INTERNSHIP DETAILS

Data Intern

CompanyPrudential plc
LocationKuala Lumpur
Work ModeOn Site
PostedJanuary 28, 2026
Internship Information
Core Responsibilities
Responsibilities include assisting in the design, building, and maintenance of data pipelines and ETL processes, alongside cleaning, transforming, and analyzing large datasets from various sources. The intern will also collaborate on model development, support ML deployment, and contribute to data governance documentation.
Internship Type
full time
Company Size
55645
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We are Prudential. For Every Life, For Every Future. Prudential provides life and health insurance and asset management in Greater China, ASEAN, India and Africa. Prudential’s mission is to be the most trusted partner and protector for this generation and generations to come, by providing simple and accessible financial and health solutions. We are headquartered in Hong Kong and have dual primary listings on the Stock Exchange of Hong Kong and the London Stock Exchange. Visit our websites for more information: Prudential plc: https://www.prudentialplc.com/ Prudence Foundation: https://www.prudentialplc.com/en/prudence-foundation
About the Role

Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

Responsibilities:

  • Assist in designing, building, and maintaining data pipelines and ETL processes.
  • Clean, transform, and analyze large datasets from various sources.
  • Collaborate with data scientists and engineers to develop models and dashboards.
  • Support the deployment and monitoring of machine learning models.
  • Document processes and contribute to data quality and governance initiatives.
  • Explore new tools and technologies to improve data workflows.

Requirements:

  • Degree in Computer Science, Data Science, Engineering, or a related field.
  • Familiarity with Python, SQL, and data manipulation libraries (e.g., Pandas, NumPy).
  • Basic understanding of data warehousing concepts and cloud platforms (e.g., AWS, GCP, Azure), and PowerBI Visualization.
  • Exposure to machine learning concepts and tools (e.g., scikit-learn, TensorFlow) is a plus.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.

 

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

Key Skills
PythonSQLPandasNumPyETL ProcessesData PipelinesData AnalysisData WarehousingCloud PlatformsAWSGCPAzurePowerBI VisualizationMachine LearningScikit-learnTensorFlow
Categories
Data & AnalyticsTechnologySoftwareScience & ResearchEngineering