Data Scientist

Project description

We are looking for an experienced specialist to work for one of our client from the banking industry.

Responsibilities

• Design and implement data engineering solutions, including preprocessing, wrangling, and pipeline orchestration to ensure high data quality and reliability.
• Build, train, and deploy machine learning models using Azure tools such as Machine Learning Studio, Databricks, and Azure AI services.
• Manage and optimize workflows for big data processing using technologies like Apache Spark, Hadoop, and Azure Synapse Analytics.
• Collaborate with engineering and analytics teams to develop scalable AI systems within the Azure cloud ecosystem.
• Ensure solutions adhere to cloud security best practices, data governance, and compliance standards.Communicate complex data findings through impactful visualizations and storytelling using Power BI and similar tools.

SKILLS

Must have

• Strong experience in data engineering, with proficiency in building robust pipelines and transforming raw data into analytics-ready formats.
• Hands-on expertise with Microsoft Azure AI services, including Machine Learning Studio, Databricks, and related tooling.
• Familiarity with big data technologies, particularly Apache Spark, Hadoop, and Azure Synapse Analytics.
• In-depth knowledge of cloud computing principles, especially within Azure infrastructure (e.g., storage, networking, identity, and security).
• Proficient in data visualization and communication using Power BI, with the ability to clearly articulate insights to technical and non-technical audiences.
• Excellent analytical thinking and problem-solving capabilities, with a solution-oriented and collaborative mindset.

Nice to have

n/a