Top Data Jobs in Edinburgh

As a Data Scientist, you will analyze large data sets to identify opportunities for optimization and test the effectiveness of various actions. You will develop algorithms and data models, apply data mining techniques, and conduct statistical analyses to create high-quality predictive systems.

As a Lead Price Comparison Data Analyst, you will analyze insurance price comparison data, transforming it into engaging insights for non-technical stakeholders. You will collaborate with various teams to optimize pricing models and present data findings to senior leadership, driving customer insights and business strategies.

As an Entry-Level AI Data Rater, you will evaluate e-commerce data, follow specific guidelines for research, and rate the usefulness of product filters. This role offers comprehensive training and is ideal for entry-level candidates eager to gain experience in AI technologies.

The SAP Data and Integration Analyst at Royal Canin will support the EOS business transformation by designing integrations for SAP S/4 related to the Make to Deliver template, focusing on master-data and transactional integrations. The role requires collaboration with various technical teams and creating interface specifications and test plans.

The Senior Data Engineer will lead the data engineering function, work on a modern data platform, and create data-as-product solutions. Responsibilities include assembling complex data sets, building ETL infrastructure, maintaining the Data Warehouse platform, and ensuring the platform adheres to financial models. The role requires strong leadership in coaching and mentoring along with effective communication skills.

The Data Engineer will develop databases and data pipelines, create end-to-end data solutions, and maintain scalable data solutions while collaborating with various stakeholders to ensure data security and project success.

The Senior Data Analyst will work closely with stakeholders to translate business requirements into data solutions, analyze large datasets for insights, validate data accuracy during migration, and ensure data quality. Responsibilities include collaborating with Data Engineers, creating data validation processes, providing ad-hoc analyses, and documenting methodologies.