Top Data Jobs in Belfast

As a Data Scientist with Compliance expertise, you will analyze unstructured data to identify compliance risks, generate insights, and assist with data annotation. You will also engage in exploratory data analysis and participate in stakeholder interactions to refine data models and compliance strategies.

Design, build, and support large-scale distributed data systems and pipelines. Collaborate with cross-functional teams, optimize data storage and retrieval processes, and ensure reliability and scalability of data architecture. Champion software engineering best practices and contribute to shaping the future of data-driven decision making.

The Data Annotation Specialist for Hebrew will engage in tasks like data tagging, validation, classification, and image identification while ensuring data accuracy and consistency. This entry-level role includes learning support to gain experience in the AI industry.

The Data Science Lead will manage data science projects, enhance and monitor the digital twin model's accuracy, and collaborate with cross-functional teams to translate business needs into analytical solutions. The role involves guiding data strategy, developing performance metrics, and mentoring team members to foster innovation.

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.

The Data Analytics role involves transforming data into insights to inform business decisions. Responsibilities include conducting lifecycle analysis, developing reporting capabilities, and monitoring performance for quality improvement.

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.

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 a Senior Data Scientist at RevenueCat, you will create data models, dashboards, and reports to help developers make informed decisions. You'll collaborate with product and data teams to enhance data features, build predictive models, and contribute to the data tech stack, ultimately shipping features that drive customer value.