At a Glance
- Tasks: Join a dynamic team to enhance player safety through advanced data analytics and detection systems.
- Company: Rockstar Games, a leader in the entertainment industry with a focus on creativity and collaboration.
- Benefits: Inclusive work environment, opportunities for growth, and the chance to work on impactful projects.
- Why this job: Make a real difference in gaming communities by ensuring player safety and trust.
- Qualifications: 5+ years in data science with expertise in security and advanced analytics.
- Other info: Mentorship opportunities and a chance to work with cutting-edge technologies.
The predicted salary is between 36000 - 60000 £ per year.
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 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 London.
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.
Senior Data Scientist - Player Experience in London employer: Rockstar Games
Contact Detail:
Rockstar Games Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Player Experience in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Rockstar. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your data science projects, especially those related to Trust & Safety. This gives you a chance to demonstrate your expertise beyond just your CV.
✨Tip Number 3
Prepare for the interview by brushing up on your data storytelling skills. Be ready to explain complex analytics in simple terms, as you'll need to communicate with both technical and non-technical folks.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Rockstar team.
We think you need these skills to ace Senior Data Scientist - Player Experience in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in data science, especially in areas like Trust & Safety and Anti-Cheat. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share your passion for creating safe gaming communities and how your background makes you a strong candidate. Keep it engaging and personal!
Showcase Your Data Storytelling Skills: We love candidates who can translate complex data into clear narratives. Use examples from your past work to demonstrate how you've communicated analytical findings to both technical and non-technical audiences.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our team and culture.
How to prepare for a job interview at Rockstar Games
✨Know Your Data Science Stuff
Make sure you brush up on your data science skills, especially in areas like SQL, Python, and machine learning. Be ready to discuss your experience with detection systems and how you've tackled issues like cheating or toxicity in gaming.
✨Showcase Your Communication Skills
Since you'll need to translate complex analytics into clear insights, practice explaining your past projects to someone without a technical background. This will help demonstrate your ability to communicate effectively with both technical and non-technical audiences.
✨Understand Trust & Safety Metrics
Familiarise yourself with key Trust & Safety metrics and regulatory frameworks like GDPR. Be prepared to discuss how you've used these metrics in previous roles to drive decisions and improve player safety.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about past experiences where you had to balance player safety with user experience, and be ready to share your thought process and outcomes.