Gaming Data Science Intern: ML, Analytics & AI

Tencent; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Tencent is seeking a data science professional to analyze large-scale datasets and build data-driven strategies for gaming applications. You will collaborate with product and engineering teams to deliver actionable insights and robust data pipelines. Strong Python/SQL skills and ML knowledge are essential.

Experience with web scraping, APIs, and AI/LLM will be a plus. This role emphasizes cross-team collaboration and staying current with advancements in data science and gaming analytics.

Qualifications

• Pursuing a MS/PhD in statistics, math, economics, CS or ML.
• Experience in statistical analysis, hypothesis testing and time series.
• Proficient in Python and SQL; familiarity with AI/LLM is a plus.

Responsibilities

• Analyze large-scale datasets to solve gaming business and technical challenges.
• Collaborate with product and engineering to develop data-driven strategies.
• Deliver actionable insights to stakeholders.
• Develop and maintain data scraping and collection pipelines (web crawling, API ingestion, data wrangling).
• Stay updated with AI/LLM and generative AI to innovate in gaming.
• Engage in knowledge sharing and cross-team collaboration.

Skills

Python

SQL

Statistics

Machine Learning

A/B experiments

Time series analysis

Communication

Gaming experience

Education

MS/PhD in quantitative discipline

Tools

Web crawling

API ingestion

Data wrangling

Job description

Tencent is seeking a data science professional to analyze large-scale datasets and build data-driven strategies for gaming applications. You will collaborate with product and engineering teams to deliver actionable insights and robust data pipelines. Strong Python/SQL skills and ML knowledge are essential.

Experience with web scraping, APIs, and AI/LLM will be a plus. This role emphasizes cross-team collaboration and staying current with advancements in data science and gaming analytics.