INTERNSHIP DETAILS

Intern Rewards & OD Data Scientist

CompanyAirAsia
LocationKuala Lumpur
Work ModeOn Site
PostedOctober 28, 2026
Internship Information
Core Responsibilities
The intern will support the People Department by developing predictive models for workforce planning and analyzing compensation trends. They will also manage data pipelines and create visualizations to provide insights into organizational design and employee performance.
Internship Type
full time
Company Size
14717
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
It all starts here. 25 years ago, a dream took flight - shaping and forever changing the travel industry in Asia. The idea was simple: Make flying affordable for everyone. We made that dream happen. We started an airline in 2001. Today, we’ve evolved to become something much bigger. We’re now a world-class brand, a leading Asean airline, a digital travel and lifestyle platform; and we’re not stopping. If you’re passionate about connecting people and transforming lives, we want you onboard. When it comes to your career, your Allstar journey will be an adventure. Find your dream career destination with us.
About the Role


Job Description

Position Title: Intern, Rewards & OD Data Scientist

Department: PD (Rewards & Organisational Design)

Location: Kuala Lumpur - RedQ

We are looking for a driven and analytical Data Scientist Intern to join our People Department, Rewards and Organisational Design team. In this role, you will bridge the gap between people analytics and strategic HR decision-making. You will work closely with the team to analyze workforce data, model compensation trends, evaluate organisational structures, and leverage data science to enhance employee experience and performance across the airline.


Key Responsibilities

  • People Analytics & Workforce Modeling: Support the development of predictive models and dashboards for employee turnover, retention drivers, talent acquisition, and workforce planning.
  • Rewards & Compensation Analysis: Assist in benchmarking salary structures, analyzing market compensation data, and modeling the cost impact of merit increases, bonuses, and benefit programs.
  • Organisational Design Insights: Analyze organizational metrics (e.g., span of control, layer depth, workforce efficiency) to support restructurings and organizational effectiveness initiatives.
  • Data Cleansing & Pipeline Management: Aggregate, clean, and integrate data from various HR systems (such as Workday) to ensure data integrity for executive reporting.
  • Ad-Hoc Data Requests: Build automated reports, visualizations, and data stories using tools like Python, R, SQL, Tableau, or Google Looker Studio to present findings to HR business partners.


Requirements

  • Currently pursuing a Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, Mathematics, Human Resources, or a related quantitative field.
  • Strong proficiency in data manipulation and analysis using Python or R, alongside proficiency in SQL.
  • Familiarity with data visualization and dashboarding tools (e.g., Tableau, Power BI, or Looker Studio).
  • Solid foundation in statistical analysis, regression modeling, and exploratory data analysis.
  • Exceptional attention to detail with a high degree of discretion when handling confidential employee data.
  • Passion for HR tech, people analytics, and improving organizational performance.
  • High energy, adaptability, and an innovative mindset fitting the Allstar culture.
Key Skills
Data SciencePythonRSQLTableauPower BILooker StudioPeople AnalyticsWorkforce ModelingStatistical AnalysisRegression ModelingData VisualizationData CleansingCompensation AnalysisHR Tech
Categories
Data & AnalyticsHuman ResourcesTechnologyScience & Research