21 of 21 Data Science Jobs in Belfast

Remote (UK-based candidates preferred) Employment Type: Full-time Experience Level: Junior/Entry-Level About the Role We're seeking a motivated Junior Data Scientist who's eager to turn data into meaningful insights and grow in a dynamic, collaborative environment. This fully remote role is open … candidates based in the UK. You'll work alongside senior data scientists, analysts, and business stakeholders to help tackle real-world challenges through data-driven solutions. Key Responsibilities Assist with collecting, cleaning, and preparing both structured and unstructured data Conduct exploratory data analysis (EDA) to identify ...

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 ...

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 ...

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 ...

deliver Homes for Students' enterprise AI strategy, embedding intelligent solutions across the organisation to enhance customer experience, improve operational efficiency, strengthen decision-making, deepen data insights, and drive commercial performance. As the senior authority on AI, data science, and automation, the role will translate business challenges into … senior advisor to the executive team on AI opportunities, risks, and investment decisions. Build, lead, and develop a high-performing AI and data science capability, including internal teams and external partners. Promote a culture of data-driven decision-making and responsible AI adoption across the organisation. Delivery ...

intelligent automation use cases. Fine-tune and customise LLMs (e.g. OpenAI, Anthropic, and other models) for specific business applications. Collaborate with engineering and data science teams to implement MLOps best practices — from deployment and monitoring to continuous iteration. Partner with commercial and operational teams to identify and automate … processes that can be enhanced through AI tools. Ensure responsible and secure use of AI through data governance, model guardrails, and compliance measures. About You Deep expertise in Python, machine learning, and data science. Experience building, deploying, and scaling AI models in Azure and/or AWS environments. ...

Data Scientist – Peer‐to‐Peer Renewable Energy Trading Platform Location: London (Hybrid) Employment Type: Full‐time, Permanent About the Company We are a rapidly scaling peer‐to‐peer Power Purchase Agreement (PPA) platform enabling businesses, generators, and communities to buy and sell renewable electricity directly. Our purpose … accelerate the shift to a decentralised, transparent, and data‐driven energy system. We build intelligent systems that optimise matching, pricing, and forecasting across distributed generation and consumption. As we expand across the UK and Europe, we are adding strong analytical and modelling capability to our team. Role Overview ...

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 ...

with Faculty, one of the UK's most established applied AI companies, delivering large-scale machine learning systems for organisations operating in highly complex, data-intensive environments. This is a senior engineering role for someone who wants to take ownership of end-to-end AI delivery. You'll lead … direction, influence architectural decisions, and act as a senior technical voice on mission-critical AI initiatives. You'll operate at the intersection of engineering, data science, and business delivery — helping organisations turn machine learning into reliable, scalable, and commercially valuable systems. Requirements: Extensive experience building, deploying, and operating ...

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 ...

Head of Solutions – AI & Real-World Data Remote/UK or Ireland We are partnering with an innovative, high-growth health technology organisation that is transforming how pharmaceutical companies access and use real-world patient data. The business has built a powerful AI-driven platform that integrates clinical, hospital … patient-generated data to generate validated, research-grade insights. Their mission is simple: help life sciences organisations make better decisions across drug development, market access, and commercial strategy. To support their rapid global expansion, they are now seeking a Head of Solutions – a critical leadership role at the intersection ...

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 ...

Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer. ...

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 ...

architecture, and lead by example. You'll design and build the core AI-powered platform, set technical standards, and work closely with product, data, and leadership to ship intelligent automation and decision-support tools for a legacy industry. What You'll Be Doing You'll lead the architecture … staying deeply hands-on across the entire stack, from frontend UX to backend services, AI integrations, and core infrastructure. Working closely with the CTO, data scientists, and product leadership, you'll help shape both the technical direction and the product itself. You'll build and mentor a small, elite ...

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 ...