Job Description
Join one of South Africa’s top banks as a Lead Data Scientist, driving innovation in credit, fraud detection, and customer intelligence. You’ll lead high-impact AI initiatives, mentor emerging data talent, and shape the strategic direction of data science within the business.
Responsibilities:
- Lead the end-to-end design, build, and deployment of predictive models that power smarter decisions and stronger customer trust.
- Drive the bank’s AI and ML strategy, positioning it as a leader in intelligent automation and data innovation.
- Mentor and guide junior data scientists, fostering a high-performance, collaborative team.
- Partner with executive stakeholders to translate complex business challenges into scalable AI solutions.
- Champion data governance, ethical AI, and regulatory compliance across all projects.
- Act as a thought leader in applied machine learning and AI innovation within financial services
Qualifications and Experience:
- PhD or Master’s in Data Science, Machine Learning, AI, Statistics, or Applied Mathematics.
- 10+ years in data science or ML-focused roles, with proven leadership experience.
- Proven delivery of production-grade ML models in banking, fintech, or high-stakes industries.
- Strong proficiency in Python or R, statistical modeling, and SQL/NoSQL databases.
- Advanced experience in:
- Credit Scoring: Logistic Regression, XGBoost, LightGBM
- Default Prediction: Random Forest, GBMs, Logistic Regression
- Loan Approval Automation: Decision Trees, GBMs
- Fraud Detection: Neural Networks, Isolation Forest, SVM
- Collections Prioritization: Clustering, Gradient Boosting
- Customer Segmentation: K-means, DBSCAN, Hierarchical Clustering
The Reference Number for this position is NG60795 which is a Permanent Hybrid position based in Cape Town offering a cost to company of up to R1.8mil CTC negotiable on experience and ability. Contact Nokuthula at *****@*****.co.za or call her on (***)***-**** to discuss this and other opportunities.
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