Senior Data Scientist

Standard Bank Group; Johannesburg; On-site; ZAR 800,000 - 1,200,000; Full time

Job summary

A leading financial institution in Johannesburg is seeking an experienced Senior Data Scientist to lead the development of advanced analytical and machine learning solutions. The ideal candidate will have 5-8 years of experience and strong expertise in statistical modelling and machine learning. This full-time role does not support remote work, and candidates should be comfortable deploying solutions in Azure and AWS environments.

Qualifications

• 5-8 years of experience in Data Science and Machine Learning.
• Proven track record of deploying ML models into production.

Responsibilities

• Lead the design development and deployment of analytical solutions.
• Collaborate with stakeholders across business and technology teams.

Skills

Statistical modelling

Machine learning

Deep learning

Data wrangling

Feature engineering

MLOps

Cloud ML services

Big data

Education

First Degree in Computer Science, Statistics, or related

MSc or PhD

Tools

Azure ML

AWS SageMaker

Databricks

Spark

Job description

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 58 years experience in Data Science and Machine Learning
• Proven track record of deploying ML models into production (Azure ML, AWS SageMaker or Databricks)

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

Remote Work: No

Employment Type: Full-time

Vacancy: 1