Job Description

Job Overview

Business Segment:

Corporate & Investment Banking

Location:

ZA, GP, Johannesburg, 5 Simmonds Street

Job Type:

Full-time

Job Ref ID:

80419885A-0001

Date Posted:

8/26/2025







We are seeking an experienced Senior Data Scientist to lead the design, development, and deployment of advanced analytical and machine learning solutions. The ideal candidate will be responsible for solving complex business problems through data-driven insights, predictive modelling, and AI solutions.



This role requires strong expertise in statistical modelling, machine learning, and deep learning, along with proven experience deploying models into production within hybrid cloud environments (Azure and AWS). The Senior Data Scientist will collaborate with stakeholders across business and technology teams, ensuring solutions are scalable, explainable, and deliver measurable value.



Qualifications

Type of Qualification:

First Degree

Field of Study:

Computer Science, Statistics, Applied Mathematics, or related

Advanced degree (MSc/PhD) preferred.

Certifications in Azure Machine Learning, AWS Sagemaker, or related platforms advantageous



Experience Required

5-8 years



Minimum 5-8 years' experience in Data Science and Machine Learning

Proven track record of deploying ML models into production (Azure ML, AWS Sagemaker, or Databricks)

Strong expertise in Python (Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL

Solid understanding of statistics, time series analysis, NLP, and deep learning

Experience with MLOps, CI/CD pipelines, and model monitoring

Exposure to big data ecosystems (Spark, Databricks, Hadoop) is advantageous

Experience working in financial services or large-scale enterprise environments (preferred)

Additional Information

Behavioural Competencies:

Adopting Practical Approaches

Articulating Information

Challenging Ideas

Convincing People

Embracing Change

Empowering Individuals

Making Decisions

Producing Output

Pursuing Goals

Resolving Conflict

Showing Composure

Upholding Standards

Technical Competencies:

Machine Learning & Deep Learning (Supervised, Unsupervised, NLP, GenAI)

Statistical Modelling & Advanced Analytics

Data Wrangling & Feature Engineering

MLOps & Model Lifecycle Management

Big Data & Distributed Systems (Spark, Databricks)

Cloud ML Services (Azure ML, AWS Sagemaker)

Data Governance & Model Explainability

Business Problem-Solving & Value Creation

Please note:

All our recruitment processes comply with the applicable local laws and regulations. We will never ask for money or any from of payment as part of our recruitment process. If you experience this, please contact our Fraud line on +27 800222050 or TransactionFraudOpsSA@standardbank.co.za