Azure Data Scientist

The Azure Data Scientist will be responsible for developing machine learning models, applying advanced analytics techniques, and delivering data-driven insights using Azure-based tooling. This role requires strong analytical capability, statistical modelling expertise, and hands-on experience with Azure ML ecosystems.

• Build, train, validate, and deploy machine learning models on Azure (Azure ML, Databricks).
• Perform data exploration, feature engineering, statistical modelling
  , and predictive analytics.
• Collaborate with data engineers to ensure availability of high-quality training data.
• Work with business stakeholders to translate business problems into ML solutions.
• Develop automated ML workflows using Azure ML Pipelines
  , MLOps practices, and versioning strategies.
• Monitor model performance, drift, and quality; implement continuous improvement processes.
• Present insights, findings, and recommendations to technical and non-technical audiences.

• Proficiency in Python (pandas, scikit-learn, Num Py, PyTorch/Tensor Flow optional).
• Experience with Azure Machine Learning
  , Databricks
  , Synapse
  , and associated ML tooling.
• Strong statistical and mathematical modelling skills.
• Experience with MLOps
  , Azure Dev Ops, Git version control, and CI/CD for ML.
• Familiarity with distributed ML and big data frameworks (Spark ML).
• Ability to work with structured and unstructured datasets.

Qualifications & Certifications (Preferred)

• DP‑100 Azure Data Scientist Associate
• Other relevant Azure or ML certifications (Databricks ML, Tensor Flow Developer, etc.).
• Degree in Data Science, Applied Mathematics, Computer Science, Statistics, or equivalent.

• 3–5+ years in machine learning, AI, data science, or advanced analytics.
• Proven experience delivering production-ready ML models in cloud environments.

• Location: Johannesburg (Hybrid working model)
• Ways of Working: Standard SAST business hours
• Candidate: Preferably a South African Citizen or Permanent Resident