Grab

superapp

Intern-DataScientist(Analytics)

Petaling Jaya, Selangor, Malaysia INTERNSHIP
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for internship candidates.

The Brief

“Intern - Data Scientist (Analytics) at Grab. Skills: Data Science, Analytics, SQL, Python. Collaborate with stakeholders. Identify business requirements”

What You'll Achieve.

Drive Southeast Asia forward; Economically empower everyone

Industry & Context.

superapp
Problems you'll solve

Unveil data-driven insights; Design controlled experiments; Evaluate results objectively; Learn from unexpected results; Study underlying causes; Iterate on products

Eligibility Requirements

Available to start in August 2026, On-site in Petaling Jaya office

What They're Looking For.

Must Have

Foundation in SQL, Foundation in Python, Foundation in R, Foundation in other scripting/programming languages, statistical knowledge, hands-on experience running controlled experiments, hands-on experience analyzing controlled experiments

Nice to Have

Data visualization skills, Storytelling skills, Experience creating dashboards using PowerBI, Experience creating dashboards using Tableau, Keen eye for spotting patterns, Keen eye for spotting trends in data, Able to hypothesize problem statements, Able to propose appropriate solutions

What You'll Do.

Collaborate with stakeholders

Identify business requirements

Identify business outcomes

Provide catered analysis

Define critical business metrics

Track business metrics rigorously

Provide regular recommendations

Achieve continuous improvements

Design experimentation strategies

Propose experimentation strategies

Process stakeholder requirements

Distill stakeholder requirements

Develop data pipelines

Develop data science models

Solve identified problems

Analyze experiment results

Provide recommendations

How You'll Work.

Team & Collaboration

Collaborate with stakeholders; Work with stakeholders; Work with Developers; Work with Designers; Work with Product Managers

Communication Scope

Data visualization; Storytelling

Full Job 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. 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 and innovative 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. This role is based on-site in our Petaling Jaya office. ## Qualifications The Critical Tasks You Will Perform * You will collaborate with stakeholders to identify business 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 key 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. What Essential Skills You Will Need * Only for candidates who are available to start in August 2026. * Your studies as an Undergraduate in Computer Science, Data Science, Data Analyt

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