Grab · Petaling Jaya, Malaysia, MY · about 1 month ago
At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.
The CAMATECH Martech Analytics team is part of Country & Marketing Analytics , partnering with Marketing, Growth, Country Business, Product, Engineering and other Data teams to define key metrics and deliver data-driven solutions for fast-evolving market needs. We focus on scaling Marketing AI (Comms Compass) and MarTech capabilities—across content generation, insights & reporting, content tagging, country pilots and self-serve access—so marketers can run smarter communications at scale. As a Data Scientist Intern in CAMATECH, you will contribute to analytical frameworks, dashboards and models that power Grab's marketing stack and make our AI-driven tools more useful for teams on the ground.
We are looking for a Data Analytics Intern to support marketing technology and AI-driven initiatives across analytics, reporting, and insight generation. In this role, you will work with cross-functional teams to analyze campaign performance, build automated reporting solutions, track adoption of new tools, and generate insights that improve marketing effectiveness and overall user engagement.
You will be onsite in our Petaling Jaya office.
We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
Headquarters
Petaling Jaya, Malaysia
Work Location
on-site
Job Category
Data Science / AI / Machine Learning
Application Deadline
Not specified
Job Type
internship
Experience Level
entry-level
Application Method
Apply via Website
Salary
Not specified
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