1,801 to 1,825 of 3,142 Data Science Jobs in England

stage, improving detection quality, reducing unnecessary alerts, strengthening investigation workflows and scaling the platform for new products and customer segments.This is a high-impact, data-intensive platform role where success is measured through stronger risk coverage, better detection precision and materially less manual work.What you'll doOwn the product … strategy, roadmap and outcomes for AML transaction monitoring.Lead the lifecycle of monitoring controls, from risk hypothesis and data assessment through design, testing, calibration, deployment and ongoing performance management.Use rules, analytics, machine learning and LLM-based techniques to improve detection while reducing false positives.Improve the case-management and decision-support ...

initiativesExperience collaborating with senior stakeholders across technology, product, and business divisionsExcellent communication skills at all organizational levelsCapability to work cross-functionally with architecture, product, data science, proposition, and project management teamsWho you’ll be working withSoftware Engineers, Software Architects, Data Scientists, Product Managers, Project/Delivery Managers … next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. ...

trading strategies and analytical capabilities across the Agricultural business. The Agricultural Trading department combines deep discretionary market expertise with modern quantitative research, technology and data science to provide liquidity, manage risk and identify trading opportunities across global agricultural markets. The desk has direct access to the major agricultural … more information visit https://www.marex.com/Role Summary An analytical, commercially minded and proactive quantitative professional with experience applying statistical and data-driven techniques within financial markets. Joining a front-office trading team that combines discretionary market expertise with systematic research and alternative datasets, the successful candidate ...

envision its most powerful applications, and to make them happen.About the teamBringing medicine to patients is complex, expensive and high-risk. Faculty’s Life Science’s team is concentrated on building AI solutions which optimise the research and commercialisation of life-changing therapies.We partner with major pharma firms, academic … backbone of applied artificial intelligence for our customers. You will design, build, and deploy robust, secure, and scalable cloud infrastructure that powers cutting-edge data and machine learning workflows. Working in a cross-functional team, you'll solve complex challenges and empower our data scientists and ML engineers ...

growing team that focuses on behavioural modelling of the Bank’s evolving balance sheet. We are at the intersection of Finance, Risk and Data Science, combining aspects of all three disciplines in our work and acting as technical experts with deep financial and programming skills.The IRRBB team …/or behavioural modellingKnowledge of Treasury functionality in highly preferredGraduate level education with a numerical degree (e.g. Maths, Physics, Economics)Strong technical skills of data handling and manipulationExcellent programming knowledge, particularly in Python and SQLThe desire to use both traditional statistical modelling and applied machine learning A problem solver ...

London, United KingdomDelta/Full-time/HybridA World-Changing CompanyPalantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate … communication and interpersonal skills, with the ability to work effectively in multi-functional teamsWhat We RequireStrong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data ScienceStrong coder with shown proficiency in programming languages such as Java, Go, Python, JavaScript, or similar languagesSecurity ...

maintaining NHS England's alignment with government policy and industry best practice.You will apply technical expertise and creative problem-solving to protect patient data, support safe care, and maintain public trust.About usNHS England has a wide range of statutory functions, responsibilities and regulatory powers. These are focused on supporting … care, as well as doing those things that are best done once for the whole NHS.Our staff bring expertise across clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial specialisms -- enabling us to design and deliver high-quality NHS services.In March 2025, the Government ...

maintaining NHS England's alignment with government policy and industry best practice.You will apply technical expertise and creative problem-solving to protect patient data, support safe care, and maintain public trust.About usNHS England has a wide range of statutory functions, responsibilities and regulatory powers. These are focused on supporting … care, as well as doing those things that are best done once for the whole NHS.Our staff bring expertise across clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial specialisms -- enabling us to design and deliver high-quality NHS services.In March 2025, the Government ...

About Us We are a world-class visitor attraction and leading science research centre. We use the Museum's unique collections and our unrivalled expertise to tackle the biggest challenges facing the world today. We care for more than 80 million objects spanning billions of years and welcome more … platform that powers SCRIBE (Structured Collection Records Interpretation and Bio-entity Extraction). This role sits within the AI & Informatics team in the Digital, Data & Informatics (DDI) division at the Natural History Museum. You’ll work closely with machine-learning researchers and domain experts across UK institutions, but your ...

maintaining NHS England's alignment with government policy and industry best practice. You will apply technical expertise and creative problem-solving to protect patient data, support safe care, and maintain public trust. About us NHS England has a wide range of statutory functions, responsibilities and regulatory powers. These … well as doing those things that are best done once for the whole NHS. Our staff bring expertise across clinical, operational, commissioning, technology, data science, cyber security, software engineering, education, and commercial specialisms -- enabling us to design and deliver high-quality NHS services. In March 2025, the Government ...

against each other. You should also be comfortable enough with computer vision (CNNs, vision transformers, detection and segmentation methods) to push back on a data science team's approach when needed. Day to day, you'd be: Taking ownership of the model lifecycle - pipelines, registry, versioning, CI/…/SQS Comfortable working across TOGAF, ArchiMate, C4, UML and BPMN Hands-on with MLOps tooling and platforms - SageMaker, OpenVINO or equivalent Experience architecting data for large volumes of imagery - tiering, retention, lineage, provenance Familiar with the governance side of AI - DPIAs, model documentation, bias and fairness checks Strong ...

SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience … society in around 160 countries worldwide.Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.As an international company, our common culture is defined ...

explain technical topics clearly to varied technical audiences.Good organization, attention to detail, and strong delivery discipline.Degree in a relevant subject such as Computer Science, Software Engineering, Artificial Intelligence, Data Science, Electronic Engineering, Computer Engineering, or equivalent technical experience.Desirable experienceExperience with AI workloads, edge AI, cloud AI infrastructure ...

keep going, and growing, SMEs need finance that’s as flexible and responsive as they are.That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when … analysts to assess our customers in a fast, fair and accurate way.The roleTo assess credit applications - you’ll use your experience, a variety of data sources and our tech platform to make fast, fair and accurate decisions.You’ll have autonomy in decisioning, the scope of which will increase over ...

economic capital You will maintain a deep understanding of, and be responsible for the challenging of, the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the BAU models, helping to create and deliver the effective communication required to bridge the gap between … Operational Teams and fellow Asset Risk output owners You will play a pivotal role in ensuring the AR Operational Teams (Programme, Product, Modelling and Data) work closely with each other to support on cross over areas (e.g. tools) and reduce the opportunity for knowledge gaps You will ...

strategy to integrate the NVIDIA platform into these company’s products. Develop and maintain deep technical expertise in agentic AI systems, open models, data science applications, and GPU-accelerated computing. Serve as the trusted technical advisor, problem solver, and champion for the developers within the software companies … NVIDIA platform into software company’s products. What We Need to See Bachelor’s or Master’s degree or equivalent experience in Computer Science, Engineering, or a related field. A minimum of 8+ years of overall professional experience in the technology industry in software engineering, developer relations, technical partnerships ...

deploying, testing, and validating software on autonomous systems in dynamic, operationally relevant settings. You will collaborate closely with software engineers, autonomy engineers, perception teams, data scientists, and field operators to ensure systems are robust, reliable, and ready for deployment. At Applied, you will: Define system requirements from user needs … deploy and optimize perception pipelines (Vision, Radar, Fusion) and vehicle autonomy SW, ensuring robust and safe vehicle operation Address inter‐vehicle communication, ensuring seamless data exchange between vehicles for collaborative autonomous operations Leverage simulation environments to test vehicle systems, validating software behavior in various scenarios before field deployment Collaborate ...

platform constraints and align technical solutions with organizational standards.Foster collaboration across internal and global teams.Required Skills:5-8 years of hands-on experience in Data Science, Data Engineering, AI/ML, or related fields.Proven experience delivering Generative AI solutions in enterprise environments.Demonstrated success leading AI programs ...

working across multiple sectors, tackling social and environmental challenges, improving and simplify 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 ...

global cybersecurity P&L. Collaboration, both within our team and with other parts of the business (such are Strategic Communications, Technology and Data Science), are central to how we operate. Our engagements typically draw on expertise from across our business and geographies.After a period of extensive growth … into Incident Reports for wider consumption.* Experience using EDR tools such as SentinelOne, Carbon Black etc.* Knowledge of Chain of Custody procedures.* Understanding of data loss/data theft prevention concepts and technologies.* Threat modeling fundamentals.Preferred Qualifications* Certifications related to DIFR, i.e., GCFE, GCFA, GREM, GNFA ...

applicable Strong mathematical and analytical skills - ability to build and run models and scenarios Advanced Microsoft Excel skills (including financial modelling, scenario tools, and data manipulation) Experience of interest income forecasting or similar financial forecasting Excellent communication and presentation skills, with the ability to explain complex analysis clearly … experience working within, CASS and MIFIDPRU regulatory requirements Experience working with FIS Integrity or a comparable Treasury Management System Familiarity with AI or data science tools (e.g. Python, Power BI, or equivalent) applied to finance or risk Experience working at a retail investment platform, wealth manager, or similar ...

models to enable our customers to build better, faster, and cheaper. As a member of the delivery team, you’ll work directly with customers, data scientists, and machine learning engineers to develop applications that change the way advanced engineering is done. We’re looking for someone who can grasp … problems and build applications that change the way they do engineering. What a day might look like Collaborate with cross-functional teams: Collaborate with data scientists and machine learning engineers to ship physics models to our customers in a way that delivers maximum value. Work with designers and front ...

merchants.When you join us, you’ll be equipped with powerful, cutting-edge internal AI tools designed to supercharge your onboarding-learning curve, data analysis, help automate repetitive tasks, and surface deep insights instantly. This means more time doing what you do best: solving complex problems, innovating, and driving massive … payment optimization consultants for Airwallex’s global merchants. You’ll sit at the heart of our ecosystem, collaborating with Account Managers, Product Teams, and Data Scientists to uncover hidden opportunities, master fraud mitigation, and skyrocket transaction success rates.Key Responsibilities Uncover Insights: Leverage massive datasets and industry trends to identify ...

customer solutions. Why This Role Stands Out This is not an AI research role, and you do not need years of machine-learning or data-science experience. It is a customer-facing architecture and consulting role for someone who understands Microsoft technology, business processes and how to design … Producing solution designs, implementation plans and technical recommendations Architecting Copilot agents and intelligent automation solutions Connecting Microsoft AI solutions with enterprise systems, APIs and data sources Guiding delivery teams through build, testing and deployment Advising customers on governance, security, compliance and responsible AI Helping organisations develop AI roadmaps ...

dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value … product portfolio, ensuring choices support product strategy, client needs, scalability and long-term commercial outcomes.Provide deep technical and architectural leadership across software architecture, data-intensive systems, engineering practices, quality, security, reliability and operational resilience. Maintain sufficient proximity to the technology to assess complex systems, significant decisions, risks and trade ...