Summary
Date Posted: Monday, May 01, 2023 , Base Salary: Not Disclosed

JOB DETAILS:
Job Purpose:
The individual will support relevant stakeholders through analytics, and the application of appropriate advanced analytics for the business’ key initiatives.

Main Responsibilities:
• Mine, analyze large amounts of data, find hidden patterns and forecasting trends using data and provide reports with recommendations
• Implement advanced analytics use case scenarios for the bank
• Build predictive models and machine-learning algorithms to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Researching on Machine Learning Algorithms
• Testing Machine Learning systems
• Training and retraining ML systems
• Using Data Science techniques/tools to improve processes
• Aggregate data from disparate sources both structured and unstructured
• Translate analytic insights into concrete, actionable recommendations for business or product improvement.
• Identify new opportunities to apply machine learning to business processes to improve their efficiency and effectiveness;
• Design and implement reporting dashboards that can track key business metrics and provide actionable insights;
• Process, cleanse, and validate the integrity of data to be used for analysis
• Automation data collection and management process
• Work closely with business to identify issues and use data to propose solutions for effective decision making
• Design and implement big data strategy for the bank
• Innovate by researching, learning, and adapting new modeling techniques and procedures to existing business problems.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions

Knowledge and Skills:
• BI & Data warehouse; ML Techniques; Big data platforms
• Strong mathematical & numeracy skills
• Understanding of reporting & data visualizations tools
• Understanding of ETL framework and ETL tools
• Excellent analytical, creative and problem-solving skills.
• Excellent verbal and written communication skills with the ability to interact effectively with people at all levels.
• Ability to work effectively within a team.
• Ability to priorities, meet deadlines and work under pressure.
• Ability to work independently with minimal supervision
• Data oriented personality

Qualifications and Experience:
• BSc in Computer Science, Data science, Mathematics or relevant field.
• Strong coding skills, such as R, Python or Scala
• Proven work experience as a Data Scientist
• Experience with big data platforms and tools including Hadoop, Pig, Hive, Spark and MapReduce
• Experience with programing languages including SQL, Python, Scala and Perl; and R.
• Experience with SQL and NoSQL databases
• Experience in data mining & machine learning algorithms and their implementations
• Experience with manipulating large data set
• Experience in financial services especially in Banking is a bonus



Job Experience: No Requirements

Work Hours: 8

Level of Education: Bachelor Degree

Job application procedure

Interested applicants click here to apply.


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