Top Data Jobs in Belfast

As the Director of Data Science, you'll mentor teams, oversee projects, drive data-driven decisions, and implement AI and ML solutions while enhancing our data pipeline.

Lead applied AI research and architecture for GenAI in cybersecurity: design LLM architectures, implement production-grade deep learning systems at scale, mentor scientists, set technical standards, and align AI strategy with business goals.

Serve as the technical authority for enterprise customers in data security, owning the technical sales process. Deliver technical presentations, demos, and whiteboard sessions, advise on AI/ML-driven data protection, and drive outcomes through value-based selling with partners and GTM teams.

Early-career Data & AI Associate supporting adoption of data, analytics, AI and Generative AI across UK and international teams. Work spans discovery, experimentation, implementation, governance and adoption, collaborating with Digital, Marketing, Operations, CX, Product and Technology to improve customer engagement and operational performance.

Lead end-to-end delivery of complex technical projects across infrastructure, platforms, applications, data, cloud and security. Manage plans, budgets, risks, governance and stakeholder communications; coordinate technical teams to ensure timely, secure, high-quality outcomes while supporting benefit realisation and delivery practices.

Lead strategy and delivery for a diabetic eye screening SaaS product: own roadmap, research, go‑to‑market, backlog, releases, stakeholder engagement, KPIs, and third‑party management while working cross‑functionally to improve patient and customer outcomes.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

Own commercial strategy and operations for enterprise pharma and AI accounts: drive pilots-to-revenue, account expansion, pipeline management, pricing, forecasting, and deal strategy. Build cross-functional relationships, push deals through legal/procurement/IT, act as CEO counterpart to shape strategy and product roadmap, and be highly present in person with customers and at conferences.

Lead multi-skilled agile teams to design, build and productionise modern data solutions. Own technical architecture, collaborate with infrastructure and customer architects, define functional and non-functional designs, mentor staff, estimate delivery timelines, contribute to data community and support pre-sales technical solutioning.

Mid-level Python Engineer to learn and implement OneTick solutions, build Python applications and data pipelines, integrate with client platforms, deliver production-ready scalable solutions, troubleshoot production issues, collaborate with stakeholders, and develop domain expertise through training and hands-on delivery. Role is Belfast-based (hybrid) with potential travel to London and New York.

Own commercial growth for a strategically important enterprise account: build executive relationships, execute multi-year account plans, win new business, translate technical propositions into commercial cases, manage account marketing and governance, maintain pipeline and forecasting, and coordinate local GTM teams to drive predictable revenue growth.

Consult on data science and advanced analytics projects: translate business needs into analytical approaches, design and build models, run exploratory analysis, deliver end-to-end analytical solutions, collaborate cross-functionally, present findings to technical and non-technical stakeholders, and support handover and implementation.

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

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

Support daily client and operational data stewardship, execute data set-up tasks (customers, traders, instruments, invoicing), resolve trade breaks, complete BAU by EOD, assist with data integration and firm-wide projects, and support process improvements.

Support delivery of AI/ML solutions for Workday products by applying statistical and machine learning methods, building models and visualisations, assisting deployment alongside engineers, and collaborating with senior team members to learn and deliver on client projects.

The Software Engineer will enhance data collection and ingestion pipelines for AI model training, collaborating on dataset roadmaps and managing cloud infrastructure.

Design, build, and support large-scale data systems and pipelines, ensuring reliability and scalability while collaborating with cross-functional teams to meet data requirements.

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.

Lead and deliver data insight products (reports, dashboards, visualisations), gather requirements via workshops, analyse data across descriptive to prescriptive analytics, advise stakeholders on effort and technical implications, and manage, coach, and develop a small analytics team.

Consult as part of a team building high-performance, cloud-native data platforms for financial markets. Design and implement scalable data pipelines, data models and analytical workloads using Python, SQL and ClickHouse. Deploy and optimise ClickHouse in client environments, work with distributed architectures, container orchestration and automation tools, and collaborate directly with client engineering teams.

Manage market data order queues, liaise with vendors and stakeholders, reconcile vendor services, resolve queries, support process improvements and automation, and contribute to strategic market data projects and leadership requests.

The Enterprise Account Executive will drive new enterprise revenue, engage with senior decision-makers, and execute growth strategies for Data and AI training solutions.

Design, build, and support production-grade data pipelines and platforms to enable analytics and AI. Perform data modelling, transformation, cleansing, and ETL/ELT in cloud environments using SQL, Python/Spark and modern data platforms. Collaborate with stakeholders, apply governance and data quality practices, and work in agile delivery teams.

The role involves developing analytical data pipelines, participating in architectural decisions, and leading projects while collaborating with R&D and engineering teams.