative mindset and the ability to work within diverse teams is expected.
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Knowledge of cloud platforms such as AWS or Azure is a plus but not mandatory.
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A master’s degree in a related domain or exposure to NLP and deep learning will be considered beneficial.
Job responsibilities:
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Collaborate with fellow data scientists and cross-functional teams across business, engineering, and IT functions.
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Extract, clean, and prepare data from various operations across the organization for model building and business insights.
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Design, implement, and validate machine learning models to support a variety of business use cases.
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Automate business processes through predictive modeling, clustering, classification, and optimization.
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Ensure efficient data migration between platforms and maintain models in production environments.
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Regularly monitor deployed models for accuracy, performance, and scalability.
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Conduct research on the latest AI/ML methodologies and share relevant knowledge across the team to encourage innovation.
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Translate analytical results into clear business recommendations and present findings to stakeholders.
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Support ongoing projects by partnering with data engineers and business teams to ensure delivery timelines and business needs are met.
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Actively engage in improving the team’s workflow and building best practices for reproducible and scalable analytics.
Additional info:
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The position is strictly governed by local employment terms, and visa sponsorship is not available for this role.
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United Airlines promotes a people-first culture, and this role comes with access to top-tier wellness programs and career advancement pathways.
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The selected candidate will work in a fast-paced environment where data science is deeply integrated with strategic business functions.
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You’ll be part of an organization that values innovation, encourages experimentation, and rewards initiative.
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Opportunities for professional development include exposure to large-scale enterprise data, structured learning programs, and cross-domain collaborations.
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Candidates will benefit from mentorship and regular interaction with senior data scientists, business heads, and technical experts.
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Employee Resource Groups provide avenues for personal and professional growth while fostering inclusion.
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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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