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🎯 Gametime United Data Science Intern 2026: Remote Internship Opportunity for Students & Fresh Graduates | Placement Officer
📌 Quick Summary
Looking for a high-impact Data
Science Internship in 2026? Gametime United, one of the leading live-event
ticketing technology companies, is hiring a Data Science Intern – Pricing
Analytics for its remote team in the United States. This internship
provides an excellent opportunity to work on real-world pricing models,
analytics, machine learning, experimentation, and business intelligence while collaborating
with experienced data scientists and engineers.
Whether you're passionate about
Python, SQL, Machine Learning, Data Analytics, or AI-driven decision-making,
this internship can provide valuable industry exposure and strengthen your
resume for future roles in Data Science and Analytics.
🏢 About Gametime United
Gametime is a technology-driven
platform that helps users discover and purchase tickets for live events,
including sports, concerts, theater performances, and entertainment
experiences. The company leverages advanced analytics, machine learning,
pricing algorithms, and AI-powered systems to create seamless customer
experiences. Gametime operates as a remote-first company and emphasizes
innovation, ownership, and data-driven decision-making.
💼 Internship Overview
|
Particulars |
Details |
|
Company |
Gametime
United |
|
Position |
Data Science
Intern – Pricing Analytics |
|
Job Type |
Internship |
|
Work Mode |
Remote |
|
Location |
United
States |
|
Department |
Data Science |
|
Experience |
Students
& Early Career Candidates |
|
Duration |
Internship
Program |
|
Salary |
Competitive
Stipend (Estimated) |
|
Application
Mode |
Online |
📋 Detailed Job Description
As a Data Science Intern, you will
work alongside experienced data scientists, analysts, and engineers to solve
business problems using data.
Key Responsibilities
📊 Data Analysis & Insights
·
Analyze large
datasets to identify trends and opportunities.
·
Generate
actionable insights from business and customer data.
·
Create
dashboards and reports for stakeholders.
🤖 Machine Learning Support
·
Assist in
developing predictive models.
·
Support
experimentation and model evaluation.
·
Work with
pricing optimization algorithms.
📈 Pricing Analytics
·
Analyze ticket
pricing trends.
·
Support
revenue optimization initiatives.
·
Evaluate
demand forecasting models.
🛠 Data Engineering Support
·
Clean and
prepare datasets.
·
Build data
pipelines and automation workflows.
·
Ensure data
quality and consistency.
📉 Statistical Analysis
·
Perform
hypothesis testing.
·
Conduct A/B
testing experiments.
·
Measure
performance metrics and business impact.
🎓 Educational Qualification
Candidates pursuing or recently
completing:
✅ B.E./B.Tech
✅ M.E./M.Tech
✅ B.Sc.
✅ M.Sc.
✅ Computer Science
✅ Information Technology
✅ Statistics
✅ Mathematics
✅ Data Science
✅ Artificial Intelligence
✅ Machine Learning
✅ Related Quantitative Fields
🎯 Eligible Batches
Based on internship hiring trends
and early-career programs, the following batches are likely eligible:
✅ 2026 Batch
✅ 2027 Batch
✅ Final-Year Students
✅ Recent Graduates
Students enrolled in undergraduate,
postgraduate, or related technical programs are encouraged to apply.
🛠 Essential Skills Required
Technical Skills
Programming
·
Python
·
SQL
·
R (Preferred)
·
Java (Optional)
Data Science
·
Machine
Learning
·
Predictive
Analytics
·
Statistical
Modeling
·
Data
Visualization
Analytics Tools
·
Pandas
·
NumPy
·
Scikit-Learn
·
Tableau
·
Power BI
Databases
·
MySQL
·
PostgreSQL
·
BigQuery
Cloud Knowledge (Bonus)
·
AWS
·
GCP
·
Azure
🌟 Preferred Soft Skills
·
Analytical
Thinking
·
Problem
Solving
·
Communication
Skills
·
Team
Collaboration
·
Business
Understanding
·
Curiosity
& Learning Mindset
💰 Expected Salary / Stipend
Although the exact internship
compensation is not publicly disclosed, based on comparable Data Science
Internship opportunities in the United States and Gametime's competitive
compensation philosophy, candidates can expect:
|
Compensation
Component |
Estimated
Amount |
|
Monthly
Stipend |
$3,500 –
$6,500 |
|
Annualized
Equivalent |
$42,000 –
$78,000 |
|
Additional
Benefits |
Learning,
Mentorship, Networking |
The actual stipend may vary
depending on location, qualifications, and company policies.
🌍 Job Location
Remote (United States)
Gametime follows a remote-first
work culture, allowing employees and interns to work from various locations
across supported U.S. states. The company invests heavily in collaboration,
flexibility, and employee experience.
🎁 Benefits of Joining Gametime
Why This Internship Stands Out
✅ Remote Work Flexibility
✅ Exposure to Real Business
Problems
✅ Mentorship from Industry Experts
✅ Work on AI & Data Science
Projects
✅ Hands-on Pricing Analytics
Experience
✅ Networking Opportunities
✅ Potential Full-Time Conversion
Opportunities
Gametime offers employee-centric
benefits including wellness programs, learning opportunities, equity programs
for employees, and a strong remote culture.
📝 Selection Process
The hiring process may include:
Round 1: Application Screening
·
Resume Review
·
Academic
Performance
·
Projects
Evaluation
Round 2: Online Assessment
·
SQL Questions
·
Python Coding
·
Statistics
& Analytics
Round 3: Technical Interview
Topics may include:
·
Data Analysis
·
Machine
Learning Basics
·
Probability
& Statistics
·
SQL Queries
·
Python
Programming
Round 4: Hiring Manager Discussion
·
Behavioral
Questions
·
Project
Discussions
·
Business
Problem Solving
🚀 Pro Tips to Get Selected
1️⃣ Build Strong Data Science Projects
Create projects involving:
·
Predictive
Analytics
·
Recommendation
Systems
·
Demand
Forecasting
·
Pricing
Optimization
2️⃣ Strengthen SQL Skills
Practice:
·
Joins
·
Window
Functions
·
CTEs
·
Aggregations
3️⃣ Master Python Libraries
Focus on:
·
Pandas
·
NumPy
·
Matplotlib
·
Scikit-Learn
4️⃣ Learn A/B Testing
Understand:
·
Statistical
Significance
·
Experiment
Design
·
Hypothesis
Testing
5️⃣ Create a Data Science Portfolio
Showcase:
·
GitHub
Projects
·
Kaggle
Competitions
·
Research Work
❓ Frequently Asked Questions (FAQs)
1. Is Gametime internship remote?
Yes, Gametime follows a
remote-first work culture and supports remote opportunities across eligible
U.S. locations.
2. Who can apply?
Students pursuing degrees in
Computer Science, Data Science, Statistics, Mathematics, AI, Machine Learning,
and related fields.
3. Is prior internship experience required?
No. Strong projects, technical
skills, and analytical ability can significantly improve your chances.
4. What skills are most important?
Python, SQL, Statistics, Machine
Learning, Data Analytics, and Problem Solving.
5. Is there a possibility of full-time conversion?
Many technology companies evaluate
high-performing interns for future full-time opportunities, subject to business
requirements.
🏆 Conclusion
The Gametime United Data Science
Intern 2026 opportunity is an excellent gateway for students and aspiring
data professionals to gain real-world experience in pricing analytics, machine
learning, and business intelligence. With a remote-first culture, strong
mentorship, and exposure to large-scale datasets, this internship can
significantly accelerate your career in Data Science and Analytics.
If you have strong analytical
skills, a passion for solving business problems through data, and proficiency
in Python and SQL, this internship deserves a spot on your application list.
Apply early, optimize your resume, and showcase impactful data science projects to maximize your chances of success.
🔗 Apply Link: Click Here To Apply for Gametime
|
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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 job placements. Recruitment will be conducted according to the
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