Data Science Intern, Analytics (6-month internship)

Tencent; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Tencent in Singapore seeks a data scientist to analyze large datasets, build ML-powered gaming solutions, and deliver actionable insights for business decisions. You will collaborate with product and engineering teams to drive data-driven strategies and measurable value.

Ideal candidates are pursuing MS/PhD in a quantitative field, with strong Python/SQL skills, ML experience, and familiarity with AI/LLM concepts. Gaming passion is a plus.

Qualifications

• Pursuing MS/PhD in a quantitative field such as Statistics, Math, Economics, Computer Science, Machine Learning, etc.
• Experience in statistical analysis (probabilities, hypothesis testing, multivariate analysis, time series, predictive modeling, A/B experiments).
• Experience building complex data products and ML systems on large datasets preferred.
• Proficient in Python and SQL; solid understanding of modern AI/LLM and hands-on experience is a plus.
• Excellent communication, collaboration, execution capabilities, and keen business acumen.
• Passionate about games and the gaming industry; gaming experience in FPS/TPS titles is a plus.

Responsibilities

• Analyze large-scale datasets to solve complex business and technical challenges in gaming through analytics, forecasting, ML, recommender systems, 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.
• Develop and maintain robust data scraping and collection pipelines (web crawling, API ingestion, data wrangling) at scale.
• Stay updated with the latest advancements in data science and AI, applying them to gaming applications.
• Engage in technical knowledge sharing, documentation, and cross-team collaboration.

Skills

Python

SQL

Statistical analysis

Machine learning

Data wrangling

Communication

Education

MS/PhD in statistics, math, economics, CS, ML

Tools

Pandas

scikit-learn

Jupyter

TensorFlow

Job description

Tencent is an Internet-based platform company founded in Shenzhen, China, in 1998. We use technology to enrich the lives of Internet users and assist the digital upgrade of enterprises. Our mission is "Value for Users, Tech for Good". We embrace a culture of teamwork & creativity and are driven by our values - Integrity, Proactivity, Collaboration and Creativity.

We are rapidly expanding our international operations and are looking for top talent to propel us forward. Combining the results-oriented nature of a start-up with the resources of a profitable and leading Internet company, Tencent offers a unique opportunity for aspiring individuals to thrive.

Key Responsibilities

• 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.
• Develop and maintain robust data scraping and collection pipelines (web crawling, API ingestion, data wrangling) to gather competitive intelligence, market signals, and player/community data at scale.
• 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.

Requirements

• Pursuing a M.S., or Ph.D. 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.Solid understanding of modern AI/LLM and hands-on experience applying them to real-world problems is a plus
• Excellent communication, collaboration, execution capabilities, and keen business acumen.
• Passionate about games and the gaming industry. Gaming experiences in FPS/TPS titles is a plus.