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Grab Malaysia

  • 1,000 - 50,000 employees

Analytics Data Scientist Intern - Fulfilment null

Petaling Jaya

Opportunity Expired

Learn from Grab's Fulfilment Analytics team and apply a data-first approach to product and business thinking by joining as a Data Scientist Intern!

Opportunity details

Opportunity Type
Internship, Clerkship or Placement

Application dates

Minimum requirements

Accepting International Applications
No
Qualifications Accepted
I
Artificial Intelligence
Computer Science (all other)
Computer Systems and Networks
Cyber Security
Data Science
Programming & Software Engineering
Design & User Experience

Hiring criteria

Entry pathway

See details

Working rights

Malaysia

  • Malaysian Citizen
  • Malaysian Permanent Resident
  • Malaysian Student Visa
Read more

About Grab Malaysia

Grab Malaysia was initially a taxi-hailing service but now has evolved into a leading super app in Southeast Asia, offering a wide range of services including ride-sharing, food and package delivery, and online payments. It aims to drive economic empowerment and improve financial inclusion across the region through its diverse suite of services.

Your role

Get to know the team

Grab’s Fulfilment Team acts as a horizontal platform tech family to deepen fulfillment capabilities for all Grab businesses in a platform manner and provide them solutions that help connect our driver partners to Grab customers and create a highly 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 a large number of 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 a passionate to join our growing team.

Get to know the role

Grab is looking for passionate interns to join The Analytics team to provide critical insights and drive their fulfillment products forward. This requires working closely with various teams within Grab (Product, Engineering, Business, Operations, Marketing, and others), pushing boundaries, and thinking outside the box to drive breakthrough improvements. 

Your role is to learn from Grab's Fulfilment Analytics team and 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 & 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 their users.

The day-to-day activities

  • Learn as much as you can: Shadow their Senior Data Scientist (Analytics) to gain insights into their day-to-day and how Analytics drives the organization forward.
  • Product Analytics: Partner with the product, design, and engineering teams to derive insights, design experiments, and drive key product decisions.
  • Strategic & Business Analytics: Support strategic initiatives with data analytics and insights, including but not limited to deep dives into customer behavior, product efficacy, and other ad-hoc projects.

Your role, under the guidance of our Senior Data Scientists (Analytics), will be to

  • Collaborate with stakeholders to identify business requirements and outcomes.
  • Provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements
  • Define and align with stakeholders on key metrics, design and propose experimentation strategies.
  • Process and distill stakeholders' requirements into concise insights through reports, presentations, and dashboards.
  • Develop data pipelines, and customized data science models to solve identified problems.
  • Launch A/B tests, analyze experiment results, and provide recommendations.

Training & development

Join Grab Internship means you will get a perfect opportunity, which means an equal opportunity. You will be engaged in real projects guided by Grab's professional and skilled mentors. There will be a steep learning curve with a very fast-paced working rhythm where you will be able to learn new things every day. 

Benefits

In addition to the monthly allowance, interning at Grab will give you a lot of benefits. Here are some key points:

  • Flexibility: Grab emphasizes a work culture that allows for flexibility, giving you the time to balance work with personal life, family, friends, or hobbies.
  • Potential and Opportunity: The company focuses on unlocking your potential and matching it with opportunities to create impactful work.
  • Community Service: You can participate in “LASA day” (Love All Serve All), where you can volunteer and help local communities.
  • Learning and Growth: Grab is committed to fostering an environment of continuous learning and growth, encouraging interns to embrace new challenges.
  • Diverse and Inclusive Culture: With a global presence, Grab offers a chance to work in a diverse and inclusive environment, making connections that last a lifetime

Career progression

Although there is no clear statement regarding the career level you may achieve after you complete this internship program, it's common for top interns to be considered for future hiring. In addition, working experience at Grab will certainly have a big impact on your career journey. 

Work-life balance

This technology-based company is known for its flexibility so the work-life balance will never be a problem when you work here. The flexible working hours will require 9 hours a day, with a 1-hour break for lunch (8 working hours effectively). Additionally, to make the work more fun, you can also access the office facilities such as the playground (where you can play games and sports like badminton, tennis, and even scuba diving!), play music, and feast with friends.

Company culture

At Grab, the teams know how to mix work and play. They're big on team-building events, outings, and celebrating wins. Whether grabbing a coffee together, having virtual hangouts, or enjoying a casual chat, connection is at the core of their day-to-day life.

About you

This opportunity is only for students who must be able to commit for at least 3 months or up to 6 months for an internship. To apply for this role, you must have the qualifications below:

  • A good foundation in SQL, Python, R, or other scripting/programming languages to problem-solve.
  • Good foundation data visualization and storytelling skills. Experience in creating dashboards using PowerBI or Tableau will be a plus.
  • A keen eye for spotting patterns and trends in data, able to hypothesize problem statements and propose appropriate solutions.
  • Strong statistical knowledge. Hands-on experience running and analyzing controlled experiments will be a plus.
  • Strong work ownership and ability to deliver on tight timelines and move quickly with cross-functional teams to partner or lead decision-making while maintaining high attention to detail.
  • Self-starter, principled, and driven to do the right thing. 
  • Good communication and cross-functional collaboration experience.

How to apply

Please specify your internship durations on your resumes - failure to do so may affect your candidature.

Here’s what Grab's hiring process looks like:

  • Online application
  • Phone or video interview
  • Assessment/technical competency interview
  • Offering

Sources

We gather information on this page based on the sources below:

  • grab.careers
  • grab.careers/en/life-at-grab/its-all-life/
  • grab.careers/en/why-join/

Hiring criteria

You should have or be completing the following to apply for this opportunity.

Entry pathway
Degree or Certificate
Minimum Level of Study
Bachelor or higher
Study Field
I
Artificial Intelligence
Computer Science (all other)
Computer Systems and Networks
Cyber Security
Data Science
Design & User Experience

Work rights

The opportunity is available to applicants in any of the following categories.

country
eligibility

Malaysia

Malaysia

Malaysian Citizen

Malaysian Permanent Resident

Malaysian Student Visa