Grab

Senior Data Scientist (Analytics) - GFin

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Grab

Job sourced from Grab.
Jakarta, Indonesia Job Type Full-time The role at a glance Skills you need What we offer Life at Grab The role at a glance Get to Know the Team The GFin Analytics team serves as the intelligence engine driving data-informed decisions across our payments and financial services products. As part of the Payments Tech Family, we're instrumental in accelerating cashless payments across all Grab verticals. We're looking for analytically rigorous data analysts who have embraced AI as a force multiplier. If you excel at experimentation and behavioral analysis while leveraging LLMs to work smarter, and if you think in terms of scalable solutions rather than one-off analyses, we want to talk to you. Get to Know the Role We're looking for a Senior Data Scientist (Analytics) to lead critical analytical projects for the GFin Analytics team at Grab. Our mission centers on understanding user experiences at a granular level and collaborating with Business, Product, Design, and Engineering to deliver the right outcomes and features. You will directly report to the manager. You will be based onsite. The Critical Tasks You Will Perform Design, measure, and recommend A/B tests and multivariate experiments across the platform. These experiments evaluate layout optimization, UI/UX efficacy, contextualization, algorithm performance, and API effectiveness. Additionally, use LLMs to accelerate experiment design, automate statistical analysis, and create insight narratives. Extract insights from clickstream and transactional data to understand user behavior across consumers, driver partners, and merchants, translating patterns into relevant product metrics, using AI coding assistants to write and improve complex SQL queries. Create segmented customer and merchant views that allow business and product team to drive meaningful product iterations, building AI assisted segmentation frameworks that automatically identify emerging patterns and anomalies. Transform ambiguous business challenges into structured analytical frameworks and conduct deep dive analyses that yield clear insights, using LLMs to rapidly prototype analytical approaches and synthesize findings into compelling narratives. Balance analytical rigor with technical complexity and explainability while considering real world business constraints, leveraging AI to generate multiple solution approaches and evaluate trade offs efficiently. Collaborate with stakeholders to define key metrics, align on measurement strategies, and design robust experimentation approaches, using AI to draft documentation, create presentations, and automate routine reporting. Develop data-driven solutions, including reports, dashboards, models, and frameworks, that directly support stakeholder decision making. These solutions involve building AI-powered self-serve analytics tools that scale automatically and systematically. Read more Skills you need What Essential Skills You Will Need 4 years of
On-site•Full-time
17 Apr 2026
PythonDatabase (SQL / NoSQL)

Job Description

Senior Data Scientist (Analytics) - GFin

The role at a glance

Get to Know the Team

The GFin Analytics team serves as the intelligence engine driving data-informed decisions across our payments and financial services products. As part of the Payments Tech Family, we're instrumental in accelerating cashless payments across all Grab verticals.

We're looking for analytically rigorous data analysts who have embraced AI as a force multiplier. If you excel at experimentation and behavioral analysis while leveraging LLMs to work smarter, and if you think in terms of scalable solutions rather than one-off analyses, we want to talk to you.

Get to Know the Role

We're looking for a Senior Data Scientist (Analytics) to lead critical analytical projects for the GFin Analytics team at Grab. Our mission centers on understanding user experiences at a granular level and collaborating with Business, Product, Design, and Engineering to deliver the right outcomes and features. You will directly report to the manager. You will be based onsite.

The Critical Tasks You Will Perform

  • Design, measure, and recommend A/B tests and multivariate experiments across the platform. These experiments evaluate layout optimization, UI/UX efficacy, contextualization, algorithm performance, and API effectiveness. Additionally, use LLMs to accelerate experiment design, automate statistical analysis, and create insight narratives.
  • Extract insights from clickstream and transactional data to understand user behavior across consumers, driver partners, and merchants, translating patterns into relevant product metrics, using AI coding assistants to write and improve complex SQL queries.
  • Create segmented customer and merchant views that allow business and product team to drive meaningful product iterations, building AI assisted segmentation frameworks that automatically identify emerging patterns and anomalies.
  • Transform ambiguous business challenges into structured analytical frameworks and conduct deep dive analyses that yield clear insights, using LLMs to rapidly prototype analytical approaches and synthesize findings into compelling narratives.
  • Balance analytical rigor with technical complexity and explainability while considering real world business constraints, leveraging AI to generate multiple solution approaches and evaluate trade offs efficiently.
  • Collaborate with stakeholders to define key metrics, align on measurement strategies, and design robust experimentation approaches, using AI to draft documentation, create presentations, and automate routine reporting.
  • Develop data-driven solutions, including reports, dashboards, models, and frameworks, that directly support stakeholder decision making. These solutions involve building AI-powered self-serve analytics tools that scale automatically and systematically.
Read more Skills you need

What Essential Skills You Will Need

  • 4 years of experience in Analytics, Business Intelligence, or Data Science, in a Tech (FinTech or E-Commerce) company.
  • A minomum of Bachelor's Degree in Statistics, Analytics, Economics, Mathematics, Engineering, or related fields.
  • Experience in SQL (Presto, Hive) and visualization tools with solid Python or R programming skills, demonstrating daily use of AI and LLMs to create code faster than traditional methods.
  • Experience using AI tools to increase personal productivity with prompt engineering skills for code generation, analysis, and documentation, and AI coding assistants already integrated into your workflow.
  • Experience with apply AI solutions versus traditional approaches, can identify high ROI automation opportunities, and stays current with LLM and GenAI advancements through rapid experimentation.
Read more What we offer

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.

Read more Life at Grab

Life at Grab

We care about your well-being at Grab, here are some of the global benefits we offer:

  • We have your back with Term Life Insurance and comprehensive Medical Insurance.
  • With GrabFlex, create a benefits package that suits your needs and aspirations.
  • Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
  • We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
  • 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.

Read more

What’s it like to work at Grab?

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Meet the Data Analytics team

Our Data Analysts harness the power of analytical thinking and sprinkle data-driven insights across every area of Grab’s business. But we don’t just crunch data all day, we collaborate with teams across the company, and love tackling the tricky problems they bring our way.

Aside from being platform builders, we do tonnes of detective work to uncover key insights from our data. We’ll continue to experiment and improve the experience so that more users can benefit from our services across Grab.

“ ” Cheryl YeoSenior Analytics Manager, Financial Services

Want to leave your mark through data-driven product thinking? I know I do, and that’s what drives me to work all day every day! And, what’s even better is working with some of the most intellectual, driven, kind and authentic people I know who are my Grab friends forever!

“ ” Maanas Sunil PrabhakarAnalytics Manager (GrabFood, GrabMart, Supermarket, Supply Chain)

After months of planning and building, we developed our own central source of truth called Analytics Data Warehouse, where we offer sets of verified data to teams. Because of this, we can improve efficiency tremendously.

“ ” Denise TeoHead of People Analytics

The Application Process

What can you expect when you apply for a role at Grab? Here’s what our hiring process looks like.

Step 1: Apply.

We have a range of open roles from Marketing to Engineering and everything in between. Find the one that’s best for you and show us why you’re our next teammate.

Step 2: Getting to know you.

Next, you’ll have a video or phone interview with one of our recruiters to chat about you, the role, and your past work experiences.

Step 3: Testing, testing… 123.

Some roles might require assessments and/or a technical competency interview. For other roles, there might be an additional interview – speak with your recruiter for application details.

Step 4: Is it a culture match?

Finally, we’ll find out how we fit together, if your career vision aligns with our mission, how you embody the 4 H's, and your working style and personality.

Grab a spot in our talent community

Want to be the first to know about Grab opportunities? Keen to stay up-to-date with our latest revelations? Ready to learn more about life at Grab and our amazing teams?

Join our talent community and you’ll never miss a beat.

Join now

Required Skills

PythonDatabase (SQL / NoSQL)

Experience Level

Senior Level