Senior Data Scientist - Live Service Integrity

Rockstar Games
Leeds
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist (GenAI)

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 is on the lookout for an experienced Data Scientist to join our Analytics team to scale our Game Security and Trust & Safety capabilities. In this role, you\'ll develop sophisticated detection systems, establish community safety metrics, and leverage advanced analytics to protect our player communities through data visualization, anomaly detection, supervised learning, and community health measurement.

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

Partner with Trust & Safety and Game Security teams to conduct high-impact projects that shape player safety policies, inform strategy, and ensure regulatory compliance (GDPR, DSA, OSA). Develop detection systems, advanced analytics models (graph analytics, NLP), and scalable machine learning applications protecting millions of players.

Responsibilities
  • Drive complex investigations and data-driven strategies addressing cheating, griefing, toxicity, and harassment at scale.
  • Develop and automate detection solutions for cheats, exploits, and violations with Game Security team.
  • Serve as subject matter expert on Trust & Safety metrics, regulatory compliance, and transparency reporting.
  • Design sophisticated detection systems balancing player safety with user experience using rule-based and ML approaches.
  • Translate complex analytical findings into actionable insights for technical and non-technical audiences, including executives.
  • Establish and monitor Trust & Safety and Anti-Cheat KPIs with dashboards enabling data-driven decisions.
  • Mentor junior team members and advance analytical best practices.
Requirements
  • Bachelor\'s in STEM field (Computer Science, Data Science, Statistics, Mathematics); advanced degree preferred.
  • 5+ years in data science/analytics with expertise in Security, Anti-Cheat, Trust & Safety, or related domains.
  • Strong SQL proficiency with large-scale databases.
  • Advanced Python, PySpark, and data science tools (numpy, pandas, scikit-learn) in cloud production environments.
  • Required expertise in one: graph analytics for coordinated behavior, NLP for content moderation/toxicity, or network analysis for community safety.
  • Experience with Trust & Safety metrics, transparency reporting, and regulatory frameworks (GDPR, DSA, OSA).
  • Exceptional communication and stakeholder management skills with ability to influence executive strategy.
  • Expert data storytelling—translating sophisticated analytics into clear narratives driving policy decisions.
  • Strategic thinking balancing player safety, user experience, and business objectives.
  • Passion for creating safe, inclusive gaming communities.
Pluses
  • Trust & Safety and/or Anti-Cheat experience at gaming, social media, or UGC platforms.
  • Real-time detection systems and streaming analytics experience.
  • Advanced ML Techniques (Transformers, LLMs, GenAI) for content moderation.
  • Graph analytics for coordinated behavior detection.
  • Published research or thought leadership in Trust & Safety, content moderation, or online community safety.
  • Experience with big data technologies (PySpark) and cloud platforms (AWS, GCP, Azure, Databricks).
  • Multilingual capabilities or experience with non-English content moderation challenges.
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

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.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

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.