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Senior Data Scientist at NMB bank Full-time Job

11 months ago   Computer & IT   Dar es salaam   1.6K views Reference: 1024
Job Details

Job Location :

Head Office, Hq

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


    NMB Bank Plc is committed to creating a diverse environment and is proud to be an equal opportunity employer.

    Only shortlisted candidates will be contacted

Job opening date : 02-May-2023

Job closing date : 16-May-2023

Company Description
NMB Bank Plc. (NMB) is a full service commercial bank incorporated in the United Republic of Tanzania. Through its 3 main business divisions: Retail, Wholesale, and Treasury, NMB provides a suite of financial services and products to retail customers, farmers, SMEs, Corporates, Institutions and the Government.
The bank has 226 branches, over 9,000 Agents (Wakala) and more than 700 ATMs across the country and is represented in all districts of Tanzania. NMB has over 4 million customers and employs over 3,400 staff. It is listed at the Dar Es Salaam Stock Exchange and its largest shareholders are the strategic partners Arise B.V with a 34.9% shareholding and the Government of Tanzania with a 31.8% shareholding.

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