Electronic Arts Data Science Intern Jobs 2026
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Data Science Intern at Electronic Arts – Jobs 2026
Electronic Arts (EA) is offering a Data Science Intern opportunity in Hyderabad, Telangana, India. The position is part of the CT – Infrastructure & Platform department and provides hands-on experience developing machine learning models for real-world challenges across EA’s games and digital services.
This hybrid internship focuses on machine learning, large-scale distributed applications, data preprocessing, model deployment, and artificial intelligence. Candidates with a background in computer science, Python or R, and machine learning technologies can explore this opportunity through EA’s official careers portal.
Quick Job Details
| Company | Electronic Arts (EA) |
| Job Role | Data Science Intern |
| Qualification | Bachelor’s/Master’s in Computer Science, Computer Engineering, Software Engineering, or a related concentration, or equivalent combination of education |
| Experience | Not specified by the employer |
| Eligible Batch | Not specified by the employer |
| Location | India |
| Work Location | Hyderabad, Telangana |
| Work Mode | Hybrid |
| Job Type | Intern – Temporary Employee |
| Salary | Not specified by the employer |
| Role ID | 215937 |
Role Overview
EA’s Digital Platform (EADP) organization drives technology decisions and investments across the company’s divisions and studios. As a Data Science Intern, you will work with product managers, senior engineers, and other team members to develop scalable machine learning solutions that support player engagement and EA’s digital gaming experiences.
Key Responsibilities
- Understand business and product requirements and prototype large-scale distributed applications.
- Develop and implement custom machine learning models for real-world problems.
- Clean, preprocess, and analyze large datasets while maintaining data quality and integrity.
- Manage imbalanced datasets and evaluate model performance.
- Deploy, host, monitor, and maintain machine learning models in production environments.
- Identify and mitigate model bias to improve fairness and accuracy.
- Collaborate with cross-functional teams to translate business needs into technical requirements.
- Document processes, model performance, insights, and recommendations.
Eligibility & Required Skills
Applicants should have a bachelor’s or master’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field, or an equivalent combination of education.
The listed technical requirements include:
- Strong fundamentals in computer science, algorithms, data structures, design patterns, and CI/CD processes.
- Proficiency in Python or R and experience with TensorFlow, PyTorch, or Scikit-learn.
- Understanding of data preprocessing, imbalanced datasets, model evaluation, and bias reduction.
- Familiarity with deploying models on AWS, Google Cloud Platform (GCP), or Microsoft Azure.
- Good understanding of large language model (LLM) architecture, fine-tuning, training, and AI agents.
- Strong problem-solving, communication, and technical design skills.
Salary & Career Information
The salary or stipend is not provided in the supplied job description. This internship offers practical exposure to machine learning development, AI technologies, cloud deployment, model monitoring, and scalable systems in the gaming industry. Review the official vacancy for further employment details.
Recommended Skills & Learning Resources
- Practise Python, data cleaning, exploratory data analysis, and machine learning model evaluation.
- Build projects using Scikit-learn, PyTorch, or TensorFlow, and learn the fundamentals of LLMs and AI agents.
Interview Preparation
Revise Python or R, algorithms, data structures, machine learning fundamentals, imbalanced classification, model evaluation metrics, and methods for identifying bias. Prepare to explain a machine learning project, its deployment approach, and how you would monitor model performance after release. Review LLM architecture and AI agent concepts as well.
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How to Apply
- Visit the official Electronic Arts careers page using the link below.
- Review the job requirements and confirm that your qualifications and skills match the role.
- Submit your application and updated resume through the official recruitment portal.
Frequently Asked Questions (FAQs)
1. Where is the Electronic Arts Data Science Intern position located?
The position is located in Hyderabad, Telangana, India, with a hybrid work model.
2. What qualifications are required for this internship?
A bachelor’s or master’s degree in Computer Science, Computer Engineering, Software Engineering, or a related concentration, or an equivalent combination of education, is listed.
3. Which technical skills are important for this role?
Python or R, machine learning libraries, data preprocessing, cloud model deployment, LLMs, AI agents, and model evaluation are among the listed requirements.
If your interests align with data science and artificial intelligence, review the official job description and apply through the EA careers portal.
