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, NumPy, PyTorch/TensorFlow optional).
- Experience with Azure Machine Learning, Databricks, Synapse, and associated ML tooling.
- Strong statistical and mathematical modelling skills.
- Experience with MLOps, Azure DevOps, 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.
Requirements
- DP‑100 Azure Data Scientist Associate
- Other relevant Azure or ML certifications (Databricks ML, TensorFlow 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
Skills Required
- Proficiency in Python
- Experience with Azure Machine Learning and Databricks
- Strong statistical and mathematical modelling skills
- Experience with MLOps and Azure DevOps
- 3-5+ years in machine learning or data science
What We Do
Blue Pearl is a market-leading CLOUD Solutions developer with extensive knowledge and insight into the latest technologies, standardised processes, advanced technical capabilities and consulting processes available, ensuring wholistic success for our clientele. We offer professional consulting to compliment your business strategy and overall management and make it our priority to add value to any business by listening, analysing and creating a conducive solution that will empower our client. We implement a Data Analysis Process that includes inspecting, cleansing, transforming, and modelling data with the end-goal of discovering useful information, informing conclusions, and relevant information to support your decision-making. Your business cannot afford not to engage with us, allowing our data analysis to play a role in making your business decisions more scientific and helping your business achieve effective operation. Blue Pearl’s team of experts include BI strategists, BI analysts, Data Warehouse Architects, Data Scientists, Implementation and Development experts. With the use of BI, Analytics and Big Data, we effectively partner with our customers on their mission to achieve a competitive business advantage and real ROI from the structured information we collect.
