Intern: Data Analytics / Data Science (Spring 2027) in Leeds

At Rockstar Games, we create world-class entertainment experiences. Become part of a team working on some of the most rewarding, large-scale creative projects to be found in any entertainment medium - all within an inclusive, highly-motivated environment where you can learn and collaborate with some of the most talented people in the industry. Rockstar Leeds is on the lookout for students who have a passion for data analysis and the insights that data provide to help build an immersive game experience. This is a paid, fixed term contract position running for 15 weeks from late January 2027 to early May 2027, with the expectation of a 37.5-hour work week. The successful candidate will work in Rockstar’s unique game development studio in the heart of Leeds, England.

WHAT WE DO

The Rockstar Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making. We partner with multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games. We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications. We work alongside an exploding team of innovative data-driven decision makers directly impacting Rockstar’s future.

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 and pipelines.
• Collaborate with fellow interns on Research and Development projects.

REQUIREMENTS

Please note this internship is intended for undergraduate students, postgraduate students, or recent graduates who have completed coursework in data science, data analytics, or a related field. Required skills include:

• 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.

PLUSES

Please note that these are desirable skills and are not required to apply for the position.

• Experience querying data from a database using SQL (or an equivalent).
• Familiarity with cloud computing and big data technologies.
• Familiarity with Rockstar products.

ADDITIONAL INFORMATION

Applicant must have the right to work in the UK. Please note that this is an onsite role based in Leeds, England.

HOW TO APPLY

Please apply with a CV and cover letter demonstrating how you meet the skills above. If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain the next steps and guide you through the process. Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.