Data Scientist

Get to know the role As part of this role, you will: Develop an understanding of Payments architecture and its nuances across use cases and countries. Help build predictive models for payment method recommendations, downtime management, intelligent transaction retry, payments processor selection, and other such solutions, aiming to improve payments transactions and reduce failure rates. Use LLMs to power the next generation of payment experiences. Manage the end-to-end lifecycle of predictive models and AI agents, from development to deployment and optimization. Work with engineering, compliance & operation teams to create solutions and product changes informed by your findings and business inputs. Stay current with the latest AI/LLM research and new frameworks and incorporate them into practical applications.   The daily activities   Predictive Modelling: Build predictive models using machine learning to solve for classification, ranking and online learning. Engineer features from internal data assets to build refined transaction and customer profiles. Generative AI Development: Design and deploy Generative AI solutions using prompt engineering, agent orchestration, and model fine-tuning (e.g., LoRA, PEFT). Build evaluation datasets and define guardrails for ongoing evaluation and monitoring. MLOps & Automation: Build end-to-end MLOps pipelines to automate model training, deployment, and monitoring. Track production performance and implement feedback loops for continuous improvement. Ownership and Collaboration: Design AI solutions by working backwards from our needs. Lead the delivery of AI capabilities, from concept through production deployment. Read more   Get to know the role As part of this role, you will: Develop an understanding of Payments architecture and its nuances across use cases and countries. Help build predictive models for payment method recommendations, downtime management, intelligent transaction retry, payments processor selection, and other such solutions, aiming to improve payments transactions and reduce failure rates. Use LLMs to power the next generation of payment experiences. Manage the end-to-end lifecycle of predictive models and AI agents, from development to deployment and optimization. Work with engineering, compliance & operation teams to create solutions and product changes informed by your findings and business inputs. Stay current with the latest AI/LLM research and new frameworks and incorporate them into practical applications.   The daily activities   Predictive Modelling: Build predictive models using machine learning to solve for classification, ranking and online learning. Engineer features from internal data assets to build refined transaction and customer profiles. Generative AI Development: Design and deploy Generative AI solutions using prompt engineering, agent orchestration, and model fine-tuning (e.g., LoRA, PEFT). Build evaluation datasets and define guardrails for ongoing evaluati