Data Science Intern

Data Science Summer Intern

Electronic Arts is looking for students to join our world-class internship experience. Summer 2025 will be better than ever as we bring all interns together on-site for orientation week and prep students for the future ways of work by offering remote and hybrid opportunities depending on your location. For more information about our Next-Gen Program, visit https://www.ea.com/careers/interns-and-university-graduates

We are a global team of creators, storytellers, technologists, experience originators, innovators and so much more. We believe amazing games and experiences start with teams as diverse as the players and communities we serve. At Electronic Arts, the only limit is your imagination.

At EA, data-driven decision-making is the heart of our game development. We're looking for a passionate Data Science Intern with a solid background in statistical analysis, machine learning, data modeling, and, of course, a love for games and digital innovation.

As a Data Science intern, you’ll work closely with experts in the Data and Analytics team, contributing to machine learning models that power intelligent features across EA’s games. You’ll gain hands-on experience in areas such as recommendation systems, matchmaking, natural language processing (NLP), image classification, etc.

Under the guidance of an experienced senior data scientist, you’ll receive continuous support and mentorship to enhance your skills and contribute meaningfully to high-impact projects. Your work will directly contribute to AI-powered products that drive insights, improve player engagement, and enhance in-game experience. You’ll have the opportunity to shape features that test designs, recommend content, monitor economies, and create safe spaces to bring players closer together.

The biggest and single most important aspect that we look for in aspiring colleagues is people who enjoy the joy of discovery.

Responsibilities

• Research, design, implement, and validate models.
• Perform advanced statistical/machine learning analyses on customer databases and other sources.
• Manipulate and process data, and create data visualizations to aid in your modeling efforts.
• Work with game teams/partners (internal clients) to understand their offerings/domain and create data science products and solutions to solve for their use cases.
• Communicate and present results to business leaders, product managers, analysts, and others throughout the organization.
• Implement and share new methodologies.
  
  

Qualifications

• Masters or PhD student enrolled in a STEM major.
• Experience with applied statistics or machine learning, including topics such as supervised and unsupervised learning techniques, deep learning (CNNs, RNNs, transformers), reinforcement learning, NLP, or time series analysis.
• Experience using Python and SQL.
• Experience with PyTorch/TensorFlow, Hive/Hadoop, or AWS/GCP is a plus.
• Strong communication skills with the ability to create compelling stories for executives.
• Strong ability to build partnerships and collaboration across teams.
• A willingness to learn, share, and improve.
• Ability to drive projects through to completion.
• Interest in games is a big plus.
  
  

We are only considering students who will be enrolled in an accredited Masters or PhD program in the summer of 2025, slated to graduate no earlier than December 2025. Applicants must be legally authorized to work in the US or Canada on a full time basis during the 16-week internship. Visa sponsorship is not available for this position.

Bc Compensation And Benefits

The base salary ranges listed below are for the defined geographic market pay zones in these states. If you reside outside of these locations, a recruiter will advise on the base salary range and benefits for your specific location.

EA has listed the pay ranges it in good faith expects to pay applicants for this role in the locations listed, as of the time of this posting. Salary offered will be determined based on numerous relevant business and candidate factors including, for example, degree type (e.g. Bachelor’s, Master’s, PhD), what stage you are in your degree journey (i.e. freshman, sophomore, etc.), qualifications, certifications, experience, skills, geographic location, and business or organizational needs.

BASE SALARY RANGES

• British Columbia (depending on location e.g. Vancouver vs. Victoria):
  
  

º 65,000 - $70,000 CAN Salary

The pay is just one part of the overall compensation at EA. We also offer a package of benefits including 80 hours per year of sick time (prorated based on scheduled hours per week if less than full-time), 16 paid company holidays per year, medical insurance, and 401(k).