Standard Bank Internship Programme 2022

Location: Johannesburg

The Standard Bank Graduate programme has had a long standing reputation for providing accelerated development opportunities and structured workplace support that propels young graduate professional’s aspirations.

  • The Data, Analytics & Actuarial graduate development programme aims to equip young & talented Africans with skills required in meeting current & future skill demands of the world of work given the proliferation of changes within the technology space and insurance landscape within South Africa.
  • This program serves as a tool to strengthen talent pipeline within core, critical & scarce skills priority areas
  • The Programme is designed to help the youth embark on their professional careers and develop skills & knowledge which will help them fly and Soar on high, & ultimately lend on their NEXT.
  • The purpose of the programme is to have a competitive advantage to attract, develop, retain, reward & lead young talent.
  • To manage young talent through integrated talent management to meet micro-economic drivers such a loss of skills to external organisations.
  • To develop young talent in their field of study and create continuous supply of technology related skills to the Group

Apply For the Standard Internship Programme

Key Responsibilities/Accountabilities
Analytics & Visualization

  • Create insights for business
  • Adding narratives to data, visualise and tell stories (Power-BI, QlikView, Tableau, etc)
  • Providing an ease of accessibility of the ecosystem of data through self-service dashboards and dynamic data visualization for internal and potential 3rd party consumption and inform monetization opportunities (Strategic & Operational Reporting)
  • Influence the decisions that business makes

Innovation (Data Science & Actuarial)

ML/AI
Developing new ways of creating revenue
Value creation
Optimizing Client service experience
Leading the design and implementation of data driven cloud computing solutions to deliver innovative and cost-effective solutions
Information Management

Data Governance and Management

  • Data Culture
  • Data Quality Management
  • Data/Information Lifecycle
  • Management
  • Sustainable Data sourcing
  • Data Engineering

Build APIs, ETL Processes
IT Execution
Preferred Qualification and Experience
Honours Degree: BSc or BCom in:

Data Science
Applied Mathematics
Statistics
Engineering
Actuarial Science
Computer Science
Business Mathematics and Informatics
Duration: 12 months (Graduate Contract)
Citizenship: South African
Work Experience: 0-2 years

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