AI-Driven Data Science Intern

Tencent

Singapore

On-site

SGD 20,000 - 32,000

Full time

4 days ago
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Job summary

Tencent’s WeiXin Group is seeking a data-focused student for an analytical internship in Singapore. You will analyze large datasets, build dashboards, and develop scalable data pipelines to support analytics and platform security.

Collaboration with product, engineering, and operations teams will translate insights into product improvements. You will work with AI-powered tools to streamline analysis, automate workflows, and enhance decision accuracy while maintaining solid data engineering

Qualifications

  • Pursuing a Bachelor's or Master's in Data Science, CS, Statistics, or related field.
  • Strong background in data analytics, engineering, and building data pipelines.
  • Proficiency in SQL and Python with large-scale data platforms experience.

Responsibilities

  • Analyze large-scale datasets to identify opportunities and optimize product performance.
  • Develop data dashboards and visualization tools to track KPIs.
  • Design and build scalable data pipelines to support analytics and security.
  • Collaborate with product, engineering, operations, and security to translate insights.
  • Leverage AI tools to enhance analysis, automate workflows, and improve decisions.
  • Explore AI-driven methods to optimize analytics and insights discovery.

Skills

Data analytics
Data engineering
SQL
Python
Big data
Dashboarding

Education

Bachelor's or Master's in Data Science or CS/Statistics

Tools

Tableau
Power BI
Superset
Hive
Spark

Job description

Tencent’s WeiXin Group is seeking a data-focused student for an analytical internship in Singapore. You will analyze large datasets, build dashboards, and develop scalable data pipelines to support analytics and platform security.

Collaboration with product, engineering, and operations teams will translate insights into product improvements. You will work with AI-powered tools to streamline analysis, automate workflows, and enhance decision accuracy while maintaining solid data engineering

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