Gaming Data Analytics Intern — Predictive Insights

Rockstar Games; Leeds; On-site; GBP 15,000 - 20,000; Full time

Job summary

Rockstar Leeds is seeking a data analytics intern to explore player behavior, build reports, and support the analytics team. This paid fixed-term placement runs 15 weeks from late January 2027 to early May 2027, with a 37.5-hour work week, onsite in Leeds, England.

Ideal candidates are undergraduates, postgraduates, or recent graduates with coursework in data science or analytics and a passion for turning data into actionable insights for immersive game experiences.

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

Statistical methods

Python

Business problem translation

Communication

Problem solving

Writing

Team collaboration

Education

Coursework in data science or analytics

Tools

SQL

Cloud computing

Big data technologies

Job description

Rockstar Leeds is seeking a data analytics intern to explore player behavior, build reports, and support the analytics team. This paid fixed-term placement runs 15 weeks from late January 2027 to early May 2027, with a 37.5-hour work week, onsite in Leeds, England.

Ideal candidates are undergraduates, postgraduates, or recent graduates with coursework in data science or analytics and a passion for turning data into actionable insights for immersive game experiences.