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Based in the Group Customer Analytics & Decisioning team, you will be responsible for building Smart Process use cases that involves both Robotic Process Automation (RPA) and Intelligent Process Automation (IPA). These will support automation needs around topics such as Legal, Risk and Compliance Units
Conduct requirement analysis, design, develop and implement advanced data-driven approaches including NLP, OCR, text mining, etc
Work with very large data sets (both structured and unstructured) and improve the quality of data analysis
Identify, design, and implement internal process improvements: automating manual processes by developing optimal user interface and pre-product prototype solutions
Stay abreast of the new developments in Artificial Intelligence (AI)/Machine Learning (ML). Contribute to the research strategy and technical culture of the team
Minimum 5 years of working experience in AI, ML, NLP or a related field
Strong hands-on skills in OCR and text mining process/algorithms using Python
Knowledge in building GUI functions using Plotly Dash or related tools
Experience in applying machine learning techniques and designing algorithms that are scalable and production-grade
Exposure in end to end automation - building scripts, handling and automated job scheduling
Understanding of traditional structured data warehouse environments such as Teradata / Oracle
Understanding of banking with exposure to Legal and Regulatory Compliance is preferred
Energetic personality with an innovative, self-starting spirit. Someone that likes to ask "why?"