Standard Bank Data Science Learnership Programme 2026: R15,000 Monthly Stipend
Data is becoming one of the most important tools in modern banking. Financial institutions use analytics to identify unusual transactions, evaluate risk, test internal controls and uncover opportunities to improve business performance. For graduates with backgrounds in technology, mathematics, statistics or engineering, this shift is creating career opportunities that combine technical data skills with financial decision-making.
Standard Bank is inviting young South African graduates to apply for its Data Science Practitioner Learnership Programme 2026. The 24-month programme combines formal training with structured workplace experience and offers a learner stipend of R15,000 per month plus student medical aid. Applicants must hold an undergraduate qualification in a relevant quantitative or technology-related field and be under 30 years old.
About the Standard Bank Data Science Learnership Programme 2026: R15,000 Monthly Stipend
Standard Bank’s Learnership Programmes are designed to address youth unemployment by giving young South Africans structured workplace experience alongside formal learning.
The programmes also form part of the bank’s strategy to develop a pipeline of young professionals with skills aligned to the changing requirements of the financial services industry.
For this programme, successful candidates will work towards the:
Occupational Certificate: Data Science Practitioner
The learning experience will combine technical development with practical exposure to data analysis within an internal audit environment.
Programme Overview
- Programme:Â Standard Bank Data Science Practitioner Learnership Programme 2026
- Qualification:Â Occupational Certificate: Data Science Practitioner
- Duration:Â 24 Months
- Start Date:Â 1 October 2026
- Employment Type:Â Contract
- Stipend:Â R15,000 per month
- Additional Benefit:Â Student Medical Aid
- Industry:Â Banking & Financial Services
Who Can Apply?
Applicants should have an undergraduate qualification in one of the following fields:
- Information Technology
- Computer Science
- Data Science
- Statistics
- Mathematics
- Econometrics
- Quantitative Analysis
- Engineering
Candidates with qualifications in closely related disciplines may also be considered.
Minimum Requirements
Applicants must:
- Be South African citizens
- Be under 30 years old
- Be able to speak, read and write English
- Not be registered for another learnership
- Not be participating in another internship
- Not currently be studying at another institution
Candidates should check all eligibility requirements carefully before submitting an application.
R15,000 Monthly Learner Stipend
Successful candidates will receive a:
R15,000 per month learner stipend
The programme runs for 24 months.
Participants will also receive:
Student Medical Aid
This makes the opportunity particularly attractive for graduates looking for substantial structured workplace experience while continuing their professional development.
What You’ll Learn
The programme combines data science with internal audit, giving learners an opportunity to understand how data can be used to evaluate business processes and controls.
Successful candidates will develop experience across several areas.
Data Analysis for Audit
Learners will support senior team members in defining smaller, clearly scoped data-analysis tasks aligned with audit objectives.
This could involve understanding:
- What needs to be tested
- Which data is required
- How the analysis supports an audit
- How findings should be interpreted
Identifying Anomalies in Data
Participants will execute predefined analytical procedures against datasets.
These analyses can help identify:
- Anomalies
- Unusual patterns
- Potential control weaknesses
- Process inefficiencies
This provides an opportunity to apply quantitative and technical skills to real business problems.
Testing Internal Controls
Data can help internal audit teams determine whether business controls are operating as expected.
Learners will gain exposure to using datasets to support the validation and testing of specific audit areas.
This creates an interesting intersection between:
Data Science + Technology + Banking + Internal Audit
Developing Evidence-Based Recommendations
Successful candidates won’t only analyse information.
They’ll also learn how to translate findings into practical recommendations.
This includes:
- Identifying key findings
- Highlighting control gaps
- Recognising inefficiencies
- Identifying potential cost reductions
- Identifying opportunities to improve performance
- Communicating recommendations based on evidence
Being able to explain what data means to a business is an important skill for any data professional.
Working with Data, Code & Visualisations
Learners will assist with organising and maintaining:
- Datasets
- Analytical code
- Visual outputs
- Supporting evidence
Work must be maintained in a structured and reproducible manner so that analysis can support audit findings.
Data Governance & Compliance
Participants will also be expected to work according to Standard Bank’s:
- Group standards
- Internal policies
- Data governance requirements
- Professional procedures
Data governance is particularly important within banking because financial institutions work with large volumes of sensitive and regulated information.
Skills Standard Bank Is Looking For
Successful applicants should demonstrate:
- Strong analytical thinking
- Problem-solving ability
- Attention to detail
- Logical and structured thinking
- Interest in technology
- Interest in data
- Interest in financial decision-making
- Curiosity
- Willingness to learn
Professional Attributes
Standard Bank is also looking for candidates who can demonstrate:
- Collaboration
- Resilience
- Adaptability
- Professional confidence
- Accountability
- Proactive thinking
- Business awareness
- Commercial awareness
Learners will work in cross-functional environments, making communication and teamwork particularly important.
Time Management
Successful candidates will be expected to:
- Prioritise tasks
- Manage their workload
- Meet deadlines
- Deliver work according to agreed requirements
These professional skills will become increasingly important as learners take on more responsibility during the 24-month programme.
Why This Programme Stands Out
This isn’t simply a general banking learnership.
It combines several increasingly valuable disciplines:
- Data Science
- Data Analytics
- Internal Audit
- Technology
- Financial Services
- Risk and Controls
- Data Governance
That multidisciplinary exposure could provide a strong foundation for several different career paths.
Career Opportunities After Completion
The skills developed could support future careers such as:
- Junior Data Analyst
- Data Science Practitioner
- Audit Data Analyst
- Internal Audit Analyst
- Risk Analyst
- Business Intelligence Analyst
- Junior Data Scientist
- Quantitative Analyst
- Technology Risk Analyst
Further qualifications and experience may be required for some specialised positions.
Thabang Maimela’s Tip
Don’t assume this programme is only for Data Science graduates. Standard Bank explicitly includes Engineering, Computer Science, IT, Statistics, Mathematics, Econometrics and Quantitative Analysis. If your degree involved Python, SQL, Excel, MATLAB, R, Power BI, statistical modelling or large datasets, make those skills immediately visible on your CV. Also include relevant university projects and explain what problem you analysed, what tools you used and what you discovered.
Who Should Consider Applying?
This programme could be an excellent match if you:
- Are a young South African graduate
- Are under 30
- Enjoy working with numbers and data
- Have strong analytical abilities
- Are interested in technology
- Want exposure to banking
- Enjoy solving complex problems
- Want to understand how data influences business decisions
- Are available for the full 24-month programme
Applicants must also be available to start on 1 October 2026.
How to Apply
Interested candidates should submit their applications through the official Standard Bank recruitment platform for the Data Science Practitioner Learnership Programme.
Before applying, prepare:
- Updated CV
- South African ID
- Degree or qualification certificate
- Complete academic transcript
- Relevant technical or professional certificates
- Any additional supporting documents requested
Your CV should clearly highlight relevant data, programming, statistical, analytical and quantitative skills. Apply Now.
Start Your Data Career with Standard Bank
The Standard Bank Data Science Practitioner Learnership Programme 2026 offers young graduates an opportunity to combine formal learning with 24 months of practical experience within Africa’s banking industry.
With a R15,000 monthly stipend, student medical aid and exposure to data analysis, internal auditing, controls and financial decision-making, the programme presents a strong opportunity for graduates in IT, Computer Science, Data Science, Mathematics, Statistics, Econometrics, Quantitative Analysis and Engineering.
For graduates looking to turn their quantitative qualification into practical data experience, this is an opportunity worth considering.
Closing Date: Not Specified
Disclaimer
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I am Thabang Maimela, Founder and Editor of CareersPursuit and YouthSETA, two South African platforms dedicated to helping individuals access employment opportunities, skills development programmes, and career growth resources. Through CareersPursuit, I focus on jobs, internships, apprenticeships, graduate programmes, learnerships, and career advice, while YouthSETA specialises in SETA learnerships, skills programmes, youth development initiatives, and workplace readiness resources. My mission is to make reliable, up to date information more accessible, helping South Africans build skills, improve employability, and navigate their career journeys with confidence. Read more about the author on the About Us page.