Azure Data Scientist
Core
Designing, building, and deploying scalable machine learning models on Microsoft Azure for finance, healthcare, and public service sectors.
Role type
Intermediate/Senior Azure Data Scientist
Builds
Production ML models, data pipelines, and interactive dashboards for enterprise clients
Domain
Cloud Analytics / Artificial Intelligence / Data Engineering
Deliverable
production ML models
Required skills
Python, scikit-learn, pandas, NumPy, TensorFlow, PyTorch, Azure Machine Learning, Azure Data Factory, Synapse Analytics, Databricks, feature engineering, model validation, MLOps, statistics, data wrangling
Preferred skills
Azure AI Engineer Associate certification, Azure Solutions Architect Expert certification, financial or enterprise industry experience, hybrid cloud data environment experience
Technologies
Azure ML, Synapse Analytics, Data Lake, Power BI, Azure Data Factory, Databricks
Responsibilities
Designing and deploying scalable ML models on Azure; training, testing, and operationalizing AI models using Azure ML; performing data ingestion, transformation, and feature engineering; collaborating on robust data pipelines; selecting and fine-tuning ML algorithms; integrating models into business applications via APIs; enabling secure ML workflows with automated pipelines; creating interactive reports and dashboards; supporting model monitoring, drift detection, and lifecycle management; documenting processes and sharing knowledge
Seniority
Intermediate/Senior, hands-on IC