1,601 to 1,625 of 4,568 Data Science Jobs in the UK

people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the team Lendable is the UK market leader in real rate … risk-based pricing, offering consumers transparency and product assurance at the point of application. Data Science and Analytics sits at the heart of this, developing the credit risk models and strategies to underwrite loan and credit card products. Our team is primarily focused on the pricing domain, working ...

markets — the world’s largest asset class at over $145 trillion. Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value … product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide. The Opportunity The Data Science team is growing at 9fin! We are doing world-class work with groundbreaking technologies to build data-driven products using machine ...

funds, wealth managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes. As part of our collaboration we will focus … foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations. Requirements 5+ years of software engineering experience, with a strong focus on infrastructure or platform engineering. Strong production-level Python, including testing, typing, packaging, and dependency management; Bash ...

funds, wealth managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes. As part of our collaboration we will focus … foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations. Requirements 5+ years of software engineering experience, with a strong focus on infrastructure or platform engineering. Strong production-level Python, including testing, typing, packaging, and dependency management; Bash ...

Description AI Research sits within the Chief Data & Analytics Office (CDAO) at JPMorganChase which is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the firm's data, as well as leveraging this data to generate … production-scale delivery in close collaboration with engineering and product teams. Job responsibilities Work on multiple commercially oriented research projects in collaboration with internal data scientists, applied engineering teams and stakeholders across businesses e.g. Commercial & Investment Banking (including Markets), Asset & Wealth Management, Consumer & Community Banking, etc. Formulate problems, generate ...

About Neo4j:Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment … data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter.Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results ...

technology at Thomson Reuters Labs. We are seeking a Research Engineer who will bring expertise in AI and ML and is interested in building data-driven capabilities that transform the way legal, accounting, and government professionals work across the globe. As a member of Thomson Reuters Labs, you will … interdisciplinary team of experts. We hire engineers and specialists across a variety of AI research areas to drive the company’s digital transformation. The science and engineering of AI are rapidly evolving. We are looking for an adaptable learner who can design with the customer in mind, think ...

working across multiple sectors, tackling social and environmental challenges, improving and simplifying the way markets work, harnessing the power of digital transformation and ensuring data is protected and used ethically. Talan provides a range of consultancy and outsourcing capabilities including programme management, market design and governance. We also have … extensive and award‐winning capabilities across cyber security, data privacy and digital transformation. We are Great Place to Work accredited. The nature of what we do means we are very much a people business. The contribution every member of the team makes to our diverse range of experience, skills ...

funding operations — optimising liquidity positions, managing funding corridors, and ensuring capital is available wherever it's needed. Reporting to the Head of Treasury Analytics & Data Science (London), this London-based (hybrid) role sits at the intersection of LLMs, Treasury operations, and data infrastructure. We're looking … capabilities and agentic tooling to keep the Funding function ahead of the curve. Partner closely with the Treasury Engineering team to develop the data accuracy, completeness, and timeliness required by Treasury AgentsYou Have: Advanced proficiency with coding agents across complex development scenariosExperience architecting multi-service systems, including complex persistence ...

About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment … data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world's largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker ...

designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge … release management infrastructureImplement infrastructure automation (IaC), observability tooling, and secure configuration baselines to support scalable, repeatable environment builds. Work closely with software engineering and data science engineers to ensure they have the tools needed to deliver robust software at pace and scale. REQUIRED QUALIFICATIONSAbility to obtain and maintain ...

trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help … attribution and reporting within the WPP Open platform. This includes the development of visualizations and user experiences to democratize and utilize campaign and performance data, and the development of advanced analytics capabilities to enable Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), Incrementality testing, and Geo-experimentation. Including ...

Developer to help design and deliver the next generation of AI-powered applications for enterprise customers. This isn’t a traditional Machine Learning or Data Science role. They need a strong full-stack software engineer first — someone who knows how to build secure, scalable, production-grade applications … embraced technologies such as LLMs, AI agents, RAG and AI-assisted development. You’ll be joining a fast-moving AI & Data Innovation team, initially helping establish the patterns, standards and approaches the wider business will use to deliver AI-powered software at scale. What you’ll be doing ...

crypto transactions card spends Optimize list sources for sanctions, PEP and adverse media aligned with Ebury’s different compliance frameworks and risk appetite. Use data and research to identify pain points, improve fuzziness scores. Leverage AI to improve screening precision, including risk-based matching, prioritization and alert scoring, suppression … duplication strategies. Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit‐ready. Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds (you are not expected to build machine learning models ...

global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex … strong technical background, excellent problem‐solving abilities, and a passion for helping customers succeed. Essential Requirements Bachelor's degree (or equivalent experience) in Science, Technology, Engineering, Mathematics, or a related field. UK citizenship with the ability to obtain required security clearances for specific UK customer environments. Strong understanding ...

Growth Marketing, and the broader executive leadership team. In this P5 role, you will own the long‐term vision for our marketing data ecosystem, moving beyond project execution to architect frameworks that define our global marketing strategy. From pioneering next‐generation predictive attribution models to unlocking the macroeconomic impact … equity, your governance will dictate Remote’s global investment strategy. What you bring Professional Experience: Distinguished track record in marketing analytics, business intelligence, or data science, with extensive experience specifically embedded in high-growth B2B SaaS or enterprise environments. Architect-Level Attribution: Mastery in designing, scaling, and defending ...

business challenges into intelligent, scalable solutions powered by cutting‐edge AI tools. The Candidate Key attributes of a suitable Senior AI Engineer include: Strong Data Science Foundations – bring solid grounding in statistics and machine learning, along with strong programming skills – Python preferred. Passion for Cutting‐Edge ...

coverage, contributing to our Document Verification offering and enabling secure document verification, fraud prevention, and seamless customer onboarding experiences. Responsibilities Work closely with Applied Science, Product, Design, Data Science, and Operations to deliver highly accurate and performant document classification and extraction solutions across thousands of documents globally. ...

deliver mission critical solutions helping to keep the nation safe, secure and prosperous. Work on leading edge technology solutions in the following disciplines: AI & Data Science, Cyber, Cloud, Big Data, Software Development, DevOps, SRE, Platform Engineering. Role We are looking for an experienced, tenacious and self-motivated ...

GenAI pipelines for image and video generation. Ship a consumer- facing solution within weeks Extensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedback … Minimum Qualifications: Strong background in Machine Learning Strong programming skills in Python or C++ Bachelor’s Degree in a technical field such as computer science, mathematics, statistics or equivalent years of engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking ...

/or feature designs follow usability principles, accessibility standards, and align with the overall product vision. As part of the wider digital and data science roadmap, will lead the design of user experiences in the software that enable machine learning and AI powered features. Will own the planning … agile or cross‐functional teamsAdditional Knowledge & SkillsStrong communication skills for presenting research findings, design rationale, and recommendations to stakeholders. Ability to work with data analytics (e.g., heatmaps, behavioural analytics, conversion metrics) to support UX decisions. Familiarity with information architecture, content structure, and interaction patterns across digital platforms. Familiar with ...

product offering. The job is done when customers experience the benefits of modern technology. What You’ll Do Work closely with Applied Science, Product, Design, Data Science, and Operations to deliver highly accurate and performant document classification and extraction solutions across thousands of documents globally. Lead ...

crypto transactions - card spends Optimize list sources for sanctions, PEP and adverse media aligned with Ebury’s different compliance frameworks and risk appetite. Use data and research to identify pain points, improve fuzziness scores. Leverage AI to improve screening precision, including risk-based matching, prioritization and alert scoring, suppression … duplication strategies. Partner with first line and second line operational and compliance teams to ensure controls are effective, explainable, audit-ready. Partner with Data Science teams on predictive AI models for transactions; model inputs, outputs, and thresholds(you are not expected to build machine learning models ...

solutions. Drive technical excellence: Provide technical leadership in areas with unclear ownership, setting the gold standard for ML quality, reliability, and maintainability. Bridge science and engineering: Work with data scientists and engineers across the global organisation to embed models into high-performance, scalable systems. What You’ll Need … Thrive Essential Significant experience as an ML Engineer or Data Scientist, with a proven ability to write high-quality production code in Python . Demonstrated ownership of productionising Generative AI workstreams or Agentic AI projects, including a deep understanding of LLMs, transformers, and fine-tuning. Proven ability to deploy ...

turn AI-assisted development from individual tool usage into a governed, measurable and repeatable engineering capability. This is not an AI research or data-science role. It is a software-engineering role for someone who understands the full delivery stack and can apply AI effectively across the software … generation, test creation, documentation and release validation. Implement or integrate Model Context Protocol servers and clients to connect agents with approved engineering tools and data sources. Build developer tooling that connects AI capabilities with source control, CI/CD, testing, documentation and observability systems. Define evaluation frameworks and quality ...