Job Description & Scope
Job description Get to Know Our Team The Grab Integrity team is dedicated to protecting the Grab platform from multiple types of fraud and safety incidents. Our team uses rich datasets ranging from payment risk prediction using sequence-based models to detecting money laundering with graph algorithms and ensuring platform safety. We research new methods to stay ahead of latest fraud tactics, contributing to the creation of thoughtful and secure products. Get to Know the Role: Youll fight fraud by analysing transactional data, developing and deploying machine learning models, and collaborating with teams to ensure seamless integration of fraud detection systems. Youll help keep our platform safe and trustworthy. Reporting to the Data Science Manager II, this will be a Full-time role in Bangalore The Critical Tasks You Will Perform: Collaborate with your team to understand and convert operational issues into data science problems, aligning efforts with our strategic goals. Stay updated with the latest research and advancements in the field, incorporating the latest models and techniques to address new fraud tactics. Handle data preparation and augmentation, using multiple data types to create comprehensive datasets for model training. Train and improve machine learning models, ensuring accuracy and efficiency in fraud detection through careful selection and tuning of algorithms. Types of algorithms the team work on include Graph Neural Networks, Transformer/ Sequence models, finetuned LLMs, Boosted Trees Deploy models into production, managing their performance, and working with data scientists, software engineers, and product managers to ensure seamless integration and ongoing improvements. Read more Skills you need The Essential Skills You Will Need: Degree in computer science, physics, statistics, or a related quantitative field. Proficiency in Python, SQL, and programming skills, with familiarity with numeric libraries, containers, and modular software design 2 or more years of experience of standard machine learning libraries such as TensorFlow, PyTorch, XGBoost, LightGBM, and Scikit-learn Understand and some experience using traditional ML techniques like Boosted Trees, and deep neural network architectures, like CNNs, RNNs, Transformers Role: Data Scientist Industry Type: IT Services & Consulting Department: Data Science & Analytics Employment Type: Full Time, Permanent Role Category: Data Science & Machine Learning Education UG: Any Graduate PG: Any Postgraduate Key Skills Computer scienceSoftware designdata scienceNeural networksMachine learningMedical insuranceOperationsFraud detectionSQLPython
