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

Matric and relevant STEM degree

Preferred: Engineering, Computer Science, Econometrics, Mathematical Statistics, Actuarial Science

Master's or PhD advantageous

3 - 7 years in data science or statistical modelling

Hands-on ML, statistics, optimisation

Proficient in Python, R, Matlab

Strong collaboration skills and adaptability