About this role
Join Grab's global Data Science team supporting the Financial Technology offerings specifically the Lending services.
You will report to a Senior Manager in the Data Science team and would work onsite based in Bangalore.
The Critical Tasks You Will Perform
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 the best data analytics and machine learning methodologies.Work backwards to conceptualise and design analytic model frameworks to solve business problems.Build dashboards for model key performance Indicators. Qualifications
Mandatory Requirements:
A total of 2 to 4 years of experience building machine learning and predictive models in Python and SparkProficiency in SQL, Presto, and Hive.Sound knowledge of Illustrative machine learning concepts such as Bagging, Boosting, Regularisation, Online Learning, Recommendation EnginesExpertise in feature creation on a variety of data types.Demonstrated experience building machine learning models
Desirable Requirements:
Experience with LLMs, and Generative AIUnderstanding of the trade-offs between model performance and business requirements. 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 leaveWe have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.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.