Top Data Jobs in Belfast

As a Senior Data Scientist, you will lead high-complexity projects, develop ML and NLP solutions, and collaborate across teams to drive business impact through statistical modeling and data analysis.

Lead research and engineering for GenAI applied to cybersecurity: define model architectures and training, build production-scale AI systems, mentor scientists, set technical standards, and represent CrowdStrike in publications and talks.

The Fraud Analyst role focuses on investigating fraud cases, collaborating with teams to improve fraud detection, and refining operational processes while ensuring data quality and participant experience.

The Data Analyst role involves building product dashboards, collaborating with data engineers, and designing metrics to translate learner data into insights for customers.

The VP Growth will lead initiatives to acquire new business, manage a sales team, enhance customer relationships, and drive revenue growth in the EMEA region.

The Principal Product Specialist will drive sales strategy, manage Proof of Concept processes, and facilitate customer engagement for DSPM solutions across EMEA, ensuring product evolution based on customer feedback.

The Complaints Specialist will handle insurance complaints, improve processes, coach team members, and report on performance metrics while owning their specialist function.

The Data Reliability Engineer II will automate data tasks, manage data infrastructure on GCP, and ensure data quality and security while collaborating with various teams.

As a Data Reliability Engineer II, you'll maintain and enhance the reliability of database systems, manage a GCP data ecosystem, automate operations, and ensure data security and documentation.

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

The Master and Reference Data Lead Analyst will document and enhance Master and Reference Data across Citi, analyze data models, resolve data quality issues, and ensure compliance with governance requirements.

The Reference Data Services Group Manager manages complex operational areas, leads teams, ensures regulatory compliance, and provides strategic direction for business processes.

Lead the delivery of mechanical projects in the Technology/Data Centres sector, focusing on client relationship management and technical excellence while managing project financials.

Develop Front Office Trading software focusing on low latency components. Engage in end-to-end development, from design to implementation, mainly using C++.

The Fintech Operations Director will oversee payment operations, fraud prevention, and compliance, leading a team to scale and improve processes in a high-growth environment.

As a Palantir Data Consultant, you will analyze business needs for data solutions, facilitate workshops, and manage stakeholder engagement, ensuring delivery in agile environments.

As a Data Scientist Manager, lead the delivery of advanced AI solutions, manage a team, engage with stakeholders, and innovate in AI technologies.

Lead the design and development of data services, manage data reliability, create data models, and ensure data products support ML workflows.

Design and build data pipelines, implement data ingestion patterns, optimize pipeline performance, support ML use cases, and collaborate on data solutions.

Lead Andela Academy, scaling enterprise learning solutions in AI and Cloud. Build relationships, oversee team delivery, and drive revenue growth with high client satisfaction.

The Data Engineer will design, build, and improve data pipelines while collaborating with cross-functional teams to ensure data quality and reliability.

The analyst will support operational activities related to trading legal agreements, ensuring data quality and accurate entry, while training junior analysts and collaborating with stakeholders.

The analyst reviews legal agreements, processes trading documentation, and ensures data accuracy in internal systems for risk computations. Key responsibilities include contract processing, data entry, and collaboration with internal teams.

As a Senior Data Engineer, you'll design and develop data processing solutions, collaborate with architects, mentor team members, and ensure operational readiness in agile teams.

As a Senior Data Engineer, you will design and develop large-scale data processing software, manage technical components, and mentor team members, while ensuring code quality and operational readiness.