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EA Data Science Intern Recruitment 2026 – Hyderabad

Electronic Arts (EA) has announced an internship opportunity for the position of Data Science Intern in Hyderabad, Telangana. The role is part of EA’s Digital Platform (EADP) organization, which works on technology and engineering solutions that support EA’s games and digital services globally.

As a Data Science Intern, you will get hands-on experience developing custom machine learning models to solve real-world challenges across EA’s games. The work involves preparing and analyzing large datasets, handling imbalanced data, developing machine learning solutions, and deploying models that can operate reliably at scale.

This opportunity is suitable for candidates interested in data science, machine learning, model deployment, and large-scale distributed applications. The position is listed as an Intern – Temporary Employee, with a hybrid work model in Hyderabad. Candidates can review the official job listing and apply through EA’s careers portal.

EA Internship Details – Overview

Company Name	Electronic Arts (EA)
Job Role	Data Science Intern
Role ID	215937
Qualification	Any Recent Graduates (specific degree requirement not mentioned in the provided description)
Eligible Batch	Any Recent Batches (specific passing years not mentioned)
Salary/Stipend	As per Company Standards

Job Location: Hyderabad, Telangana, India

Department: CT – Infrastructure & Platform

Organization: EA Digital Platform (EADP)

Worker Type: Intern – Temporary Employee

Work Model: Hybrid

Experience: Not specified by the company.

Internship Duration: Not specified by the company.

Eligibility Criteria

The provided EA job description does not list specific educational qualifications, academic scores, or eligible graduation years. Candidates should check the official application portal for any additional eligibility requirements.

Based on the responsibilities of the position, applicants should be interested in or familiar with the following areas:

• Data science and machine learning concepts.
• Data cleaning, preprocessing, and analysis.
• Working with large datasets and maintaining data quality.
• Machine learning model development and implementation.
• Handling imbalanced datasets and evaluating model performance.
• Deploying and monitoring machine learning models.
• Collaborating with engineers, product managers, and cross-functional teams.
• Working in a fast-paced development environment.

These are areas related to the advertised responsibilities, not additional mandatory eligibility conditions. The job description does not specify a required degree specialization, minimum CGPA, or prior work experience.

Skills Required

The internship focuses on practical machine learning development and data science activities. The following technical areas are relevant to the responsibilities described by EA:

• Machine Learning: Understanding how to develop, train, and implement custom machine learning models.
• Data Cleaning and Preprocessing: Ability to prepare raw datasets for analysis and modelling.
• Data Analysis: Ability to explore large datasets, identify patterns, and maintain data quality.
• Imbalanced Dataset Handling: Understanding techniques to manage uneven class distributions and improve model performance.
• Model Deployment: Knowledge of deploying and hosting machine learning models in production environments.
• Model Monitoring: Understanding how to monitor model performance and use feedback loops for continuous improvement.
• Model Fairness: Awareness of identifying and reducing bias in machine learning models.
• Distributed Applications: Interest in building scalable applications and solutions.
• Communication and Collaboration: Ability to work with product managers, senior engineers, and cross-functional teams.
• Technical Documentation: Ability to document processes, model performance, and recommendations.

The provided description does not specify particular programming languages, libraries, or frameworks as mandatory requirements. Candidates should avoid assuming that any specific technology is compulsory unless it is mentioned in the official application details.

Roles and Responsibilities

Selected candidates will work with EA’s Digital Platform organization on machine learning solutions that support real-world challenges across EA’s games and services. Key responsibilities include:

• Requirement Understanding: Work with product managers, senior engineers, and peers to understand requirements and identify suitable technical solutions.
• Application Development: Prototype and build large-scale distributed applications.
• Machine Learning Development: Develop and implement custom machine learning models for practical business and gaming-related challenges.
• Data Preparation: Clean, preprocess, and analyze large datasets while ensuring data quality and integrity.
• Imbalanced Data Management: Address imbalanced datasets to improve model performance.
• Model Deployment: Deploy and host machine learning models while ensuring scalability and reliability in production environments.
• Model Monitoring: Monitor production models and implement feedback loops for continuous improvement.
• Bias Mitigation: Identify and mitigate model biases to improve fairness and accuracy.
• Cross-Functional Collaboration: Work with different teams to understand business requirements and translate them into technical solutions.
• Documentation: Document processes and model performance and provide insights and recommendations.

Salary and Internship Stipend Insights

EA has not disclosed a specific salary or monthly internship stipend in the provided job description for the Data Science Intern position. Therefore, the compensation should be considered As per Company Standards until confirmed by the employer.

Candidates should verify the internship stipend, payment terms, duration, and other employment conditions directly with EA during the recruitment process. Do not rely on unofficial salary estimates when evaluating the opportunity.

If you are comparing internship opportunities and planning your finances, explore this Personal Finance Guide for Freshers. You can also understand the difference between total compensation and take-home salary through the CTC vs In-Hand Salary Guide and learn how salary components are presented in a salary slip.

Career Resources for Data Science and Other Freshers

Building a strong foundation in data science, machine learning, programming, and problem-solving can help candidates prepare for technology internships and entry-level roles. Explore these NextGen Careers Hub resources to learn about different career paths and improve your job preparation:

• Highest-Paying Finance Jobs in India – Explore career opportunities and earning potential in the finance industry.
• Personal Finance Guide for Freshers – Learn budgeting and financial planning when starting your professional journey.
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• Highest-Paying Jobs Without Coding in India – Explore career options beyond traditional software development.
• Highest-Paying IT Companies in India for Freshers – Learn about major technology employers and entry-level opportunities.
• Highest-Paying Skills in 2026 – Explore in-demand technical and professional skills.
• AI Engineer Roadmap – Understand the learning path for building a career in artificial intelligence and machine learning.
• Resume Tips for Freshers – Learn how to prepare a professional resume for internships and entry-level jobs.
• How to Crack HR Rounds as a Fresher – Prepare for common HR interview questions and discussions.
• Top Interview Mistakes to Avoid – Identify common interview mistakes and improve your preparation.
• STAR Method Explained – Learn how to structure answers to behavioural interview questions.
• Top 50 Logical and Tricky Interview Questions with Answers – Practise logical reasoning and problem-solving questions.

How to Apply for EA Data Science Intern?

Interested candidates can submit their applications through Electronic Arts’ official careers website. Follow these steps:

1. Visit the official EA careers page using the application button below.
2. Review the complete Data Science Intern job description and verify the role details.
3. Check the educational and other eligibility requirements displayed on the application portal.
4. Sign in to your EA careers account or create an account if required.
5. Enter your personal, educational, and other requested details accurately.
6. Upload your updated resume and any other requested documents.
7. Review your application and submit it through the official careers portal.
8. Monitor your registered email for updates from the EA recruitment team.

Apply Online – EA Careers

Official Role ID: 215937

Important Tips for Applicants

• Revise fundamental machine learning concepts, including supervised learning, unsupervised learning, model evaluation, and overfitting.
• Practise data cleaning, preprocessing, exploratory data analysis, and handling missing values.
• Understand imbalanced datasets and common approaches to improving model performance.
• Prepare to explain any academic, personal, or internship projects involving data analysis or machine learning.
• Learn the basics of model deployment, production monitoring, and continuous improvement.
• Understand why fairness and bias detection matter when building machine learning models.
• Keep your resume updated with relevant projects, technical skills, and measurable contributions.
• Review the hybrid work arrangement and Hyderabad location before applying.
• Apply through the official EA careers portal and avoid paying anyone for recruitment or selection.

Frequently Asked Questions (FAQs)

1. What is the job role offered by Electronic Arts?

Electronic Arts is offering a Data Science Intern position in Hyderabad, Telangana. The internship involves developing custom machine learning models, analyzing large datasets, deploying models, and monitoring their performance.

2. What is the job location for the EA Data Science Internship?

The job location is Hyderabad, Telangana, India. The role is listed with a hybrid work model.

3. What is the qualification required for the EA Data Science Intern position?

The provided job description does not specify a particular degree, specialization, minimum CGPA, or passing year. Candidates should check the official application portal for the complete eligibility requirements.

4. What skills are relevant for the EA Data Science Internship?

Relevant areas include machine learning, data cleaning, preprocessing, data analysis, handling imbalanced datasets, model deployment, production monitoring, bias mitigation, and technical documentation. The provided description does not list specific programming languages or frameworks as mandatory requirements.

5. What is the internship duration and stipend for this EA role?

The role is listed as an Intern – Temporary Employee, but the provided job description does not mention the internship duration or stipend. Candidates should confirm these details with EA during the recruitment process.

Disclaimer

This job information has been prepared for informational purposes based on the job description provided and the official Electronic Arts careers listing. Eligibility requirements, internship duration, compensation, work arrangements, and application status may change at the employer’s discretion. Candidates should verify all details on the official EA careers portal before applying. NextGen Careers Hub is not affiliated with Electronic Arts and does not guarantee selection or employment.