1,551 to 1,575 of 4,568 Data Science Jobs in the UK

Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm’s data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. … products, improve productivity, and enhance risk management effectively and responsibly.As an Applied AI ML Director - NLP/LLM and Graphs within the Chief Data & Analytics Office, Machine Learning Centre of Excellence, you will have the opportunity to apply sophisticated machine learning methods to complex tasks including natural language processing ...

regulatory compliance capabilities, all while balancing risk mitigation and providing a seamless user experience. Our team partners closely with cross-functional groups, including Engineering, Data Science, Compliance, and Risk Operations, to drive strategic initiatives that protect our business while fostering growth. About the RoleTrust is foundational … either lead a vertical fraud team protecting Consumers, Couriers or Merchants, or lead a horizontal fraud platform team focused on building our Risk Engine, Data Signals Intelligence and Automation/Anomaly Detection capabilities or leading compliance and authenticity efforts involving Identity Verification and Right to Work. The Fraud team ...

research in areas of Machine Learning, Deep Learning or Reinforcement Learning at a major conference or journal PhD in a quantitative discipline, e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science with reasonable industry experience, or an MS with significant industry or research experience … with business goals Hands on experience building and deploying agentic AI/multi‐agent systems within regulated or compliance‐driven environments Experience with big data and solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences. Scientific thinking with the ability ...

meet organizational automation objectives. Direct the creation of Python-based and Agentic AI tools aimed at automating extensive repetitive tasks like combining various data sources, producing reports, and system reconciliation. Conduct detailed reviews of automation code developed by team members, providing constructive feedback and ensuring adherence to guidelines … high-level Python skills. Strong communication skills, able to work independently and in a team-oriented environment. Experience working with a wide range of data sources, including multiple ERP systems and legacy environments. Ability to set and accomplish goals. Outstanding organizational skills. Excellent interpersonal skills required. High level ...

ourhighly availablemicroservice architecture, including being part of an on-call rotation. Adaptable & Problem-Solver : Tackle varied and challenging problems daily, showing flexibility, a data-driven focus on quality, and an ability to learn new skills quickly. Ownership & Quality : Take responsibility for tasks, from building new functionality to developing automated … speed and grow your skills. Minimum Qualifications: Analytical Degree : Bachelor's or higher degree in an analytical subject (e.g. Computer Science, Engineering, Maths, Physics). Coding Aptitude :3+ years ofprogramming experiencein Rust orC++ and the willingness to learn new languages quickly.Withtheexpectation tocontributeacrossRust/Java/C++/Pythoncodebases asrequired. ...

evolving threatsusing ground-breaking technology. Key Responsibilities Decompose high-level features/requirementsinto user stories, acceptance criteria, and clear backlog prioritization. Collaborate with engineering, data science, andsolutions teamsto deliver high-quality TM features (real-time and batch pipelines,detection analytics,alert scoring,alert/case creation, feedback loops … release validation. Monitor metrics (alert volumes, false positives, investigator throughput, conversion rates) and iterate tooptimize. Manage dependencies with external systems (watchlists, screening, sanctions feeds, data enrichment, client data ingestion). Create or update product documentation, user guides, runbooks, and support internal teams (sales, services, support). Stay current ...

Principal Analytics Platform Engineer's to join their growing team. This is an exciting opportunity to work on high-impact projects involving cloud migration, data management and the development of robust analytics platforms supporting mission-critical solutions. You’ll play a key role in designing, building, testing and evolving … scalable analytics hosting platforms, while also providing hands‐on engineering support to Data Scientists and MLOps teams. The role offers plenty of variety, with the opportunity to work across a broad range of technologies and tackle complex technical challenges. You’ll need to be comfortable operating in environments where ...

requirements Monitor compliance with governance and control requirements and engage stakeholders to remediate issues Partner closely with subject matter experts in AI/ML Data Science, Architecture & Engineering and Data to identify areas for process improvement Enhance and streamline AI/ML governance by helping to define … implement the strategic roadmap for firmwide and CIB governance tooling Required qualifications, capabilities and skills: Strong data analysis and problem‐solving skills Attention to detail and ability to work independently Strong verbal, written, presentation and communication skills, including use of Excel and PowerPoint Hands on experience using Tableau ...

from technical design through production deployment and ongoing operation with limited supervision Hands‐on experience with cloud-native technologies, serverless applications, event‐driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelines Solid understanding of algorithms, data structures, scalability, reliability, performance optimization … from technical design through production deployment and ongoing operation with limited supervision Hands‐on experience with cloud-native technologies, serverless applications, event‐driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelines Solid understanding of algorithms, data structures, scalability, reliability, performance optimization ...

sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations. How does this role contribute to our collective success? Data and analytics are of critical importance for AXIS. We turn data into information so the business can make decisions with confidence, identify opportunities … early, and operate more efficiently. The Lead Applied Scientist is the senior scientific authority in the Data Science and AI Delivery team and is responsible for the quality of the AI the team produces, much of which now uses large language models and agentic approaches. The role leads ...

About Sigmoid Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. … Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. The below role is for our Bengaluru office. Job Description ...

About Sigmoid Sigmoid enables business transformation using data and analytics, leveraging real-time insights to make accurate and fast business decisions, by building modern data architectures using cloud and open source. Some of the world’s largest data producers engage with Sigmoid to solve complex business problems. … Sigmoid brings deep expertise in data engineering, predictive analytics, artificial intelligence, and DataOps. Sigmoid has been recognized as one of the fastest growing technology companies in North America, 2021, by Financial Times, Inc. 5000, and Deloitte Technology Fast 500. The below role is for our Bengaluru office. Job Description ...

circuits, packaging, printed circuit boards and flat panel displays. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem-solvers design solutions that move the world forward. Job Description/Preferred QualificationsAs a Software Engineering Manager on this team … measurement instruments. You will be responsible for both people leadership and technical direction spanning embedded firmware, Windows desktop applications, software architecture, and measurement and data-analysis algorithms, leveraging cutting-edge technologies and the latest advancements in software engineering and AI/ML/DL. You will partner closely with ...

unmanned technology, where cutting-edge advancements meet unparalleled innovation. Digital | Defence | Security | Space We operate across four strategic areas, combining artificial intelligence, systems engineering, data science, and aerospace technology to tackle global challenges — from protecting people and critical infrastructure to exploring space. We offer a unique surveillance … Engineer to join our Sensing team. You'll integrate third-party sensors — including military-grade sensing payloads — into our platforms, build and tune the data/sensor fusion and geolocation plugins of our pipelines, meant to turn raw detections into reliable tracks, and ship production C++, Rust and ROS2 ...

Principal Analytics Platform Engineer's to join their growing team. This is an exciting opportunity to work on high-impact projects involving cloud migration, data management and the development of robust analytics platforms supporting mission-critical solutions. You'll play a key role in designing, building, testing and evolving … scalable analytics hosting platforms, while also providing hands-on engineering support to Data Scientists and MLOps teams. The role offers plenty of variety, with the opportunity to work across a broad range of technologies and tackle complex technical challenges. You'll need to be comfortable operating in environments where ...

across Optimizely’s product suite. Conduct rigorous testing and validation of new statistical methods and ensure seamless integration into the platform. Analyze product performance data to optimize existing features and provide actionable recommendations for improvement. Leverage AI agents to deploy new statistical capabilities. Research and Innovation Partner with academic … teams to offer statistical expertise during customer onboarding and key engagements. Serve as a statistical advocate within the organization, fostering a culture of rigorous data-driven decision-making. Collaborate with marketing teams to showcase Optimizely’s statistical capabilities in external communications. Knowledge and Experience 3+ years of industry ...

into production. Using various LLM models with latest approaches (agentic, context engineering) to solve challenging problems Work end-to-end on ML solutions: from data preparation and evaluation, deployment, and monitoring Develop text representation and semantic extraction pipelines for structured knowledge from unstructured data Collaborate with product teams … domain experts to integrate LLM features into our SaaS platform QualificationsMust-Have Qualifications Master's degree in Computer Science, Data Science, Computational Linguistics, or related field Hands-on experience with LLM techniques for text representation and semantic data extraction Knowledge on best practices and Evaluation techniques ...

exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingLendable is revolutionising the credit card industry by making financial tools accessible, intuitive … serve, how we grow, and how we deliver sustainable value. Your impactDrive promotions & pricing strategy: Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. Build deep ...

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 Lendable is revolutionising the credit card industry by making financial tools accessible … serve, how we grow, and how we deliver sustainable value. Your impact Drive promotions & pricing strategy: Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. Build ...

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 Lendable is revolutionising the credit card industry by making financial tools accessible … serve, how we grow, and how we deliver sustainable value. Your impact Drive promotions & pricing strategy: Develop and optimise promotional and pricing strategies through data-driven analysis and experimentation, balancing customer engagement, growth, price elasticity and profitability while continuously refining approaches based on product performance and scenario modelling. Build ...

Case Evaluation: You will identify and assess new AI use cases and integrate them into existing business processes. Teamwork: You will collaborate closely with data scientists, data engineers, and software developers to develop and scale AI solutions. Optimisation: You will evaluate and optimize existing AI models in terms … workloads to ensure cost efficiency. Your profileYou have a solid background in software development and practical experience in generative AI, machine learning, or data-driven projects. You are proficient in programming languages such as Python, Java, TypeScript, and Go, and have experience with REST APIs and databases. You understand ...

from technical design through production deployment and ongoing operation with limited supervision Hands-on experience with cloud-native technologies, serverless applications, event-driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelines Solid understanding of algorithms, data structures, scalability, reliability, performance optimization … challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use Education Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience Responsibilities Designs, builds, and operates the services and AI-powered features behind Moody's intelligent ...

dashboards, reports and analytical products. Deliver workforce forecasting, trend analysis and workforce research. Support evidence-based workforce planning and organisational decision-making. Improve workforce data quality and reporting standards. Coordinate implementation and embedding of the Resource Management Operating Model (RMOM). Develop governance arrangements, processes and operating procedures. Support … from workforce planning outputs. Support workforce capability development priorities and implementation activities. Provide specialist advice to senior stakeholders. Skills and Qualifications: Degree in Business, Data Science, Economics, Statistics, Finance or any related fields (i.e. Mathematics, Engineering), or equivalent practical experience. Significant experience leading Strategic Workforce Planning within ...

first credit products. In this role you’ll partner closely with a high performing global team consisting of the product lead, engineers, data scientists and designers to deliver a world class credit product. You will be expected to be hands on with the data and grow a small … team of analysts as the product scales. What You’ll Do Partner with Data Science to challenge and stress-test credit risk modelling assumptions for our SME customers (including scenario and sensitivity testing), ensuring decisions are robust and explainable. Leverage market insights and publicly available data ...

clinical judgement to work with stakeholders to develop ML and agentic systems to drive transparent and actionable recommendations. You’ll integrate multi‐source data - historical trials and scientific datasets into production systems to improve the process of designing clinical trials and increase their probability of success. … know why a particular Phase II endpoint gets chosen, what makes an inclusion criterion unworkable at site level, or how messy real-world data actually is when you try to use it — and you have since started teaching yourself to build with Python, ML and LLMs — you are exactly ...