Join EA as a Data Science Intern in Hyderabad – Python, ML skills needed, full-time role with gaming industry exposure. Apply 2025!

Join EA as a Data Science Intern in Hyderabad

Job Role & Category:

Role: Data Science Intern
Category: Full-Time Internship, Onsite

🏢 Why Join Electronic Arts (EA)?

Electronic Arts (EA) is a global leader in digital interactive entertainment, creating next-level gaming experiences that inspire millions of players worldwide. With iconic franchises like FIFA, The Sims, Apex Legends, and Battlefield, EA has been at the forefront of gaming innovation for over 40 years. The company operates in 40+ locations globally and serves a community of over 450 million registered players.

EA’s culture emphasizes creativity, innovation, and inclusivity, where “everyone is part of the story.” The company has been consistently recognized as one of the Best Places to Work by Glassdoor and has received numerous awards for workplace diversity and innovation. Their Hyderabad office is a key technology hub driving data-driven decision-making and AI/ML innovations that power gaming experiences for millions of users globally.

📝 Job Summary

Join EA’s Data & Insights, AI Analytics Engineering team as a Data Science Intern to build enterprise-grade data platforms and ML solutions that power faster decision-making and unlock revenue opportunities. You’ll work in a hands-on, fast-moving environment, writing clean Python code, wrangling large gaming datasets, and helping move ML prototypes toward production. This role offers exceptional exposure to real-world data science applications in the gaming industry while collaborating with senior engineers and architects.

🔧 Key Responsibilities

🐍 Build robust Python modules and notebooks for data ingestion, feature engineering, and model training using pandas, NumPy, and scikit-learn
📝 Author clear, maintainable code using OOP, type hints, docstrings, and unit/integration tests; participate in code reviews
📊 Explore datasets to define problem statements, create hypotheses, and conduct EDA with visualization and summary statistics
🤖 Implement and evaluate baseline and advanced ML models; select metrics, design experiments, and apply cross-validation
💾 Apply solid SQL to extract/transform data; collaborate on building reliable data pipelines for analytics and reporting
📈 Communicate results with crisp narratives, dashboards/plots, and reproducible notebooks
🛠️ Contribute to best practices in the team’s development lifecycle (automation, CI, documentation)

✅ Who Can Apply?

🎓 Education Requirements:

Not specified in job description

💼 Experience Level:

Internship position (Full-time during term)

💡 Required Skills (Must-Have):

Python Mastery: pandas, NumPy, scikit-learn; writing reusable functions/classes; debugging and profiling
Coding Fundamentals: Data structures & algorithms, OOP, modular design, unit testing (pytest), Git version control
ML & DS Foundations: Supervised learning (linear/logistic regression, trees/ensembles), regularization, cross-validation, model evaluation
Statistics: Sampling, hypothesis testing, confidence intervals, distributions
SQL: Data extraction/joins/aggregations, query optimization basics
Data Wrangling: Handling missing/outliers, time-series transforms, visualizations (matplotlib/plotly)
Communication: Concise written documentation and clear verbal explanations

🌟 Good-to-Have Skills:

Cloud platforms (AWS, Azure, Snowflake)
MLOps/productionization (MLflow, FastAPI)
Big data tools (PySpark, Spark SQL)
Advanced ML (XGBoost, NLP fundamentals)
Competitive programming experience

📜 Certifications:

Not specified in job description

🌍 Work Location & Type

Location: Hyderabad, Telangana, India
Work Type: On-site (Full-time internship)
Work Model: Office-based role at EA’s Hyderabad facility

💰 Salary Insights

Based on industry standards for Data Science Interns at top gaming/tech companies in Hyderabad, the expected compensation range is:

Monthly Stipend: ₹40,000 – ₹70,000 per month
Annualized: Up to ₹8 LPA equivalent
Performance-Based: Potential for pre-placement offer (PPO) with competitive full-time packages
Additional Benefits: Access to EA’s gaming portfolio and potential conversion to full-time roles

Note: Actual compensation varies based on educational background, skills, and interview performance.

🎁 Perks & Benefits

Working at EA comes with industry-leading benefits:

🎮 Complimentary Games: Free access to EA’s entire game portfolio
🏥 Healthcare Coverage: Comprehensive medical insurance packages
🧠 Mental Well-being Support: Employee assistance programs and counseling
💰 Retirement Savings: Provident fund and gratuity benefits
🏖️ Paid Time Off: Generous leave policies including family leaves
📚 Learning & Development: Access to training programs and career development resources
🌍 Global Exposure: Work on products used by millions of gamers worldwide

📝 How to Apply

📢 How to Apply for EA Data Science Intern Recruitment 2025:

✅ Click on the “Apply” button below
✅ Navigate to EA’s careers portal
✅ Search for Role ID: 210246
✅ Create your EA careers account or login
✅ Fill in all required personal and professional details
✅ Upload your resume highlighting Python and ML projects
✅ Include portfolio/GitHub links showcasing your data science work
✅ Review and submit your application

🔗 Apply Now – EA Careers Portal

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❓ Frequently Asked Questions (FAQs)

Q1: What is the typical selection process for EA internships?
A: EA typically follows a multi-stage process including online coding assessment, technical interview focusing on Python and ML concepts, system design discussion, and cultural fit interview. The process usually takes 3-4 weeks.

Q2: Is this internship open to current students only?
A: The position mentions “Full-time during term” indicating it’s designed for current students who can commit to full-time work during their internship period. Recent graduates may also be considered.

Q3: What gaming-related projects will I work on?
A: As a Data Science Intern, you’ll work on player behavior analytics, game performance optimization, matchmaking algorithms, and revenue forecasting models that directly impact EA’s gaming titles.

Q4: Are there opportunities for full-time conversion after the internship?
A: EA has a strong track record of offering pre-placement offers (PPOs) to high-performing interns. Your performance, technical skills, and cultural fit will determine conversion opportunities.

Q5: Do I need prior gaming industry experience?
A: No prior gaming experience is required. Strong Python, ML, and data science fundamentals are more important. Passion for gaming and understanding player experiences is a plus.

🚀 Data Science Intern at Electronic Arts (EA) Hyderabad – Gaming Industry Opportunity | Up to ₹8 LPA

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