Amidel is an Information Technology and Business Consulting Company that provides highly specialised solutions to large and small enterprises in both the private and public sectors. We seek a highly motivated and experienced Intermediate/Senior Azure Data Scientist. The ideal candidate should have a strong background in machine learning, data engineering, and AI model deployment using Microsoft Azure technologies.   This role presents a dynamic opportunity to work on impactful data-driven solutions with leading organisations in sectors such as finance, healthcare, and public service. The candidate should ideally hold the Microsoft Certified: Azure Data Scientist Associate certification.   Job Family: * Data Science / Artificial Intelligence / Cloud Analytics Minimum Experience: *  5 Years working in data science, analytics, or AI/ML solution development. * 3 Years working on Microsoft Azure-based data science platforms. Qualification: *  Bachelor’s degree in data science, Computer Science, Statistics, Mathematics, or a related field * Advantageous: Microsoft Certified: Azure AI Engineer Associate or Azure Solutions Architect Expert Contract Type: Permanent or Fixed-Term   DUTIES AND RESPONSIBILITIES  Responsibilities vary by client engagement and may include: * Designing, building, and deploying scalable machine learning models on Azure * Working with Azure Machine Learning (Azure ML) to train, test, and operationalize AI models. * Performing data ingestion, transformation, and feature engineering using Azure Data Factory, Synapse Analytics, and Databricks * Collaborating with data engineers to develop robust data pipelines and prepare data for modelling * Selecting and fine-tuning appropriate ML algorithms and evaluation metrics for different business problems * Integrating machine learning models into business applications via APIs or embedded services * Enabling secure and reproducible ML workflows using ML pipelines and automated ML (AutoML) * Leveraging responsible AI practices to ensure fairness, accountability, and transparency in models. * Creating interactive reports and dashboards using Power BI to visualise predictive insights. * Working with large datasets from diverse sources (structured, semi-structured, unstructured) * Engaging with business stakeholders to translate use cases into AI solutions. * Supporting model monitoring, drift detection, and lifecycle management in production environments * Documenting processes and sharing knowledge with teams and clients   COMPETENCIES   * Proven experience building and deploying machine learning models in cloud environments. * Proficiency in Python and common ML/data libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow, PyTorch). * Experience using Azure ML, Synapse Analytics, and Data Lake for data science workflows. * Knowledge of data pre-processing, feature engineering, and model validation techniques. * Familiarity with MLOps principles and automated ML lifecycle management. * Strong understanding of statistics, data wrangling, and algorithm optimisation. * Experience working with both structured and unstructured data (e.g., text, images, sensor data). * Hands-on experience with data integration tools such as Azure Data Factory and Databricks. * Microsoft Certified: Azure Data Scientist Associate (must have or in progress). * Excellent communication and presentation skills for both technical and non-technical audiences. * Ability to work in cross-functional teams and translate complex problems into actionable solutions. * Financial or enterprise industry experience is an advantage. * Exposure to hybrid cloud data environments is a plus.   If you are passionate about solving real-world problems through data, machine learning, and AI innovation on the Microsoft Azure platform, we encourage you to apply. This is a unique opportunity to shape intelligent solutions and accelerate digital transformation across industries while growing your expertise in the Microsoft data ecosystem.