19 of 19 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 ...

market, and have deployed them in the UK, US, Canada, Australia, France and elsewhere. As we expand, we are building a dedicated data science function to refine and optimise our existing models, and to create new ones that help us to maintain our position as a leader … field of public opinion. We're looking for someone who's comfortable working with unstructured data, and can turn it into clear outputs that deliver actionable insight for clients. You'll be curious about public opinion and how a richer understanding of it can be of value to clients. ...

continually refine the AI initiatives portfolio and roadmap for the group. Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance. Define clear success measures for every proof of concept (PoC) and MVP, including KPIs, leading indicators, and decision gates to continue … MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives. Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services. Design experiments, test hypotheses, and iterate quickly, ensuring ...

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 ...

dynamic and experienced CRM Manager to lead strategic CRM initiatives across multipole offices. This role is pivotal in driving CRM best practices, enhancing data-driven business development and ensuring seamless integration with key systems and stakeholders.The role is focused on: CRM Taskforce Leadership - Manage the CRM Taskforce and collaborate … with key stakeholders, serving as the firm’s subject matter expert on CRM processes, best practices, and system capabilities. Data Visualisation & Reporting - Collect user feedback and design Power BI reports to support BD campaigns and sector programmes. Alumni & Referral Management - Assist with database management and reporting for the Alumni ...

everything they do, and they are committed to ensuring connectivity reaches the places other providers overlook. Their next stage of growth depends on transforming data into a strategic asset. They are seeking a Director of Data & AI to lead their data, analytics and AI function – creating … trusted single source of truth, embedding data-driven insight into decision-making, and establishing the foundations for advanced analytics and AI at scale. If you're motivated by leading high-performing teams, building reliable and explainable data products, and using data and AI to change ...

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 ...

Data Engineer Asset Performance & Renewable Energy Analytics The opportunity An established renewable energy and digital solutions business is expanding its Asset Performance Management (APM) technology team and is hiring an experienced Data Engineer to support large-scale operational renewable assets. This role sits within a product-focused engineering … group responsible for building and scaling data platforms used to monitor, optimise, and improve the performance of wind, solar, and energy storage assets globally. You will work closely with software engineers, data scientists, and platform teams to design and operate high-quality data pipelines that directly underpin ...

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 ...

Data Scientist | Fully Remote | Health and Wellbeing We're hiring an Data Scientist to help build and ship ML and LLM features in a regulated environment with sensitive data. You'll work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow … deploy LLM use cases (Q&A, summarisation, document processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python ...

Full Stack Engineer (Web & Data) Industry: Technology/Digital Products/Automation & Analytics Location: London, UK (Hybrid 1-2 days) Are you passionate about developing seamless, data-driven digital experiences? An established digital transformation and technology solutions provider is looking for a Full Stack Engineer (Web & Data) to join its growing Automation & Analytics team in London. This hybrid role blends web development with data engineering, offering exposure to everything from dynamic front‐end interfaces and API development to cloud‐based data pipelines and analytics platforms. If you love combining creativity in web development with ...

Data & Defence Engineering Roles Engineer to Managing Consultant | Defence, National Security & Critical Infrastructure London, Newcastle, Manchester, Glasgow We are supporting a leading UK technology and transformation consultancy delivering secure AI, data engineering, and advanced analytics solutions across Defence, National Security, and critical government programmes. The focus … remain technically hands-on, with scope for leadership depending on experience. The Role You will work as part of multidisciplinary engineering teams delivering AI, data platforms, and analytics solutions in secure environments. Depending on level, you will either contribute directly to engineering delivery or lead technical workstreams. Key responsibilities ...

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 ...

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 ...

discover, assess, and respond to third-party and supply-chain risks through advanced AI-driven analytics and intelligence. Their mission is to deliver continuous, data-backed visibility into the extended enterprise — enabling organizations to identify vulnerabilities, map their digital ecosystems, and make informed decisions about vendor and partner risk. … Head of Product to lead a world-class technical team, shape the architectural vision, and drive execution across multiple product streams — including large-scale data pipelines and real-time risk intelligence systems. Role Overview: As Head of Product you will be responsible for owning the product roadmap and execution ...

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 ...

future proof, and expand their revenue opportunities. Their product empowers lawyers and finance teams to maximise value from engagements through: Pricing agents that create data-driven, lawyer-friendly quotes. Management tools that predict overruns and help avoid costly late bills. Enrichment engines that clean and structure messy legal datasets … join. The Role: AI/ML Engineer – Agentic Systems You will design and deliver intelligent agentic workflows, leveraging frontier LLMs. Working with their data scientists and backend engineers, you'll be responsible for making unstructured legal data usable, scalable, and impactful. This is not a prototyping role ...

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 ...