1 to 4 of 4 Data Analysis Jobs in Glasgow with Remote Work Options

If you're passionate about commodities and have a flair for leadership, this role is tailor-made for you. Your primary focus will be data analysis and visualization, application development, team leadership, project management, and global travel and client interaction. 🔍 Key Responsibilities: 📈 Data Analysis and Visualization … Lead the analysis, interpretation, and visualization of geospatial data related to coffee, cocoa, and other commodities. Harness tools like QGIS, Python, and JavaScript to create insightful and interactive maps and data visualizations. Develop machine learning models and pixel classification algorithms for agriculture applications. 🌐 Application Development: Create and … maintain web-based applications using React and other JavaScript frameworks to present geospatial data in an accessible, user-friendly manner. Ensure seamless integration of geospatial applications with existing systems and databases. 👥 Team Leadership: Mentor and guide junior analysts, fostering a culture of continuous learning and improvement. Collaborate with cross more »

to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data LakeDevelop robust testing and validation processes … Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirableSolid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable.Proficiency in handling large datasets, experience with Azure … Data Factory, Azure SQL Database, and Cosmos DB.Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications.Qualifications:Degree in more »

phenomenal opportunity for an Insight Manager to join our Claims department. The Insight Manager will lead efforts to enhance financial crime management by improving data analysis and business intelligence. Develop and maintain strategies to mitigate financial loss and regulatory risks, with a focus on anti-money laundering compliance. … compliance risks. Maintaining high-quality communications with Financial Crime business leaders Designing and implementing procedures to handle a large volume of intelligence items. Managing data collation and analysis from multiple departments and data sources across the company. Identifying financial crime threats, trends, or gap closures and advocating … for overall prioritisation in strategy and deployment of resources. Qualifications We would love you to bring! Technical understanding of MI data sources and analysis, threat/risk assessment and intelligence operations Knowledge of relevant AML and Proceeds of Crime legislation Broad knowledge of fraud/financial crime risk more »

Are you an experienced Data Analyst ? Do you have strong SQL and Power BI skills ? Would you like to be part of a newly created Data Analytics team ? My clients office is Glasgow city-centre however the role is hybrid (2 days a week in the office), It … s initially an 18 month fixed term contract (salaried) You will be responsible for collecting, processing and analysing data to provide insights to support strategic decision-making, working with datasets, identifying trends, and presenting findings to key stakeholders. Role responsibilities include: collection and integration analysis and visualisation Strategy … support monitoring and improvement governance and compliance Required skills: experience as a data analyst, ideally in a commercial or business sector. in data analysis tools and programming languages (e.g. SQL). with data visualisation tools (e.g., Power BI). analytical and problem-solving skills. communication and more »