Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

(Senior) Data Scientist, Gaming

Tencent
City of London
1 week ago
Create job alert
About the Hiring Team

Level Infinite is Tencent's global gaming brand. It is a global game publisher offering a comprehensive network of services for games, development teams, and studios around the world.

We are dedicated to delivering engaging and original gaming experiences to a worldwide audience, whenever and wherever they choose to play while building a community that fosters inclusivity, connection, and accessibility. Level Infinite also provides a wide range of services and resources to our network of developers and partner studios around the world to help them unlock the true potential of their games.

What the Role Entails
  • Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, machine learning, recommender systems, generative AI, experimentation, causal inference, and econometrics.
  • Collaborate with product and engineering teams to develop data-driven strategies and implement solutions that enhance business value.
  • Deliver actionable business insights to internal and external stakeholders.
  • Stay updated with the latest advancements in data science, machine learning, and generative AI, utilizing these technologies to innovate in gaming applications.
  • Engage in technical knowledge sharing, documentation, and cross-team collaboration.
Who We Look For
  • Master or PhD degree in a quantitative discipline such as Statistics, Math, Economics, Computer Science, Machine Learning, etc.
  • Experience in statistical analysis (probabilities, hypothesis testing, multivariate analysis, time series analysis, predictive modeling, A/B experiments, etc.).
  • Experience with building complex data products and machine learning systems on large datasets preferred.
  • Proficient in Python and SQL.
  • Excellent communication, collaboration, execution capabilities, and keen business acumen.
  • Passionate about games and the gaming industry.
Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst, Business Intelligence Data Analyst

Data Engineer

Data Analyst

Data Analyst

Data Engineer

Principal Data Engineer/Architect

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.