Senior Data Scientist

Company Description

Life at Grab

At Grab, every Grabber is 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. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Job Description

Life at  Grab

At Grab, every Grabber is 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. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to know the Team

Grab Financial’s Lending business is focused on micro credit and loan products to drivers, and merchants of the Grab ecosystem. Over the last 4 years this business has matured into a significant profit lever for Grab.  The business brings together leading experts in Fintech Lending across teams and business verticals. Lending operations span currently 6 countries in SE Asia (SG, MY, VN, PH, ID, TH) with a regional and country team structure to look after respective responsibilities.

Get to know the Role

This role is based out of Bangalore with the Data Science team. Lending Data Science team operates out of Singapore as part of Grab Financial’s Engineering organization. As we grow the loan portfolios, there is a need to set up an new and extended Data Science team, at Grab’s Bangalore office.

We are incredibly excited about this opportunity. In this role as Data Scientist, Grab Financial, you are expected to be hands-on with machine learning modeling in Spark and Python. You should have had prior experience building such models in production environments and managing those production pipelines on a daily basis. You should be absolutely comfortable with production jobs, on-call, deep end coding and working with engineering teams to provide ML service backends. This role also requires good understanding of the domain of Lending and credit scoring or the ability to quickly ramp up on the domain aspects of the business.

The role will report to Manager Data Science who will be based out of Bangalore.

The Day-to-Day Activities

• Develop a deep behavioral understanding and intuition of our drivers, agents and merchants to build predictive models for credit risk, collections, SME analytics and other business and data science needs for Grab Financial Lending business.

• 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, esp. for Collections and SME risk analytics.

• Individual contributor role with 4-8 years of experience. Candidates will be aligned appropriately within the organization depending on experience and depth of knowledge.

• 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.

• Build and maintain visualization dashboards for model performance KPIs.

The Must-Haves

• Expert in building machine learning and predictive models in Python and Spark.

• SQL / Presto / Hive proficiency.

• Sound knowledge of machine learning concepts. Illustrative machine learning concepts/methods are: Bagging, Boosting, Regularisation, Online Learning, Recommendation Engines etc.

• Sound knowledge of statistical modelling methods. For e.g. CHAID CART, Regressions, SVD, PCA etc.

• Expert in feature creation on a variety of data types.

• Professional experience in building machine learning analytics model development

• Strong problem-solving mindset is critical for success in this role.

• Self-motivated, independent learner, and enjoy sharing knowledge with team members

• Understanding of the domain of Credit and Lending will be a big advantage

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

Additional Information

Our Commitment

We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.