Data Scientist Opening at Grab in Bengaluru

About Grab and our workplace

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

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—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we’re more than a service provider; we’re agents of positive change.

Get to know our Team:

GrabFin is an aggregate of FinTech businesses spread across 6 countries in S.E. Asia, in the Lending, Payments and Insurance domains. Our engineering teams are stationed in Bangalore, Singapore as well in countries like Indonesia and Vietnam. We are incredibly excited about the opportunity to provide innovative financial services to all participants of the Grab Ecosystem be it our Drivers, Consumers or Merchants. Our products are built on fundamental market insights combined with data science and engineering to bring the best product market fit across the cross section of our user base. This deep understanding of our ecosystem combined with world class engineering execution continues to create tremendous value for our customers.

GrabFin’s data science team is stationed across Bangalore and Singapore. We aim to hire a Data Scientist to join our Bangalore office to augment the existing Bangalore team. The data scientist will work in a relatively flat team structure with an independent mandate to build and manage critical data science models on a day to day basis. The candidate can expect to solve hard technical problems and grow into an expert on both batch and real time Data Science use cases. The right candidate will have passion for technology and data science along with being a natural problem solver. This role is based out of Grab’s Bangalore office.

The Role:

• Develop a deep behavioral understanding and intuition of our drivers, consumers and merchants to build predictive models for credit risk, customer management, collections, purchase propensity, fraud, identity and many other business needs within Grab Financial.
• Manage and own the entire end-to-end lifecycle of building and validating predictive models along with their deployment and maintenance.
• Interface with business, risk & operation teams to formulate solutions & product changes informed by your findings and business inputs/reality.
• Work independently or in a team to solve complex problem statements.
• Individual contributor role with 1-2 years of experience expected.
• Candidates without corporate experience can be considered if there is clear demonstrated expertise in Data Science eg. Kaggle high rankers, Academic publications, Masters / PhD in related topics.

The day-to-day activities: 

• Build predictive models using a mix of machine learning and traditional analytics methods.
• Validate models on new datasets, based on in-market performance.
• Engineer predictive features from internal data assets to build refined customer profiles. Identify external data assets to bring into the model mix.
• Solve previously unsolved analytics problems using best in class data analytics and machine learning methodologies.
• Work backwards to conceptualize and design analytic model frameworks to solve business problems.
• Build and maintain dashboards for model performance KPIs.

The Must Haves:

• Expert in building machine learning and predictive models in Python and Spark is an absolute must.
• SQL, Presto, Hive proficiency.
• Sound knowledge of machine learning concepts. Illustrative machine learning concepts/methods are: Bagging, Boosting, Regularisation, Online Learning, Recommendation Engines etc.
• Experience on LLMs, and Generative AI is a plus
• Expert in feature creation on a variety of data types.
• Demonstrated experience in building machine learning models
• Understands the trade-offs between model performance and business needs.
• Strong problem-solving mindset is critical for success in this role.
• Self-motivated, independent learner, team player

Benefits at Grab:

We care deeply about your well-being and are committed to supporting you every step of the way. Here are some of the global benefits we offer:

• Protect and provide for your loved ones with peace of mind, knowing we have your back with Term Life Insurance and comprehensive Medical Insurance.
• Craft a benefits package that suits your unique needs and aspirations with GrabFlex, because we believe in empowering you to thrive.
• Embrace the magic of new life and create lasting memories with your family through Maternity and Paternity Leave.
• Life can be overwhelming, but you’re never alone. Our confidential Grabber Assistance Programme is here to guide and uplift you and your loved ones through life’s challenges.
• Your well-being is our priority. Benefit from our holistic well-being initiatives through Wellbeing@Grab, including health programmes, informative webinars, and vibrant carnivals.
• Achieve a harmonious work-life balance with our FlexWork arrangements, allowing you to adapt and thrive in your personal and professional life.

We’ve got many different benefits hyper localised in each country. Speak to your recruiter during your interview to find out more.

What we stand for at Grab:

We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique. If you require accommodations to fully participate in the recruitment process, you are encouraged to include your request(s) when applying.

We deliver the greatest impact and ideas when we bring together diverse perspectives. It is what enables us to spread opportunities to Grabbers and our partners. It’s not a box-ticking exercise; it’s who we are.