Data Scientist

As the Data Scientist within the Data & Artificial Intelligence division, you will work on the strategic Development of machine learning technologies to transform business processes. Your focus will be on advancing the bank's capabilities in machine learning (mandatory SAS EG) along with python, Dataiku and Databricks overseeing the development and implementation of machine learning solutions tailored to enhance operational efficiency and customer engagement.

Accountabilities

• Drive the identification and evaluation of new business opportunities through the application of advanced machine learning techniques.
• Oversee the data analytics lifecycle, from data preprocessing and modelling to implementation and performance monitoring, ensuring adherence to technical and timeline
  
  

specifications.

• Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple decision systems, design experiments and test business hypothesis.
• Champion the integration of machine learning technologies (SAS mandatory as well as python intermediate) and methodologies into existing and future business operations.
• Facilitate the ongoing monitoring and maintenance of deployed solutions, ensuring they deliver consistent value and adapt to new business needs or data insights.
• Develop Innovative and effective approaches to solve business problems using analytics and communicate results and methodologies.
  
  

Skills

Bachelor’s degree in computer science, Engineering, Mathematics, Statistics, or related field; Additional Degree or certifications in the field related to data science/Analytics is preferred.

• Minimum of 5+ years in machine learning, data science, or a related field using SAS EG 8.3 or above, SAS Viya, python.
• Advanced proficiency in programming languages in SAS Base, EMiner,
• Advanced Hands-on Programming experience in Python.
• Hands on Experience of working on Dataiku Platform for production is required
• Azure Databricks and AWS knowledge is a plus
• Deep understanding of machine learning, statistical modelling, data mining, and artificial intelligence principles and techniques.
• Expertise in cloud technologies and architectures for machine learning Development, with hands-on experience in SAS, Azure data bricks as well as Dataiku.
• Strong analytical skills with the ability to solve complex problems and provide practical solutions that align with business strategies.
• SAS, Dataiku certifications would be added advantage.