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✈️ United Airlines Hiring Associate Data Scientist in Gurugram 2026 | 0-3 Years | B.Tech/Bachelor’s | Placement Officer
📌 Quick Summary
United Airlines is hiring an Associate
Data Scientist in Gurugram, Haryana for its Analytics and
Innovation (Ai) team, working through United Airlines Business Services
Pvt. Ltd., its wholly owned subsidiary in India. You’ll build AI and ML
solutions for departments such as Airport Operations, Contact Centers,
Network Planning, Revenue Management, Digital Products and Human Resources,
with a growing share of the work in Generative AI, LLM-powered assistants
and multi-modal AI (voice and image). The role needs 0-3 years of
experience, including an internship or full-time stint in analytics or
data science.
|
Detail |
Info |
|
🏢 Company |
United
Airlines Business Services Pvt. Ltd. |
|
💼 Role |
Associate,
Data Scientist (Job ID GGN00002194) |
|
📍 Location |
Gurugram,
Haryana, India |
|
🕒 Type |
Full-time,
Information Technology |
|
📅 Posted |
1 October
2026 |
|
🎓 Batch
Eligible |
Graduates
with 0-3 years of experience (roughly 2023 to 2026 batches), who must have
internship or work experience in analytics or data science |
|
📚 Degree |
B.Tech or
Bachelor’s in Engineering, Technology, CS, Statistics, Operations Research,
Applied Mathematics or Economics |
|
💰 Expected
Salary |
About ₹8 LPA to ₹16 LPA (rough estimate; not
disclosed) |
|
🛠️ Key
Skills |
Python/R,
SQL, machine learning (tree models, XGBoost, clustering), statistics,
communication, GenAI exposure |
The posting doesn’t state a salary or
graduation years. The batch line is derived from the 0-3 years requirement, and
the salary line is an estimate.
🏢 About United Airlines and the Ai Team
United’s Analytics and
Innovation (Ai) team works to solve complex business problems with
measurable enterprise impact, using cross-functional business expertise and
advanced analytics. According to the posting:
·
🧩 The
team partners with Airport Operations, Contact Centers, Network Planning,
Revenue Management, Digital Products, Human Resources and more
·
📈 Key
goals are to drive incremental revenue, boost customer engagement and automate
manual processes with state-of-the-art ML
·
🤖 A
growing share of work involves Generative AI and agentic systems,
including LLM-powered assistants and multi-modal AI deployed into production
·
✈️ Employees
get access to health and wellness benefits and travel on United’s
route network
These points come from United’s own
job posting.
📝 Detailed Job Description
Role: Associate, Data Scientist
Team: Analytics and Innovation (Ai), Digital Technology
Job ID: GGN00002194
Entity: United Airlines Business Services Pvt. Ltd., a wholly owned
subsidiary of United Airlines Inc.
🔹 Key Responsibilities
·
✅ Work with
data scientists and stakeholders (IT, data engineering, business) to gather
and analyse operational data and deliver high-quality models and fact-based
recommendations
·
✅ Solve
business problems using data analysis, machine learning, optimisation tools
and GenAI/LLM techniques such as agentic approaches and prompt
engineering
·
✅ Use
AI-assisted tools (coding agents, AI design and prototyping tools, agentic
frameworks) to prototype, build and ship solutions faster
·
✅ Work with
multi-modal models across text, voice and vision, and build data
pipelines and model monitoring for scalable deployment
·
✅ Research
the latest ML, deep learning and GenAI approaches and share knowledge
across the team
·
✅ Communicate
insights clearly through professional presentations to team leaders and
managers
·
✅ Partner
with data engineering and operations teams to keep business stakeholders
updated on projects
⚠️ Important Terms
·
This position
is offered on local terms and conditions
·
Expatriate
assignments and visa sponsorship will not be awarded
🎓 Eligibility Criteria
✅ Required Qualifications
·
🎓 B.Tech
or Bachelor’s degree in Engineering, Technology, Computer Science,
Statistics, Operations Research, Applied Mathematics or Economics
·
💼 Full-time
or internship experience in analytics or data science
·
⏱️ 0-3
years of relevant work experience
·
🧠
Excellent analytical and problem-solving skills
·
💻
Proficiency in Python or R, SQL, Excel and other Microsoft Office tools
·
🌲 Intermediate
knowledge of ML algorithms: bagging (decision trees, random forest),
boosting (XGBoost, GBM) and clustering (K-Means)
·
📊
Comfort and curiosity with very large datasets
·
🎲
Understanding of probability and statistics
·
🗣️
Ability to explain mathematical and ML concepts to a business audience
·
🤝
Strong interpersonal and teamwork skills
⭐ Preferred Qualifications
·
🎓 MTech
or Master’s in Data Science, Business Analytics, Engineering, CS,
Statistics, OR, Applied Mathematics or Economics
·
🧬
Knowledge of deep learning and neural networks, with NLP or computer
vision experience
·
🤖
Exposure to LLMs and agentic application design (for example LangGraph
or LangChain)
·
🛠️ Hands-on
use of modern AI tools to prototype and build products
·
☁️ AWS or
Azure experience
Batch eligible: The posting
names no graduation years. Because it requires 0-3 years of experience and at
least an internship or job in analytics or data science, the 2023 to
2026 graduating batches are the natural fit. Pure freshers with no data
science internship or project experience may face difficulty, so highlight any
internship, research or substantial project work.
💰 Expected Salary
Official figure: United
doesn’t disclose the salary in this posting, and I couldn’t find a reliable
salary figure for this specific role.
✅ My estimate: roughly ₹8 LPA to ₹16
LPA, with low confidence. It’s a rough
guess for an early-career data scientist at a global company’s India capability
centre, not a figure from United or from verified salary data. Pay will depend
on your experience, degree level (Master’s is preferred), interview performance
and the offer structure. Ask the recruiter about the fixed pay, bonus and
benefits during the HR stage.
🛠️ Essential Skills Required
💪 Technical Skills
·
🔹 Python
(or R) for data analysis and modelling
·
🔹 SQL
and handling very large datasets
·
🔹 Machine
learning: Random Forest, decision trees, XGBoost/GBM, K-Means
clustering
·
🔹 Probability
and statistics
·
🔹 Excel
and Microsoft Office
·
🔹 Optimisation
tools (useful for operations research problems)
·
🔹 Deep
learning, NLP and computer vision (preferred)
·
🔹 LLMs,
prompt engineering and agentic frameworks such as LangGraph or LangChain
(preferred)
·
🔹 AWS
or Azure (preferred)
·
🔹 Model
deployment and monitoring basics
🧠 Soft Skills
·
🔸 Explaining
technical ideas to business audiences
·
🔸 Problem
solving and intellectual curiosity
·
🔸 Clear
presentations
·
🔸 Teamwork
across data, IT and business functions
·
🔸 Continuous
learning in a fast-moving AI field
💡 Pro Tips to Get Selected
1.
🧪 Build
an ML portfolio. Show projects using tree-based models, boosting and
clustering, with clear business framing and results.
2.
📈 Master
XGBoost and Random Forest. The posting names them explicitly, so know how
they work, how to tune them and when to use each.
3.
🗄️ Practise
SQL. Be ready for joins, window functions and aggregation on large tables.
4.
🎲 Revisit
probability and statistics. Hypothesis testing, distributions, bias and
variance, and evaluation metrics often come up in interviews.
5.
🤖 Try
a small GenAI project. Build a simple LLM assistant or a basic agent with
LangChain or LangGraph, since the team says its work is moving this way.
6.
✈️ Learn
the airline context. Think about use cases such as demand forecasting, crew
or flight scheduling, delay prediction and customer service automation.
7.
🗣️ Practise
explaining models to non-technical people. The posting stresses bridging
business context and technical detail, so rehearse a two-minute explanation of
a model you built.
8.
🛠️ Show
AI-assisted development skills. The role expects you to use coding agents
and AI tools well, so describe how you use them and how you check their output.
9.
☁️ Get
cloud exposure. Deploy a small model on AWS or Azure and mention it on your
resume.
10. 📄 Highlight internships
and results. The posting requires analytics or data science experience, so
quantify what your internship or project achieved.
❓ Frequently Asked Questions (FAQs)
Q1. Can freshers apply for this United Airlines role?
It asks for 0-3 years of experience, but also requires full-time or internship
experience in analytics or data science. A fresher with a relevant internship
can apply.
Q2. Where is the job located?
Gurugram, Haryana, India.
Q3. Which degree is required?
B.Tech or a Bachelor’s degree in Engineering, Technology, CS, Statistics,
Operations Research, Applied Mathematics or Economics. A Master’s degree is
preferred.
Q4. Which skills matter the most?
Python or R, SQL, ML algorithms (random forest, XGBoost, K-Means), statistics
and the ability to explain results to business teams.
Q5. Do I need to know Generative AI?
It’s listed as preferred, not required, but the team says GenAI and agentic
work is a growing share of its projects.
Q6. What is the salary?
It isn’t disclosed. A rough estimate is ₹8-16 LPA, but confirm with the
recruiter.
Q7. Is visa sponsorship available?
No. The position is on local terms and conditions and doesn’t offer expatriate
assignments or visa sponsorship.
Q8. Which batches can apply?
No years are listed. With 0-3 years of experience required, the 2023 to 2026
batches look like the natural fit.
🏁 Conclusion
The United Airlines Associate
Data Scientist role in Gurugram is a strong opportunity for early-career
data professionals who want to apply classical ML and Generative AI to real
airline problems in revenue, operations, customer service and planning.
Build a portfolio around tree-based models and boosting, sharpen your SQL and
statistics, add a small GenAI or agent project and be ready to explain your
work in plain business language. Apply through United’s official careers
portal. 🚀
📢 Want more data science jobs, fresher openings and hiring alerts? Visit www.placement-officer.com and join the Placement Officer Community today! 💼✨
🔗 Apply Link: Click Here To Apply for United Airlines
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Disclaimer
The recruitment details shared above are for informational purposes only and have
been obtained from the organization’s official website. We do not guarantee any
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