13 of 13 Data Science Jobs in Belfast

chain. This role is fully remote in UK, with full work authorization already in effect. No Visa sponsorship is available. Job Description In a data-driven and AI-oriented environment, you will be responsible for the design, industrialization, and optimization of inter-application data pipelines. You will … involved in the entire data chain, from data ingestion to its use by data science teams and AI systems in production within a human-sized and multidisciplinary team. This role is within Process Intelligence (PI) team that combines functions such as Process Mining, Real Time Monitoring ...

Data Scientist - £70k | Remote/Hybrid | FinTech/Payments We're working with an established FinTech/Payments business that has been helping customers manage and move money globally for many years. The company builds technology-led products that support low-cost, multi-currency payments and money management, operating … across several regulated markets. They're now investing further in their Data Science and AI capability and are looking for a Data Scientist to play a key role in shaping how advanced analytics, machine learning and AI are used across the business. The role As a Data ...

About Quantiphi: Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough … evaluate, and deploy traditional machine learning models and solutions to solve real-world business problems. You'll work closely with cross-functional teams including Data Science, Software Engineering, and Product to translate analytical insights into scalable production systems. This is an exciting opportunity for a data-savvy ...

This role is the programme's data-driven applications engineer - sitting between Oracle APEX development, analytics engineering, and data science enablement. It focuses on delivering reporting, dashboards, lightweight applications, and analytical PoCs on top of the client's Oracle cloud estate (ADW, OAC, Fusion, OIC). … Responsibilities Develop, enhance and maintain secure APEX applications for analytics, reporting and workflow enablement within the Defence programme. Build OAC dashboards, data visualisations, semantic models and automated reporting pipelines. Support data science explorations (feature sets, model inputs, structured data prep) and collaborate with AI engineers delivering ...

remote-first technology organisation headquartered in the UK, with a distributed team across Europe. The business operates in a highly data-driven environment, working closely with Product and Data Science teams to support an Educational AI pipeline. Data reliability, performance, and scalability are central … platform, and this role plays a key part in maintaining and evolving the underlying data infrastructure. You'll be joining a collaborative, distributed engineering team, with the opportunity to take real ownership of database systems and tooling. OUR BENEFITS: Remote-first working model Autonomous, trusted working environment Collaborative ...

roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You'll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical … concepts, and feasibility studies for emerging AI technologies. Collaborate with Product Management to scope AI features and align them with business goals. Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines. Work closely with Development, DevOps, and QA teams to ensure ...

core model capabilities and protocols. Leadership & Collaboration - Collaborate on UI/UX integration, code reviews, architecture and roadmap decisions, and cross-functional work with data science, product, and commercial teams. Data Engineering - Design and maintain efficient data pipelines, ensuring smooth data flow between systems ...

front end of enterprise software or SaaS products that are used by large enterprises. A small highly collaborative product team consisting of designers and data scientists within a growing consultancy so the ideal candidate will take ownership of the development of the product (alongside the product lead … excellent communicator, able to contribute to the roadmap and steer technical decisions. You will be expected to: ● Develop new features working with the data science ● Develop bug fixes and security patches promptly ● Collaborate and contribute to product feature planning (from a technical perspective) ● Lead implementation of testing infrastructure ...

bonus scheme and sales commission scheme Why This Role Exists Serve Legal is entering a new chapter: evolving beyond compliance auditing into AI enabled, data-driven products, platforms, and services that shape the future of compliance and consumer intelligence. To make this happen, we're launching an Innovation Labs … products and AI Agents. The Senior Product Engineer will be at the heart of this, working alongside the Technology Director and the Innovation Labs' Data Scientist. You'll own the end-to-end engineering and leverage AI tooling to develop prototypes, MVPs, and productised tools and AI Agents—bringing ...

About Intellias Intellias is a European-founded AI, Data and Software Development company with global delivery capability across Europe, India and Latin America. For more than 20 years, we've empowered our customers to embrace innovation at scale and contributed to the success of the world's leading brands. … with the leading hedge funds, online trading companies, reinsurance institutions and banks to help them compete in the age of AI through modernisation, enterprise data management, and agentic AI capabilities. As we continue to scale, we're expanding the team in the UK, bringing top talent on board ...

based health and wellbeing organisation is hiring a Data Scientist to build and deploy production ML and GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real … production problems rather than research-only work, owning models from first iteration through to live deployment. You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow ...

trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help … models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with Research ...

robust engineering, governance, and scalability. Responsibilities Design, build, and deploy machine learning models into production within a Financial Services environment Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring) Ensure models meet requirements around performance … Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn) Experience deploying and supporting ML models in production Solid understanding of data pipelines, versioning, testing, and software engineering best practices Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have Experience with fraud, risk ...