Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.
Come join us to create what’s next. Let’s define tomorrow, together.
DescriptionUniteds Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions
Job overview and responsibilities
- Assist in ad-hoc decision support, analytics projects, and scenario analyses. We are seeking creative, driven and detail-oriented individuals who enjoy tackling tough problems with data and insights.
- As an Associate Analyst, you will complete work extensively with Python, PowerBI and SQL to design analytical solutions, automate workflows, and maintain data quality
- Collaborate with Product, Engineering, and Analytics teams to identify and prioritize high-impact descriptive and predictive use cases across digital journeys
- Collaborate with cloud data engineering teams (AWS Redshift, Databricks) to support model deployment and contribute to scalable data solutions.
This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded.
QualificationsWhat you’ll need to succeed (Minimum Qualifications)Bachelor’s degree in a quantitative field (Computer Science, Engineering, Statistics, Mathematics, Economics, etc.)
1–2 years of experience in Data Analytics, Data Science, or Machine Learning
Strong skills in SQL and Python/R (with libraries like scikit-learn, TensorFlow, PyTorch) and experience with Jupyter or similar tools
Solid understanding of data analysis, statistics, and machine learning techniques (regression, classification, clustering, model evaluation)
Experience with data processing, large datasets, and building automated dashboards/reports using tools like Power BI
Familiarity with AWS (S3, EC2) is a plus
Strong problem-solving, communication skills, and ability to work with technical and non-technical stakeholders
Fluent in English and legally authorized to work in India
What will help you propel from the pack (Preferred Qualifications):
- Master’s degree in a relevant field
- Hands-on experience through internships, academic projects, or personal projects in ML/AI
- Exposure to deep learning, NLP, or computer vision use cases
- Experience working with Generative AI tools or building simple LLM-based applications
- Familiarity with deploying basic models (e.g., APIs, notebooks, or batch pipelines)
- Exposure to AWS ML tools (e.g., SageMaker basics)
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