Data & AI Analytics Intern

About WeChat

With over 1.3 billion users worldwide, WeChat is shaping the future of digital communication by connecting people, services, and businesses across the globe. The WeChat operations team offers a unique opportunity to redefine how users engage with mobile technology while gaining valuable insights into global user behavior and preferences. Based in Singapore, our team is responsible for managing and expanding WeChat’s core product offerings, including messaging and social networking, for users outside the Chinese mainland. Join us in making a meaningful impact by keeping millions of people connected through one of the world's most influential digital platforms.

About the Internship

WeChat’s internships provide paid, full-time opportunities lasting a minimum of 12 weeks. Interns will be mentored by senior members of the WeChat operations team and work hands-on in developing new projects and product features. By the end of the internship, participants will have gained a deep understanding of WeChat’s values, independently executed data-driven projects, and collaborated effectively across multiple departments, including product, engineering, and legal teams.

Why Join Us?

• Gain hands-on experience with large-scale data in a leading global tech company
• Work with cutting-edge technologies and experienced mentors in a dynamic environment
• Be part of an impact-driven team that shapes digital communication worldwide

Responsibilities

• Analyze large-scale datasets to identify business opportunities, detect patterns, and optimize product performance across the platform.
• Develop data dashboards and visualization tools to track key performance metrics and provide actionable product insights.
• Design and build scalable data pipelines to support analytics, operational decision-making, and platform security initiatives.
• Collaborate with cross-functional stakeholders (product, engineering, operations, and security teams) to translate analytical findings into business strategies and product improvements.
• Leverage AI-powered tools and technologies (e.g., LLMs, AI copilots, data assistants) to enhance analysis efficiency, automate workflows, and improve decision accuracy while maintaining robust traditional data engineering and analytics practices.
• Explore and integrate AI-driven methodologies to optimize analytical processes, including automated data exploration, report generation, and intelligent insight discovery.

Requirements

• Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Strong experience in data analytics and data engineering, including building data pipelines, statistical analysis, and data visualization.
• Proficiency in SQL and Python, with experience working with large-scale data platforms (e.g., Hive, Spark, or similar big data environments).
• Experience building data dashboards and reporting tools (e.g., Tableau, Power BI, Superset, or similar platforms).
• Familiarity with AI-assisted data analysis tools, including prompt engineering, context engineering, and AI workflow integration.
• Experience with RAG (Retrieval-Augmented Generation), AI agents, MCP frameworks, or similar AI infrastructure is a strong plus.
• Strong problem-solving skills with the ability to break down complex problems into structured analytical approaches.
• Excellent learning ability, curiosity for new technologies, and a strong sense of ownership and self-driven execution.