Company Description
About Grab and Our Workplace
Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.
Job Description
Get to Know the Team
Grab's Fulfilment Team is a horizontal platform tech family with the goal of deepening fulfilment capabilities for all Grab businesses in a platform manner and providing them solutions which help connect our driver partners to Grab customers and create a reliable, cost efficient and faster transportation and logistics platform.
The Fulfilment Product Analytics Team advances product innovation with analytics and experimentation best practices. We ship multiple features and that means tuning models, evaluating changes and running experiments to drive better outcomes for our driver partners and millions of customers across South East Asia. We are looking for an passionate data scientist to join our growing team.
Get to Know the Role
You will apply a data-first approach to product and business thinking, unveil data-driven insights, design controlled experiments and be objective while evaluating results, all of this while working with stakeholders to evaluate new product and business ideas. You will contribute to helping Developers, Designers and Product Managers across the company with recommendations on how to learn from unexpected results, study underlying causes for them and iterate on the next set of products to build for our users.
You will report to Senior Analytics Manager, Fulfilment. This is a paid internship role and is based onsite in Petaling Jaya.
The Critical Tasks You Will Perform
- You will collaborate with stakeholders to identify requirements and outcomes.
- You will provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements
- You will define and align with stakeholders on main metrics, design and propose experimentation strategies.
- You will process and distill stakeholders requirements into concise insights through reports, presentations, and dashboards.
- You will develop data pipelines, customized data science models to solve identified problems.
- You will launch A/B tests, analyze experiment results and provide recommendations.
Qualifications
What Essential Skills You Will Need
- You will need to start the internship in August 2026 with a minimum duration of 3 months.
- You are majoring in Computer Science, Data Science, Data Analytics, Statistics, Mathematics, or a related field.
- Foundation in SQL, Python, R or other scripting/programming languages.
- You will need data visualization and storytelling skills. Experienced in creating dashboards using PowerBI or Tableau are advantageous.
- You will need statistical knowledge with hands-on experience running and analyzing controlled experiments.
- You will need to spotting patterns and trends in data, able to hypothesize problem statements and propose appropriate solutions
Additional Information
Life at Grab
We care about your well-being at Grab, here are some of the benefits we offer our Interns:
- Attractive Monthly Allowance!
- EPF (Employees Provident Fund) or SOCSO (Social Security Organization) where applicable.
- Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For At Grab
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.