This job description outlines an exciting opportunity to begin a career in data science and engineering at Nedbank, emphasizing skills development, real-world experience, and transformative contributions to data-driven projects. Here’s a breakdown of the key elements for prospective applicants:

Job Purpose

• Immerse yourself in a cutting-edge data environment.
• Gain hands-on experience in data science and engineering.
• Contribute to transformative, data-driven initiatives that enhance operational efficiencies.

Key Responsibilities

1. Data Optimization:
   • Leverage data science techniques to streamline operations, reduce costs, and eliminate inefficiencies.
   • Meet targets, deadlines, and performance standards using data-driven approaches.
2. Excellence in Service Delivery:
   • Provide top-tier data-driven services to clients.
   • Maintain consistent productivity and quality through data-informed monitoring.
3. Transformation & Strategy:
   • Support Nedbank’s strategic goals, including green and socially responsible initiatives, with data-informed solutions.
4. Advanced Data Modelling & Governance:
   • Implement and monitor best practices for data modelling and AI governance.
   • Ensure compliance with data privacy and security regulations.
5. Process Improvement:
   • Propose and implement data-backed process enhancements.
   • Collaborate with internal teams for seamless operations.
6. Career Development & Learning:
   • Stay updated on industry trends.
   • Participate in relevant training, certifications, and career progression activities.

Qualifications and Skills

• Essential: Advanced Diploma or National First Degree.
• Preferred: Degree/Diploma in a relevant field.
• Experience: 0 to 12 months in IT-related roles.

Type of Exposure

• Relationship management.
• Self-management and career ownership.
• Administrative and operational support.

Why Join Nedbank?

• Be part of a forward-thinking organization with a vision for data-driven transformation.
• Work in an environment that values innovation, collaboration, and continuous learning.
• Gain hands-on experience while contributing to meaningful, impactful projects.

This is a great opportunity for recent graduates or professionals with minimal experience who are eager to launch their careers in data science and engineering.