Data Science Intern
Electronic Arts — Hyderabad, Telangana
₹2.5–4.9 LPA (HireSetu estimate) · Entry level · Freshers eligible · Internship · hybrid
HireSetu listing reference f2b9cb — confirm requirements below, then apply on the employer site.
Quick answer: An ML internship in EA's Digital Platform group, hybrid in Hyderabad, working on models that sit behind games with tens of millions of monthly players. The qualification list reads closer to a junior ML engineer's than a student's.
From Electronic Arts's job posting
EADP
EA’s Digital Platform (EADP) organization is responsible for driving critical technology decisions and investments for EA on a global scale, across all divisions and studio teams. Technology and engineering leadership at EA is critical to making the industry’s best games & services and the EADP team is leading the way to providing cross-platform services that will keep our consumers connected with our games anytime, anywhere with anyone.
As a Data science intern, you will get hands-on experience of developing custom machine learning models to tackle real-world challenges within EA's games. EA’s network of games caters to tens of millions of monthly active users. You'll have the opportunity to build solutions that can scale at real time to handle several thousand requests per second and driving the player engagement of many of the industry’s most popular titles. If you like solving complex computing problems, are a passionate team player and thrive in a fast paced, ever changing development environment this is a great opportunity for you.
Responsibilities
Work with Product Managers, senior engineers and peers to understand requirements, prototype & build large scale distributed applications
Develop and implement custom machine learning models
Clean, preprocess, and analyze large datasets, ensuring data quality and integrity.
Address and manage imbalanced datasets to optimize model performance.
Deploy and host machine learning models, ensuring their scalability and reliability in production environments.
Monitor and maintain models in production, implementing feedback loops for continuous improvement.
Identify and mitigate biases in models to ensure fairness and accuracy.
Collaborate with cross-functional teams to understand business needs and translate them into technical requirements.
Document processes and model performance, providing insights and recommendations.
Qualifications
Bachelor's/master’s degree in computer/software engineering, Computer Science or related concentration, equivalent and/or combination of education.
A solid foundation in Computer Science fundamentals, algorithms, design patterns, CI/CD processes, and data structures.
Proficiency in Python or R, with experience in libraries such as TensorFlow, PyTorch, or Scikit-learn.
Strong understanding of data preprocessing techniques and handling imbalanced datasets.
Familiarity with deploying models using cloud platforms (AWS, GCP, or Azure).
Knowledge of model evaluation metrics and techniques to identify and reduce bias.
Excellent problem-solving skills and attention to detail.
Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
Good understanding of LLM architecture, fine-tuning, and training LLMs.
Robust understanding of AI agents.
Superb ability to take high level direction, work through ambiguity and drive to execution in an iterative model.
Superb ability to translate business requirements into technical design & architecture.
Ability to communicate ideas clearly and effectively.
Text from Electronic Arts's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
HireSetu's note
The bar you have to clear
Three things carry the application: a CS or software engineering degree, Python, and one of TensorFlow, PyTorch or scikit-learn. Everything else splits into evidence you can build and things you should already know. Deployment on a cloud, CI/CD, monitoring a model in production, handling imbalanced data and checking for bias can all come from one solid project you can talk through end to end.
The LLM lines get harder wording: a good understanding of fine-tuning and training, and a robust understanding of AI agents. Those two will come up. Three clouds are named, which reads as whichever you have touched being enough.
Who this suits
The title says intern, but the responsibilities describe someone who has pushed a model into production and kept it alive: deploy, host, monitor, build a feedback loop. If your ML experience is coursework and clean Kaggle notebooks, that gap is real and you'll feel it in the first month.
The fit is a final-year or master's student with an internship behind them, or someone a year into an ML job who wants game data. The data here is telemetry from live titles, so player behaviour is skewed and the rare events matter. Know how you'd handle a class that is 2 percent of the rows.
EADP is a platform group serving every EA studio, so settle early which part of it you'd join.
Drafted with AI from Electronic Arts's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.
How to apply
- Open Electronic Arts's careers site with the Apply button.
- Follow the application steps on the site and upload your resume.
- Keep the confirmation email or application number for follow-up.
Apply on Electronic Arts's site
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