Top Data Jobs in Edinburgh

Develop enterprise-grade data models for financial services. Conduct business analysis, design data models, support governance, and utilize modelling tools.

The role involves designing and delivering a regulatory data ecosystem for the asset management sector, coordinating data needs, and engaging with senior stakeholders.

The Systems Analyst will support the delivery of client data solutions, translating business needs, enhancing reporting processes, and improving data accessibility.

As a Data Analyst in the Digital Audit Team, you will support data development and visualization, engage with teams for data integration, and maintain data infrastructure using Microsoft technologies.

The Senior Data Analyst will manage security data, ensure accuracy, support the Front Office, and assist in project testing related to data operations.

The Data Modeller will design and maintain data models, implement Data Vault 2.0 models, and collaborate with engineering teams to support enterprise-wide data initiatives.

As a Data Architect, you'll lead traditional data architecture practices, provide technical guidance, manage a team, and engage with clients.

Design and maintain scalable data pipelines, migrate data from Postgres to Clickhouse, and develop DBT models for reliable decision-making.

As a Data Scientist at Typeform, you'll analyze data and build AI/ML models to develop innovative features and drive business impact, collaborating closely with cross-functional teams.

As a Data Analyst at Thrill Labs, you will analyze datasets to provide insights, develop dashboards, and collaborate with teams to drive product and operational strategies.

Lead development of forecasting algorithms, collaborate on greenfield projects, and enhance forecast accuracy using customer data signals in a dynamic team environment.

The Senior Full Stack Data Scientist will develop forecasting algorithms, collaborate with teams to enhance accuracy and build predictive software in a startup environment.

The Finance Internal Controls Senior Analyst will manage risk data, streamline reporting processes, and collaborate on data insights and automations.

Collaborate on AI/ML model development, analyze physiological data, design experiments, communicate insights, and improve user engagement for fitness applications.

Develop and improve machine learning and statistical models for sports betting products, collaborating with teams to enhance performance and deploy models.

The Senior Data Engineer will focus on ingesting and curating satellite imagery and geospatial data, building data pipelines, and mentoring junior engineers, while ensuring performance and scalability.

The Data Scientist will analyze sales and marketing data to develop models, provide insights, and guide growth strategies, directly reporting to the CFO.

As a Senior Data Scientist, you'll develop algorithms detecting driving patterns from telematics data, building scalable features and insights into production.

The Data Engineer will design and support data warehouses, create analytics dashboards, perform data quality analysis, and identify process improvements. Responsibilities include collaborating with stakeholders to develop insights and ensure data governance.

As a Senior Data Engineer, you'll design and maintain cloud-native data pipelines, automate workflows, and collaborate on data solutions for clients.

The Data Manager will oversee clinical trial data management, collaborating on trial design, setup, delivery, and product development to ensure quality outcomes.

The Data Engineer will build and maintain data pipelines, architecture, and CI/CD infrastructure, collaborate with stakeholders, and support AI components to enhance data management capabilities.

The Lead Data Architect will oversee data architecture strategy, governance, and innovation, focusing on enterprise data alignment with business objectives while leading a team and collaborating across departments.

Lead the Market Data Quality & Benchmarks organization, overseeing data quality, pricing methodologies, and operational excellence in market-data products.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.