Data Analytics Intern — Gaming Insights & ML (Leeds)

Rockstar Games Internships; Leeds; On-site; GBP 16,000 - 20,000; Full time

Job summary

Rockstar Games Leeds is recruiting for a paid, fixed-term Data Analytics Internship running 15 weeks from late January 2027 to early May 2027, with a 37.5-hour week. You will work in a world-class game development studio in Leeds, contributing to analytics initiatives across the organization.

The role focuses on turning data into insights, building reports and models, and collaborating with stakeholders to inform decisions.

Qualifications

• Exposure to statistical methods, including distributions, predictive modeling, data validation, and hypothesis testing.
• Ability to understand a business problem and translate it into a technical problem.
• Ability to communicate results and present findings to a variety of stakeholders.
• Excellent problem-solving ability.
• Exposure to Python.
• Curiosity in how to use machine learning and advanced analytical methods to solve problems.
• Great team communication skills.
• Excellent writing skills.

Responsibilities

• Provide strategic insight and predictive modeling on player behavior.
• Deliver reports and analysis projects using player, game, and platform data.
• Achieve well-scoped goals based on guidance and support from Leads and team members.
• Experiment with and explore new opportunities for machine learning applications while contributing to existing models & pipelines.
• Collaborate with fellow interns on Research and Development projects.

Skills

Statistics knowledge

Python

Data visualization

Communication

Problem solving

Teamwork

Excellent writing

Education

Data Science coursework

Statistics coursework

Tools

Python

SQL

Cloud computing

Big data technologies

Job description

Rockstar Games Leeds is recruiting for a paid, fixed-term Data Analytics Internship running 15 weeks from late January 2027 to early May 2027, with a 37.5-hour week. You will work in a world-class game development studio in Leeds, contributing to analytics initiatives across the organization.

The role focuses on turning data into insights, building reports and models, and collaborating with stakeholders to inform decisions.