Specialist- Data Scientist

Company Description

FAB, the UAEs largest bank and one of the worlds most secure financial institutions, is dedicated to creating value for its employees, customers, shareholders, and communities. Through innovation, agility, and differentiation, FAB is committed to fostering growth.

We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry. 

Job Description

Core Responsibilities:

• Work closely with business segments within PBG so that they can leverage the power of analytics capabilities and turn analytic insights recommendations to support acquisition, cross-sell, up-sell, retention and win back
• Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, Designs experiments, and test business hypotheses.
• Identify what data is available and relevant in the bank for analytics opportunities, including internal and external data sources, leveraging new data collection processes such as geo-location data, unstructured data sources such emails, log files, social media etc.
• Develop innovative and effective approaches to solve business problems using Analytics and communicate results and methodologies.
• Utilize patterns and variations in the volume, speed and other characteristics of data supporting the initiative, the type of data (e.g. Images, text, clickstream or metering data) in predictive analysis.
  
  

• Bachelors degree in Statistics, Computer Sciences, Maths, Operations Research or other related fields.
• Additional degree or certifications in the field related to the data science/Analytics is preferred.
  
  

• Minimum 2 years of experience in a large Analytics or BI function in a financial services organization with relevant quantitative and qualitative research and analytics experience
• Experience and an understanding of a wide variety of analytical processes.
  
  

• SAS (Base SAS,EMiner ,EG)
• Python
• Databricks and Dataiku platform knowledge is a plus
• Statistical modelling, Machine Learning and AI(Pattern recognition, Natural language processing)
• Data Visualization (Power BI)
• Deep learning frameworks (Tensorflow/pytorch/Maxnet)