Create and deploy predictive, prescriptive, and machine learning models to address supply chain challenges, including demand forecasting, inventory optimization, and overall planning.
Build LLM-Powered Agents: Design and develop agents that support flight commercial and supply workflows. Connect LLMs with business datasets, APIs and analytical tools through retrieval, tool calling and workflow orchestration.
Platform Development and Modernisation: Actively participate in the transformation of our existing data platform and pipelines, leveraging modern technologies such as Snowflake and Databricks to improve scalability, performance, and efficiency.
Anomaly & Risk Discovery: Develop advanced methods to detect anomalies, outliers and risk signals across tabular, time-series, text, image data, applying techniques such as supervised, unsupervised and self-supervised learning, time-series and tabular foundation models, and graph neural networks.
Architect end-to-end solution for business analytics product (dashboards or statistical model) from the acquiring of data, contextualizing data for business analytics and integrating of product with business process