About the Company

Electronic Arts Inc. (EA) is offering a Data Science Internship based in Hyderabad, with the posting updated on October 24, 2025.

Job Description

EA is seeking a highly motivated Data Science Intern to join their team. This internship provides an opportunity to contribute to impactful projects within a leading interactive entertainment company.

Responsibilities

• Develop robust and reusable Python modules and Jupyter notebooks for data acquisition, feature generation, and model training, leveraging libraries such as pandas, NumPy, and scikit-learn.
• Produce well-documented, maintainable code adhering to object-oriented programming (OOP) principles, incorporating type hints, docstrings, and comprehensive unit/integration tests. Actively engage in code reviews and follow established Git-based development workflows.
• Conduct exploratory data analysis (EDA) on diverse datasets to define pertinent problem statements, formulate testable hypotheses, and generate insightful visualizations and summary statistics.
• Implement and rigorously evaluate both baseline and advanced machine learning (ML) models. This includes selecting appropriate performance metrics, designing controlled experiments, and applying cross-validation techniques to ensure model robustness.
• Utilize advanced SQL skills to extract and transform data efficiently. Collaborate with team members to construct reliable data pipelines that support critical analytics and reporting applications.
• Effectively communicate findings through clear and concise narratives, interactive dashboards and plots, and reproducible notebooks. Translate data-driven insights into actionable product and business recommendations.
• Actively contribute to the team’s development lifecycle by promoting best practices in automation, continuous integration (CI), and comprehensive documentation. Proactively identify and suggest improvements to existing processes and tools.

Qualifications

• Demonstrated mastery of Python for data-related tasks, including extensive experience with pandas, NumPy, and scikit-learn. Ability to write reusable functions and classes, effectively debug and profile code, and understand basic packaging principles.
• Solid foundation in coding fundamentals, including data structures and algorithms, object-oriented programming, modular design principles, unit testing using frameworks like pytest, and proficiency in version control systems (Git) with a strong understanding of code review processes.
• Comprehensive knowledge of machine learning and data science fundamentals, encompassing supervised learning algorithms (linear/logistic regression, decision trees, ensemble methods), regularization techniques, bias-variance trade-off, cross-validation strategies, feature scaling and encoding methods, and model evaluation metrics (AUC/ROC, F1-score, RMSE/MAE, calibration).
• Strong statistical background for data analysis, including sampling methods, hypothesis testing, confidence intervals, and probability distributions. Must be capable of selecting appropriate statistical tests and interpreting the results accurately.
• Proficiency in SQL for data extraction, joins, aggregations, and a working understanding of query optimization techniques. Competence in using Git for version control (GitHub/GitLab workflows, branching, pushing, merging).
• Extensive experience in data wrangling and exploratory data analysis (EDA), including handling missing values and outliers, performing joins and pivots, applying time-series and tabular transformations, creating clear visualizations using matplotlib or plotly, and generating narrative summaries of findings.
• Strong problem-solving skills and a sense of ownership, demonstrated by the ability to define problems clearly, design effective experiments, deliver incremental value, and thoroughly document decisions.
• Excellent communication skills, including the ability to create concise written documentation and notebooks and provide clear verbal explanations tailored to both technical and non-technical audiences.

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Other Information

* Internship Location: Hyderabad
* Internship Duration: 3 months
* Work Schedule: 5 days a week
* Eligibility: Open to Freshers
* Posting updated on: 2025-10-24

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