Data Scientist, UAE

Job Description

Operating across all of Network’s geographies, the Advisory and Information Services function role is to bring value to Network’s Issuer/Acquirer processing clients, direct Acquiring merchants and Government entities through the development and distribution of innovative data, analytical and advisory services and solutions that helps the client grow their business.

The role of the Data Scientist, Advisory Services is delivery of contracted client engagements that would typically include analytics and modelling consulting services to card issuers, benchmarking reports, custom analytical engagements and across the analytical spectrum of descriptive, diagnostic and predictive and prescriptive analytics.

Responsibilities

• Support the delivery of a range of contracted consulting and analytical engagements, such as revenue optimization, authorization consulting, portfolio health-checks, real time data streaming, risk management capabilities, etc. for our processing clients, merchant, and government entities.
• Development and partnerships for key product capabilities using authorization, transactional, repayments and account demographic data, such as the next best action recommendation tool for processing clients.
• Leverage data lake to develop AI/ML based products that could add value to processing clients and generate revenue for NI as processor.
• Deliver top-class analytics consulting solutions to clients in line with the agreed deliverables/SOW’s. Manage deliveries across cost, quality, and time spectrums.
• Convert the analytical outputs into delivery reports or collateral with world-class storyboarding.
• Additionally, support the wider team Advisory and Information Services team as required with product development, pre-sales and sales support relating to analytical solutions, including client presentations, solution design, proposal development including costings and Letters of Engagement
  
  

Develop advanced predictive models across a range of outcomes (risk/Marketing etc.) using various techniques, to include, but not limited to Logistic/Linear regression, Decision Trees and Machine Learning techniques.

Qualifications

• Master's degree in any quantitative discipline or MBA. Candidates from Statistics or Operations Research background will be preferred.
• Previous work experience of 1-4 years in Analytics team (preferably in Payments/ retail banking industry), with strong business acumen and ability to translate data insights into meaningful business recommendations
• Strong drive and passion to work in a start-up kind of environment and deliver business impact in Payments through advance analytics
• Expertise in analytical tools such as SAS/R/SQL/ and Qlik/Tableau/Power-BI
• Working knowledge in analytical techniques such as Linear Regression, Logistic Regression, Cluster analysis, Market Basket analysis, etc. (good to have for the role)
• Excellent verbal and written presentation skills
  
  

Proven experience in delivering analytical solutions within mid to large size project teams, and working in on-shore & off-shore environment