- Perform advanced data analysis, exploration, and processing using Python to uncover insights and trends.

- Develop and implement machine learning models and algorithms using Python, Azure ML, and Databricks.

- Manage and optimise ML Ops processes in Azure, ensuring deployment, monitoring, and maintenance of models.

- Collaborate with cross-functional teams to translate business requirements into data-driven solutions.

- Develop and maintain large-scale data models to support analytics and reporting.

- Utilise Databricks for advanced data processing, ensuring scalability and performance.

- Ensure data quality and integrity through governance and validation processes.

- Stay updated on the latest advancements in data science, machine learning, and cloud technologies.

Required Skills :

- Strong expertise in Python for data analysis and machine learning.

- Experience with Azure ML Ops for model deployment and monitoring.

- Hands-on experience with Databricks for data processing and analytics.

- Strong knowledge of data modeling, large datasets, and cloud-based analytics.

- Ability to collaborate effectively and translate business requirements into technical solutions.

Good To Have :

- Knowledge of additional cloud platforms or ML frameworks.

- Experience with data governance and validation frameworks