Education

• First degree in any discipline preferably Software Engineering, Information Systems, Computer Science, Statistics or equivalent
  

• Master’s Degree in a relevant discipline will be an added advantage.
  

Experience:

• 3+ years of work experience in Software Development and Data Science related projects in large organization.
  

• Knowledge in cloud computing technologies
  

• Worked across diverse cultures and geographies advantageous.
  

• Detailed working experience of data governance and standards.
  

• Drive business engagement with leaders (include BI teams) to support and implement high-quality, data-driven decisions.
  

• Create a “Model Factory” for Data Science Models and Algorithms to ensure governance.
  

• Building automated data pipelines and advanced analytics solutions based on multiple data sources
  

• Identify useful data and extend advanced analytics use-case development/ deployment like end-to-end machine learning model, advanced analytics, big data visualizations to entire company
  

• Prepare long-term evolution plans for in-house data science and analytics projects development
  

• Innovate and advance on existing data infrastructure as business use cases continue to emerge
  

• Design and implementation of modern Data APIs for internal and external data access
  

• Development of Advanced analytics and Machine Learning models
  

• Building Credit Scoring models for Micro-lending internally and third-party consumption
  

• Divisional people leadership activities: coaching, staff development and motivation through intra staff coaching, employee networks mentorship/support, own division employee engagement projects, faculty roles, inter/intra talent mentorship, etc.