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Data Science Learnership

Standard Bank Group · Johannesburg, GP, South Africa
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1d ago
location
Johannesburg, GP, South Africa
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Job Description

Standard Bank is the largest bank in Africa and our highly visible brand, award-winning service, and strong global presence helps us maintain our market-leading position. We place huge value on the talent of our people to drive our continued success, and to support our plans for growth.

Standard Bank’s Learnership Programmes are designed to address youth unemployment in South Africa by providing young people with structured, practical work experience alongside formal training, while also building a strong and sustainable talent pipeline of future-ready employees aligned to the bank’s values and business needs.

As part of this development pathway, the Occupational Certificate: Data Science Practitioner qualification serves as the foundational entry-level certification for aspiring internal auditors, combining focused training modules with structured workplace experience to equip candidates with the essential knowledge and practical skills needed to start or enhance their careers in internal auditing.

By the end of the programme, you will have gained exposure to and developed skills in:

  • Supporting senior team members in defining small, well-scoped data analysis tasks aligned to audit objectives
  • Executing predefined analytical procedures to test specific aspects of audit areas using data (e.g., identifying anomalies and validating controls through datasets)
  • Identifying and highlighting key findings, including control gaps, inefficiencies, and opportunities for cost reduction or improved performance
  • Developing and communicating simple, evidence-based recommendations grounded in data analysis
  • Organising and maintaining datasets, code, and visual outputs in a structured and reproducible manner to support audit findings
  • Ensuring adherence to all group standards, policies, and data governance requirements
  • Effectively prioritising tasks and managing time to meet deliverables and deadlines

Qualifications

An undergraduate qualification in one of the following (or a related discipline):

  • Information Technology or Computer Science
  • Data Science
  • Statistics or Mathematics
  • Econometrics / Quantitative Analysis
  • Engineering

Additional Information

MINIMUM REQUIREMENTS

  • Must be a South African citizen.
  • Must be under 30 years of age.
  • Must be able to speak, read and write English
  • Not be registered on any other learnership or internship programme
  • Not be studying at any other institution

KEY SKILLS AND ATTRIBUTES

  • Strong analytical thinking and problem-solving ability
  • Interest in technology, data and financial decision-making
  • Ability to work collaboratively in cross functional teams
  • Curiosity and willingness to learn new concepts and tools
  • Good attention to detail and structured, logical thinking
  • Resilience and adaptability in a fast-changing environment
  • Professional confidence, accountability and a proactive mindset
  • Foundational business and commercial awareness

Additional Notes
 

Start Date:1 October 2026
Duration:24 Months

Type of Employment: Contract
Learner Stipend: R15 000 per month plus Student Medical Aid

Qualification at end of programme: Occupational Certificate: Data Science Practitioner

Location: 5 Simmonds Street, Johannesburg and/or 30 Baker Street, Rosebank

Company Description

Standard Bank Group is a leading Africa-focused financial services group, and an innovative player on the global stage, that offers a variety of career-enhancing opportunities – plus the chance to work alongside some of the sector’s most talented, motivated professionals. Our clients range from individuals, to businesses of all sizes, high net worth families and large multinational corporates and institutions. We’re passionate about creating growth in Africa. Bringing true, meaningful value to our clients and the communities we serve and creating a real sense of purpose for you.

Apply at Standard Bank Group →