Data Science Intern

Tencent Games; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Level Infinite, Tencent’s global gaming brand, seeks a data scientist to analyze large-scale gaming datasets, build ML-powered data products, and design AI agents that unify diverse data sources for actionable insights.

You will collaborate with product and engineering teams to implement data-driven strategies, deliver insights to stakeholders, and stay current with LLM frameworks to push innovation in game-research. A passion for games is essential.

Qualifications

• Master or PhD in a quantitative discipline (Statistics, Math, Economics, CS, ML).
• Experience in statistical analysis (probabilities, hypothesis testing, time series, predictive modeling).
• Experience building complex data products and ML systems on large datasets preferred.
• Proficient in Python and SQL.
• Interest in agentic systems and multi-agent workflows for game research.
• Familiarity with LLM frameworks (LangChain, CrewAI, AutoGen).
• Excellent communication, collaboration, execution capabilities, and business acumen.
• Passionate about games and the gaming industry.

Responsibilities

• Analyze large-scale datasets to solve business and technical challenges in gaming with analytics, forecasting, ML, experimentation, and econometrics.
• Design and deploy AI Agents and Chatbots integrating diverse data sources for high-fidelity insights.
• Collaborate with product and engineering teams to develop data-driven strategies and implement solutions.
• Deliver actionable business insights to internal and external stakeholders.
• Stay updated with advancements in data science, ML, and generative AI for gaming applications.
• Engage in knowledge sharing, documentation, and cross-team collaboration.

Skills

Python

SQL

Statistics

Machine Learning

Communication

Collaboration

Education

Master's or PhD in quantitative discipline

Tools

LangChain

CrewAI

AutoGen

Job description

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.
• Design and deploy AI Agents and Chatbots that integrate diverse data sources and best-practice analytical frameworks to provide automated, high-fidelity insights for stakeholders.
• 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.
• Have an interest in developing agentic systems and multi-agent workflows to enhance player experiences and automate complex internal game-research processes. Has relevant experiences would be preferred.
• Stay up to date with LLM frameworks (e.g., LangChain, CrewAI, AutoGen) and identifying use cases where AI can provide value for in game-research.
• Excellent communication, collaboration, execution capabilities, and keen business acumen.
• Passionate about games and the gaming industry.