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


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