Electronic Arts Data Science Intern Recruitment 2026 : Electronic Arts (EA) has a Data Science Intern opportunity in Hyderabad, Telangana, for candidates interested in data science, machine learning, artificial intelligence (AI) and large language models (LLMs). The internship is part of EA’s Digital Platform (EADP) organization and focuses on developing machine learning models for real-world challenges across EA’s gaming and digital services.
According to the available job listing, the role follows a hybrid work model and involves building scalable applications, analyzing large datasets, deploying machine learning models and working with product managers and engineering teams. Candidates with a background in Computer Science or a related field and relevant technical skills can review the requirements and apply through the official EA Careers website.
Electronic Arts Data Science Intern Recruitment 2026: Overview
| Particulars | Details |
|---|---|
| Organization | Electronic Arts (EA) |
| Job Role | Data Science Intern |
| Job ID | 215937 |
| Department | CT – Infrastructure & Platform |
| Team | EA Digital Platform (EADP) |
| Job Type | Internship – Temporary Employee |
| Qualification | Bachelor’s/Master’s degree in Computer Science, Computer Engineering, Software Engineering or a related field, or an equivalent combination of education |
| Job Location | Hyderabad, Telangana, India |
| Work Mode | Hybrid |
| Main Skills | Python or R, Machine Learning, AI, LLMs and Data Science |
| Salary/Stipend | AS Per Company Rules |
| Application Deadline | ASAP |
| Official Apply Link | https://jobs.ea.com/en_US/careers/JobDetail/Data-Science-Intern/215937 |
About the EA Data Science Internship
Electronic Arts develops interactive entertainment experiences and games for players around the world. Its Digital Platform organization supports technology initiatives and digital services across EA’s divisions and studios.
As a Data Science Intern, candidates will have the opportunity to work on custom machine learning models designed to address practical problems in gaming. The role involves working with large datasets and developing solutions that can support high-volume, real-time applications.
ALSO READ:
The internship is suited to candidates who enjoy solving technical problems, experimenting with machine learning techniques and translating business requirements into practical software solutions.
EA Data Science Intern Eligibility Criteria
Candidates should review the following educational and technical requirements before applying.
Educational Qualification
The available job description lists the following educational background:
- A bachelor’s or master’s degree in Computer Science, Computer Engineering, Software Engineering or a related field.
- An equivalent combination of education may also be considered, as described in the job listing.
The exact graduation-year requirements and whether candidates must be currently enrolled in a degree programme are not confirmed in the available information. Check the official job page for any additional conditions.
Technical Skills Required
Candidates should have a good foundation in computer science and relevant machine learning technologies.
- Programming: Proficiency in Python or R.
- Machine Learning: Experience with libraries such as TensorFlow, PyTorch or Scikit-learn.
- Computer Science Fundamentals: Knowledge of algorithms, data structures, design patterns and CI/CD processes.
- Data Processing: Understanding of data cleaning, preprocessing and handling imbalanced datasets.
- Cloud Computing: Familiarity with deploying models using AWS, Google Cloud Platform (GCP) or Microsoft Azure.
- Model Evaluation: Knowledge of evaluation metrics and techniques for identifying and reducing model bias.
- Artificial Intelligence: Understanding of large language model (LLM) architecture, fine-tuning, LLM training and AI agents.
- Problem-Solving: Ability to analyze complex problems and develop practical technical solutions.
- Communication: Ability to explain technical concepts clearly to non-technical stakeholders.
Candidates should demonstrate the skills they genuinely possess through relevant projects, practical work or academic experience.
Responsibilities of an EA Data Science Intern
Selected candidates will work with product managers, senior engineers and other team members on technical projects.
The key responsibilities include:
- Machine Learning Development: Develop and implement custom machine learning models to solve real-world problems.
- Data Analysis: Clean, preprocess and analyze large datasets while maintaining data quality and integrity.
- Handling Imbalanced Data: Apply appropriate techniques to improve model performance when datasets contain unevenly distributed classes.
- Application Development: Help prototype and build large-scale distributed applications.
- Model Deployment: Deploy and host machine learning models while ensuring scalability and reliability in production environments.
- Model Monitoring: Monitor deployed models and use feedback loops to support continuous improvement.
- Bias Mitigation: Identify and reduce model bias to improve fairness and accuracy.
- Team Collaboration: Work with cross-functional teams to understand business requirements and translate them into technical solutions.
- Documentation: Document processes, model performance, insights and recommendations.
This role combines data analysis, machine learning engineering and practical AI development.
Salary and Stipend
The exact salary or monthly stipend for the EA Data Science Intern position has not been confirmed in the available job information. Candidates should check the official recruitment page or application details for compensation information.
Applicants should not rely on unverified salary figures published elsewhere.
Selection Process
The complete selection procedure has not been confirmed in the available job details. Depending on EA’s recruitment process, applicants may be asked to complete assessments or interviews, but these stages should not be treated as confirmed requirements for this particular vacancy.
Candidates can prepare by revising Python or R, data structures, algorithms, machine learning fundamentals, model evaluation, cloud deployment and LLM concepts.
How to Apply for EA Data Science Intern Recruitment 2026
Eligible and interested candidates can follow these steps to review and apply for the internship:
- Visit the official Electronic Arts Careers website using the link below.
- Open the Data Science Intern vacancy with Job ID 215937.
- Read the complete job description and confirm that your qualifications and technical skills match the requirements.
- Review the location, work arrangement and any additional application conditions.
- Prepare an updated resume highlighting relevant programming skills, machine learning projects, data science experience and AI-related work.
- Complete the application form and submit the required details through the official recruitment portal.
- Keep a record of your application and monitor your email for recruitment-related communication.
Official Application Link: https://jobs.ea.com/en_US/careers/JobDetail/Data-Science-Intern/215937
The application page should be checked to confirm that the vacancy is still accepting applications before submitting your details.
Preparation Tips for the EA Data Science Internship
Candidates interested in this opportunity can improve their preparation by focusing on the following areas:
- Practise Python or R programming and strengthen your understanding of algorithms and data structures.
- Build machine learning projects using Scikit-learn, TensorFlow or PyTorch.
- Learn data preprocessing, feature engineering and techniques for handling imbalanced datasets.
- Understand model evaluation metrics and methods for identifying model bias.
- Gain practical knowledge of deploying machine learning models on AWS, GCP or Azure.
- Study LLM architecture, fine-tuning, training concepts and AI agents.
- Prepare to explain your projects, technical decisions and the results you achieved.
A resume that clearly demonstrates relevant skills and project experience can help recruiters understand your suitability for the role.
Frequently Asked Questions (FAQs)
1. What is the EA Data Science Intern Recruitment 2026?
Electronic Arts has listed a Data Science Intern position focused on machine learning, data analysis, AI and scalable applications. The position is associated with EA’s Digital Platform organization.
2. Where is the EA Data Science Intern job located?
The job is listed in Hyderabad, Telangana, India, with a hybrid work model.
3. What is the qualification for the EA Data Science Intern position?
The available listing specifies a bachelor’s or master’s degree in Computer Science, Computer Engineering, Software Engineering or a related field, or an equivalent combination of education.
4. Which programming languages are required for the internship?
The listing specifies proficiency in Python or R, along with relevant machine learning knowledge.
5. Is this a work-from-home internship?
The position is listed as hybrid. This means the role is not confirmed as fully work from home. Candidates should check the official posting for the applicable work arrangement.
6. What is the stipend for the EA Data Science Intern?
The stipend has not been confirmed in the available job details. Check the official EA Careers page for compensation information.
7. What is the last date to apply for EA Data Science Intern Recruitment 2026?
The application deadline has not been confirmed in the available information. Visit the official job page to check the current application status and deadline, if provided.
8. How can I apply for the EA Data Science Intern job?
Visit the official EA Data Science Intern application page, review the requirements and submit your application through the employer’s recruitment portal if the vacancy is open.
Conclusion
The Electronic Arts Data Science Intern Recruitment 2026 is an opportunity for candidates with relevant Computer Science and machine learning skills to explore practical AI development in the gaming and digital services industry. The Hyderabad-based hybrid role covers machine learning model development, data preprocessing, cloud deployment, LLMs and AI agents.
Interested candidates should review the official job description, confirm the current vacancy status and check all applicable requirements before applying.