IT Graduate (Group Data & Analytics)

About

Description

Join us at Nedbank and embark on an exhilarating journey into the cutting-edge world of data, including fields such as data science, and engineering! Propel your career forward as you immerse yourself in a dynamic learning experience, honing your skills and mastering competencies that will set you apart. 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!

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

Qualifications

• Grade 12/Matric
• Relevant Degree/ Diploma/ Equivalent

Application instructions:

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