Standard Bank Data Science Learnership
Master Machine Learning, Azure ML, Python, and SQL while working on real-world enterprise projects that transform how we serve our customers across Africa.
Program Overview
About This Learnership
At Standard Bank, we're not just offering a learnership - we're investing in your future. Our Data Science learnership is designed to help you develop technical future-ready skills, experience, and qualifications needed to thrive in the Data ecosystem.
Dive into the world of large-scale enterprise transformational solutions powered by Machine Learning across multiple cloud platforms, Microsoft Azure ML, and Microsoft Power Platform AI. You'll work with industry-leading tools like SAS, SQL, and Python on real-world projects that challenge and inspire you.
Career Opportunity:
Many of our former learners have transitioned into full-time roles at Standard Bank after proving their capabilities during the learnership. Your hard work and dedication could be your ticket to a long-term career with us.
Technologies You'll Master
Microsoft Azure ML
Cloud-based machine learning platform for enterprise solutions
Python Programming
Advanced Python for data analysis and machine learning
SQL & Databases
Advanced database management and query optimization
SAS Analytics
Statistical analysis and advanced analytics platform
Power Platform AI
Microsoft Power Platform for AI-powered business solutions
Data Automation
Automated data processing and workflow optimization
24-Month Learning Journey
Foundation Phase (Months 1-6)
Build your foundation in data science fundamentals, programming basics, and statistical analysis.
- • Python programming fundamentals
- • SQL database management
- • Statistical analysis basics
- • Data visualization principles
- • Introduction to Azure ML
Intermediate Phase (Months 7-12)
Advance your skills in machine learning algorithms and start working on real business projects.
- • Machine learning algorithms
- • Advanced Azure ML features
- • Real-world project assignments
- • Data pipeline development
- • Model deployment basics
Advanced Phase (Months 13-18)
Lead enterprise-scale projects and develop specialized expertise in specific domains.
- • Enterprise solution development
- • Advanced analytics and automation
- • Cross-functional team collaboration
- • Model optimization and scaling
- • Business intelligence integration
Specialization Phase (Months 19-24)
Become a specialist in your chosen area and prepare for full-time data science roles.
- • Independent project leadership
- • Innovation and research projects
- • Mentoring junior team members
- • Strategic data science planning
- • Portfolio development and certification
Entry Requirements
Essential Requirements
- Grade 12 with Mathematics
- South African citizen
- Age between 18 and 30 years
- Strong analytical and problem-solving skills
- Computer literacy and programming aptitude
Preferred (Not Required)
- Exposure to programming languages (Python, R, SQL)
- Understanding of statistics or data analysis
- Interest in machine learning and AI
- Business or finance background
- Strong communication skills
Expert Mentorship & Support
You'll collaborate with industry-leading experts who are passionate about data analytics, automation, and data science. Our team members are here to mentor you, share their knowledge, and empower you with the skills needed for a successful Data Science career.
Dedicated Mentors
Industry experts assigned to guide your learning journey
Team Collaboration
Work alongside experienced data scientists and analysts
Continuous Support
Regular feedback, coaching sessions, and skill assessments
Ready to Shape the Future with Data?
Join Standard Bank's Data Science learnership and become part of the team that's revolutionizing financial services through artificial intelligence and machine learning.
Applications open periodically | Full-time career opportunities available after completion