Senior Data Scientist

We are currently seeking a highly skilled Senior Data Scientist to join a major project within the medical/healthcare sector. The successful candidate will play a critical role in delivering advanced data science solutions, analytics, and machine learning capabilities within a cloud-based environment.

This opportunity is ideal for an experienced Data Scientist with strong Azure cloud expertise, particularly within Azure Databricks, who can contribute immediately to a fast-paced and technically driven project environment.

The individual must be available to onboard within the next 2 weeks.

• Design, develop, and deploy advanced data science and machine learning solutions
  
• Work with large, complex healthcare and medical datasets
  
• Build and optimize data pipelines and analytical models within Azure Databricks
  
• Perform data cleansing, transformation, feature engineering, and predictive analytics
  
• Collaborate with business stakeholders, technical teams, and project managers to define data-driven solutions
  
• Develop dashboards, reporting models, and actionable insights for business decision-making
  
• Ensure data governance, quality, and compliance within the medical sector environment
  
• Contribute to AI/ML model deployment and monitoring processes
  
• Support continuous improvement initiatives across analytics and cloud platforms
  

• Proven experience as a Senior Data Scientist
  
• Strong hands-on expertise with Azure Databricks (essential)
  
• Advanced experience with:
  • Python
    
  • SQL
    
  • Machine Learning frameworks
    
  • Data modelling and analytics
    
• Experience working within Azure cloud environments
  
• Strong understanding of data engineering and big data concepts
  
• Ability to work independently within a hybrid project environment
  
• Excellent analytical, problem-solving, and communication skills
  
• Experience within the healthcare or medical sector will be advantageous
  

• Azure Databricks
  
• Microsoft Azure
  
• Python
  
• SQL
  
• Machine Learning & Predictive Analytics
  
• Data Visualization & Reporting
  
• Data Pipelines & ETL Processes
  

• AI/ML deployment experience
  
• Power BI
  
• Healthcare/Medical sector exposure
  
• MLOps knowledge
  

• Strong analytical thinking
  
• Problem-solving ability
  
• Stakeholder engagement
  
• Attention to detail
  
• Ability to work under pressure
  
• Strong communication and collaboration skills
  
• Self-management and accountability
  

• Immediate availability preferred
  
• Candidates must be able to work onsite in Midrand when required
  
• This is a high-impact project within the medical sector with potential extension based on project requirements