Data Scientist at Nedbank

What You’ll Do

Build Next‑Generation Analytic Engines

• Develop advanced statistical models, algorithms, and ML solutions
• Convert prototypes into scalable, production‑ready models

Turn Complex Data Into Action

• Conduct deep statistical analysis to uncover insights
• Identify trends, measure performance, and deliver intelligence to stakeholders
• Transform raw data into meaningful business solutions

Shape the Future of AI in Financial Services

• Gain expertise in financial domain concepts and regulations
• Work closely with banking specialists to design ML solutions for financial environments
• Contribute to Nedbank’s AI/ML strategy and roadmap

Engineer Smart, Scalable ML Systems

• Support end‑to‑end ML design including adaptability, retraining, and monitoring
• Assess ML performance aligned with IT and business strategy
• Collaborate across teams on solution engineering

Build Your Craft

• Apply strong fundamentals in data structures, algorithms, and computational complexity
• Use Python, R, and big data frameworks like Hadoop and Spark
• Stay ahead of emerging tech through continuous learning
• Communicate insights clearly to technical and non‑technical audiences

People Specification

Qualifications

• Matric and relevant STEM degree
• Preferred: Engineering, Computer Science, Econometrics, Mathematical Statistics, Actuarial Science
• Master’s or PhD advantageous

Experience

• 3–7 years in data science or statistical modelling
• Hands-on ML, statistics, optimisation
• Proficient in Python, R, Matlab
• Experience with Hadoop, Hive, Spark, MapReduce
• Strong collaboration skills and adaptability

Technical Expertise

• Data mining, statistical analysis
• Supervised & unsupervised learning
• NLP, deep learning
• Feature engineering, hyperparameter tuning
• Data modelling, pipelines, integration
• Cloud fundamentals
• Model deployment & monitoring
• Visualisation & presentation
• AI ethics & fairness