patterns. Presenting technical reports based on the collection, analysis, and interpretation of data. Key Performance patterns. Presenting technical reports based on the collection, analysis, and interpretation of data. Key Performance
the detail spectrum. Experience in Enterprise Collections, Client & Product risk management is a preference process mapping tools like Aris. Has worked on Collections & recoveries projects in banking industry
Description The Data Scientist is responsible for collecting, analyzing, and interpreting complex data sets strategies. Essential Duties and Responsibilities: Collect, process, and analyze large volumes of data from
the detail spectrum. Experience in Enterprise Collections, Client & Product risk management is a preference process mapping tools like Aris. Has worked on Collections & recoveries projects in banking industry
investigate large data related postpaid invoicing, collections, and user insights. The main aim of the role
ng>
including advanced concepts like packages, collections, and dynamic SQL.
operational support and ensure server availability. Collect business requirements and develop suitable BI solutions
ntract management