Senior Data Scientist at NMB Bank

Senior Data Scientist (1 Position(s))

Job Location :

Head Office, Hq

Job Purpose:

Data Science is a sub-unit under the Innovation Department in charge of leading the delivery of the Artificial Intelligence and Machine Learning strategy to ensure NMB can compete in a changing landscape where data science is a key future-oriented strategic differentiator.

The Data Scientist will use a combination of statistical analysis, machine learning, data visualization, and programming skills to extract valuable information from data. Design and implement predictive models or intelligent algorithms to better understand the drivers of business performance and enable improved management decision-making. 

Strategic Planning

• Implement data science techniques in analyzing and interpreting large volumes of data
  
• Drive the use of data for personalization, drive behavioral incentives, risk controls, and proactive fraud detection.
  
• Support utilization of advanced analytical methodologies and intelligent algorithms in all parts of the banking businesses and operations.
  
• Explore how data can be used towards building solutions that are innovative, creative and drive change.
  
  
  Data Modelling
  
• Implement modern deep learning frameworks (Tensorflow, PyTorch, MXNet, etc).
  
• Guide on machine learning algorithms that can find deep patterns and insights in large volumes of information
  
• Apply underlying theory, principles and application of machine learning models.
  
• Work with other stakeholders in ensuring a broad and wide audience on these underlying principles and theories.
  
• Implement data science processes like problem formulation, data collection, data preprocessing, exploratory data analysis, model selection and training, evaluation, deployment, interpretability, regular updates and maintenance.
  
• Implement algorithmic products leveraging core algorithmic data science, Machine Learning and Artificial Intelligence capabilities
  
• Develop internal models/processes, such as machine learning models, numerical optimization, statistical significance testing, ML -as-a-service API development and streamline event data processing.
  
• Adopt ethical Artificial Intelligence & Data science design principles that are morally right and socially responsible
  
  Data Platforms
  
• Recommend appropriate system solutions, modeling approaches, and associated risks for a variety of business problems.
  
• Implement advanced data platforms, such as Data Lake responsible for processing, analyzing and storing unstructured and semi-structured data
  
• Implement real-time analysis capabilities which will allow the bank to provide real time services and personalized user experience.
  
• Provide for data visualization tools that intricate data into coherent visual formats
  
• Research and explore open distributed architecture with the focus to decouple software from hardware, empowering processing capabilities for massive amounts of data and supporting linear data platforms expansions.
  
• Explore artificial intelligence platforms that provide infrastructure, tools, and algorithms to develop, train, and deploy machine learning models that can be used by data scientists, analysts, and developers.

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