Application Deadline: Unspecified
Dive into real-world business environments, where you’ll not only gather invaluable experience but also revolutionize the way divisions function. Be a driving force in transformative projects and initiatives, shaping the future of data-driven organisation.
Job Responsibilities
- Utilize data science and engineering skills to optimize operations through data-driven decision-making, with a keen focus on cost reduction and eliminating non-value-added work and waste. Leverage these skills to meet targets, deadlines, and standards as defined in agreements with management, ensuring efficient execution.
- Strive for excellence in data-driven service delivery to both internal and external clients, understanding and implementing world-class practices. Uphold consistent quality and productivity standards through meticulous data-driven monitoring and follow-through, drawing on data science and engineering expertise.
- Actively contribute to a culture of transformation, participating in Nedbank’s data-centric initiatives. Support business strategy, including social responsibility and green initiatives, through data-informed approaches, leveraging data science and engineering capabilities.
- Implement advanced data modelling techniques to extract meaningful insights from complex datasets.
- Ensure robust data and AI governance by implementing best practices and compliance measures, safeguarding the integrity, privacy, and security of sensitive information. Provide regular feedback and updates to team leaders/supervisors on assigned tasks and duties, ensuring effective workload management. Embrace the Nedbank vision and exhibit the associated values through data-informed interactions with the team and stakeholders, incorporating data science and engineering proficiency.
- Drive process enhancement and operational efficiency by researching and proposing data-backed improvement initiatives, utilizing data science and engineering techniques. Collaborate with internal stakeholders, leveraging these skills to achieve deliverables effectively.
- Foster constructive internal relationships to ensure seamless workflow. Manage expectations of colleagues and clients, drawing on data science and engineering skills to deliver on agreed tasks. Execute assignments within specified time frames while maintaining high-quality standards in accordance with internal and external guidelines, regulations, and governance requirements.
Essential Qualifications – NQF Level
- Advanced Diplomas/National 1st Degrees
Preferred Qualification
- Relevant Degree/ Diploma/ Equivalent
Type of Exposure
- Managed Relationships
- Managed Self
- Managed own Career
- Provided Administrative Support
Minimum Experience Level
- 0 to 6 months
Technical / Professional Knowledge
- Data Science
- Data analysis
- Data Engineering
- Data Modelling
- Data Governance
Behavioural Competencies
- Adaptability
- Continuous Learning
- Collaborating
- Customer Focus
- Innovation
- Work Standards
For More Information:
Visit the Official Webpage of the Nedbank Data Graduate Programme