Top Data Jobs in Edinburgh

The Risk Data Scientist will develop data-driven solutions to optimize risk management by leveraging advanced machine learning and statistical methods. Responsibilities include collaborating with stakeholders, managing large data sets, coding, keeping up with industry trends, and presenting insights to stakeholders.

As a Senior Data Scientist at eyeo, you will work on various projects including optimizing business processes, designing algorithms for real-time bidding, conducting A/B tests, and enhancing data collection strategies. You'll collaborate with engineering and product teams to provide analytical insights and improve product offerings.

The Data Annotation Specialist for Hebrew is responsible for data tagging, validation, classification, image identification, and detecting audio events. This entry-level role offers learning support to gain experience in the AI industry, focusing on ensuring data accuracy and performance evaluations of Automatic Speech Recognition models.

As a Senior Data Scientist, you will lead an analytics research team, focusing on predictive modeling, machine learning, and developing computational models for optimizing analytics. Responsibilities include collaborating on new algorithms, applying advanced data analysis techniques, mentoring junior researchers, and communicating research findings effectively.

The Senior Data Analyst will develop data models for the low-carbon hydrogen market, create data pipelines, implement data quality rules, and visualize data using BI tools. Collaborating with cross-functional teams, this role emphasizes improving data quality and efficiency in data delivery.

The Senior Manager - Data will lead data governance implementation projects, establishing standards and controls within data management systems. They will oversee a delivery-focused team, configure data governance capabilities, and ensure stakeholder alignment and adoption of processes, contributing to the development of team members in a collaborative environment.

The Lead Price Comparison Data Analyst will analyze insurance price comparison data, transforming complex datasets into clear insights for decision-making. They will work with marketing, pricing, and product teams to drive performance and optimize pricing models, presenting findings to senior leadership and supporting analytics developers.

As a Data Engineer at Ascent, you will design and create data pipelines that transform and optimize data for analytics and other uses. You will collaborate with stakeholders, manage data lineage and metadata, and work with Azure data services in a team-focused, Agile environment.

The Commercial Data Analytics Developer will analyze marketing data and collaborate with the marketing team to translate business requirements into insights. Responsibilities include statistical modeling, BI report development, and improving marketing data models to enhance customer experiences.

You will be responsible for maintaining and setting up automated data ingestion pipelines, simplifying existing data pipelines, designing a cloud-native data warehouse, and collaborating with data scientists for ML model deployment. Key tasks include data storage, data manipulation, and cloud infrastructure management.

The Data Senior Manager, Growth is responsible for leveraging data to drive growth strategies and optimize decision-making. Key responsibilities include developing attribution models, calculating channel-level CACs, designing experiments, and creating dashboards that provide insights into growth performance.

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 DDF Engineering Lead will oversee a team of data engineers and DevOps engineers, driving the delivery of data products and implementing DataOps practices. Responsibilities include collaborating with cross-functional teams, optimizing data pipelines, ensuring adherence to governance policies, and promoting data quality. This role requires significant technical leadership and stakeholder engagement to maximize data utilization for business value.

As Manager of Market Data Management, you will oversee procurement and vendor relationships for market data services, develop sourcing strategies, manage the Information Services budget, ensure compliance with regulations, and collaborate with stakeholders to enhance investment tools.

The role involves evaluating and rating e-commerce data based on specific guidelines, conducting online research, and providing feedback to improve AI technologies. It is targeted towards entry-level candidates and offers flexible hours as a freelance opportunity.

As a Senior Data Engineer, you will design and implement a cloud-based Consumer Data Lake, transforming consumer data into actionable insights through hands-on technical execution and collaboration. You will build and optimize data pipelines, ensure data quality, and work with global teams to meet business needs while adhering to privacy regulations.

The Data Platform Domain Lead will define and execute the data platform strategy, ensuring it aligns with the overall goals of Petcare. This role involves leading the delivery of platform capabilities, managing cross-functional teams, and optimizing use of data resources while monitoring key performance indicators. Strong stakeholder collaboration and governance will be key to success in this role.