Senior Data Scientist - Game Analytics

Rockstar Games
Leeds
3 weeks ago
Create job alert

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 is on the lookout for a passionate Senior Data Scientist who possesses a passion for both games, and big data.


This is a full-time, permanent and in-office position based in Rockstar’s unique game development studio in the heart of Leeds, England.


WHAT WE DO

  • The Rockstar Analytics team provide actionable insights to a wide variety of stakeholders across the organization in support of their decision making.
  • We partner with multiple departments across the company to design and implement data and pipelines.
  • We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications.
  • The Game Analytics vertical is heavily focused on understanding our players and using data to improve our games.

RESPONSIBILITIES

  • Design, develop, and deliver data analytics solutions to address critical business or game questions, leveraging machine learning and advanced analytical techniques as appropriate.
  • Assure Rockstar’s ongoing competitive advantage by providing high quality insights and in‑depth analyses, aligned to strategic initiatives and design intentions.
  • Tell impactful stories with data through insightful, actionable reports and presentations.
  • Develop a deep understanding of gameplay flows, and leverage this to inform analysis of game data.
  • Identify and lead analytic value‑add projects and experiments aligned with long‑term strategic initiatives.
  • Conduct proactive in‑depth analysis and predictive modeling to uncover hidden opportunities.
  • Partner with data analysts, data engineers, data scientists, data governance analysts, and stakeholders to better understand requirements, find bottlenecks, and implement resolutions.
  • Help mentor and develop the skillsets of the junior team members within your team or department.

REQUIREMENTS

  • 5+ years in a data science role required.
  • Experience in writing production‑stable code (preferably Pyspark), pushing models and data pipelines to production, and iterating on models in production.
  • Proficiency in statistical theories such as probability, distributions, Bayesian statistics, causal inference.
  • Knowledge of machine learning techniques such as Clustering, Gradient Boosting, Neural Networks, Regression.
  • Excellent SQL skills and experience using Python for machine learning / statistical analysis.
  • Experience using large, complex datasets and building dashboards using a BI platform, ideally Tableau.
  • Excellent data storytelling and visualization skills, able to effectively communicate insights to a diverse range of stakeholders.
  • Strong problem‑solving skills with the ability to reconcile technical and business perspectives.
  • Passion for video games and knowledge of the industry.

PLUSES

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



  • Experience with Databricks and MLFlow.
  • Graduate degree (MBA, MSc or Master’s, PhD), an asset.
  • Game industry experience, an asset.
  • Bachelor’s degree in Computer Science, Mathematics, or a related field, with a strong quantitative background.

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 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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.