1,226 to 1,250 of 3,075 Data Science Jobs in England

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 ...

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 … frontend, PostgreSQL, and GitOps deploymentDesign scalable backend systems (APIs, event handling, clean architecture patterns)Deliver high‐quality frontend experiences with accessible components and strong data/state managementWork with cloud‐native, declarative infrastructure (Kubernetes, Crossplane, CRDs)Maintain high standards across testing (unit, integration, contract) and code qualityApply strong security ...

growing, SMEs need finance that’s as flexible and responsive as they are. That's why we built the company. 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 it's needed. … focus on the hard parts: complex architecture, rigour and high-stakes decisions. Bonus: Commercial experience with Python frameworks like Django. Experience with complex data architectures, including event-sourced data models. The salary We expect to pay from £80,000 - £110,000 for this role. We routinely benchmark salaries ...

robust, scalable ML 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 … ThriveEssentialSignificant 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 and manage models using modern ...

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 ...

hackajob is partnering directly with Dunnhumby to hire for this role. 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 … PostgreSQL, and GitOps deployment Design scalable backend systems (APIs, event handling, clean architecture patterns) Deliver high quality frontend experiences with accessible components and strong data/state management Work with cloud native, declarative infrastructure (Kubernetes, Crossplane, CRDs) Maintain high standards across testing (unit, integration, contract) and code quality Apply ...

payment rails (i.e. stablecoins ), tackling fraud is becoming a critical part of our strategy.You will be working closely with Operations, Compliance, Engineering, Data and Security teams. This is a unique opportunity to make a significant impact on our security posture, drive innovation, and work at the forefront of fraud … stablecoins)- crypto to crypto transactions, card spends, internal processes and customer journeysStakeholder managementPartner with operational and compliance teams to ensure controls are effective.Partner with Data Science teams on predictive AI models for customers journeys and transactions; model inputs, outputs, and thresholds (you are not expected to build machine ...

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 … focus on the hard parts: complex architecture, rigour and high-stakes decisions.Bonus:Commercial experience with Python frameworks like Django.Experience with complex data architectures, including event-sourced data models.The salaryWe expect to pay from 80,000 - 110,000 for this role. But, we’re open-minded, so definitely include ...

what generates great customer outcomes. Our Customer Leads are working with clients on the smooth rollout and adoption of our software through expert data, communication, project management and collaboration skills, often across more than one customer at a time depending on project stage. After rollout, responsibilities shift to maximising … Customer health and retention (renewal readiness, identified expansion opportunities) Overall customer satisfaction and sentiment Required Experience Master's degree in industrial engineering, operations research, data science or a manufacturing-related field preferred; or a bachelor's with equivalent relevant experience. 4+ years of experience in a field related ...

their strategic agendas. From leadership and workforce evolution, to AI and emerging technologies, to energy resilience and decarbonization, and beyond, Deloitte Insights (DI) publishes data-driven thought leadership for global C-suite and board-level executives across industries.As a global senior editor and content strategist covering technology … Deloitte Insights, you’ll work with AI and tech subject matter specialists, researchers, data science and visualization professionals, designers, video strategists, and production specialists to develop research and insights projects ranging from reports and articles to infographics and videos. Your responsibilities will include:Leveraging your own subject matter ...

their strategic agendas. From leadership and workforce evolution, to AI and emerging technologies, to energy resilience and decarbonization, and beyond, Deloitte Insights (DI) publishes data-driven thought leadership for global C-suite and board-level executives across industries.As a global senior editor and content strategist covering technology … Deloitte Insights, you’ll work with AI and tech subject matter specialists, researchers, data science and visualization professionals, designers, video strategists, and production specialists to develop research and insights projects ranging from reports and articles to infographics and videos. Your responsibilities will include:Leveraging your own subject matter ...

their strategic agendas. From leadership and workforce evolution, to AI and emerging technologies, to energy resilience and decarbonization, and beyond, Deloitte Insights (DI) publishes data-driven thought leadership for global C-suite and board-level executives across industries.As a global senior editor and content strategist covering technology … Deloitte Insights, you’ll work with AI and tech subject matter specialists, researchers, data science and visualization professionals, designers, video strategists, and production specialists to develop research and insights projects ranging from reports and articles to infographics and videos. Your responsibilities will include:Leveraging your own subject matter ...

with an established global software business making a major investment into Applied AI and Generative AI across its product portfolio. This is not a Data Science or research position. Theyre looking for Software Engineers and Senior Software Engineers who are strong product developers first particularly within C#/ ...

with an established global software business making a major investment into Applied AI and Generative AI across its product portfolio. This is not a Data Science or research position. Theyre looking for Software Engineers and Senior Software Engineers who are strong product developers first particularly within C#/ ...

with an established global software business making a major investment into Applied AI and Generative AI across its product portfolio. This is not a Data Science or research position. Theyre looking for Software Engineers and Senior Software Engineers who are strong product developers first particularly within C#/ ...

with an established global software business making a major investment into Applied AI and Generative AI across its product portfolio. This is not a Data Science or research position. Theyre looking for Software Engineers and Senior Software Engineers who are strong product developers first particularly within C#/ ...

Language Model (LLM) tools and their application within software development.Exposure to cloud-native development concepts such as microservices, containers or cloud platforms.Degree in Computer Science, Engineering, Data Science or equivalent experience.Understanding of how AI tools can support software engineering, specification development and delivery workflows.Awareness of responsible ...

management consultants with diverse analytical skills, industry experience and banking backgrounds. Our team comprises experts in financial analysis, economics, quantitative modelling, and data science, with experience drawn from both industry and advisory backgrounds in strategy, finance, treasury, risk, regulatory, commercial, and operational domains.Over the past three years … design and implementation of integrated balance sheet, liquidity, funding, and capital management frameworks.We drive large-scale transformation through content-centric programme leadership, augmented by data analytics, automation, and AI.Our approach is highly collaborative, often working in multi-disciplinary teams alongside other Deloitte practice areas and Service Lines to deliver ...

lead C# developer, but also the opportunity to take ownership of your work and to work closely with our wider team of data scientists, actuaries and industry specialists. Overall, the role offers an exciting blend of technical development and industry application, providing a fertile ground for professional growth … control and SOLID principles Exposure to or keen interest in the non-life insurance analytics domain, with a willingness to bridge technology and actuarial science to deliver impactful solutions Effective communication skills, capable of articulating technical concepts to diverse audiences and collaborating constructively within cross-functional teams A problem ...

Location: Hybrid/Monument St, London EC3R 8AJ, UK job type: Permanent/Full-time Sector and subsector: IT | Data Engineer Salary: Competitive salary Platform Architecture & Engineering responsibilities: Design and implement scalable Databricks Lakehouse platforms on AWS and/or Azure aligned to client requirements Architect … data platforms including ingestion, storage (Delta Lake), processing, and consumption layers Build and configure cloud infrastructure using infrastructure-as-code (e.g. Terraform & Declarative Automation Bundles(DAB's)) Establish secure, compliant environments including networking (VNet/VPC, Private Link), identity (IAM/Entra ID), data governance (Unity Catalog ...

drive roadmap and delivery for offline data infrastructure supporting Home and Health. Improve data access for subs/growth, agentic access, etc. including logging, observability, debuggability requirements.Own and drive roadmap and delivery for experiments infrastructure supporting Home and Health. Improve the velocity of experiment design, configuration, analysis … more complex/nuanced experiments (multi-arm) to support product innovation and decision-making.Set key product metrics and Key Performance Indicators (KPIs) for offline data and experiments infrastructure.Define and ship analytics back-ends that process data and turn it into useful insights. Consolidate logging systems that works across ...

etc.). Experience integrating generative Artificial Intelligence (AI) tools or Large Language Model (LLM) interfaces into workflows. Preferred qualifications: Experience in data infrastructure and analytics, software experimentation systems, or both. Familiarity with AI/ML infrastructure. Excellent communication skills (e.g,, written, verbal). Strong cross-functional and cross-organizational … collaboration skills, especially with engineering and data science. Adept at using AI tools to amplify Product Manager (PM) impact. Responsibilities: Own and drive roadmap and delivery for offline data infrastructure supporting Home and Health. Improve data access for subs/growth, agentic access, etc. including logging, observability ...

responsible for designing, deploying and optimising machine learning models, LLM‐powered applications and agentic AI workflows within Microsoft Azure. Working alongside platform engineers, data scientists and data engineers, you'll help move AI from experimentation into secure, scalable products that deliver real business value. This is an engineering … deployment, monitoring, governance and lifecycle management. RAG, vector databases, prompt engineering and tool‐calling patterns. Building end-to-end AI/ML pipelines from data preparation through to production. Working with technical and business stakeholders to deliver AI solutions. Desirable experience includes MLflow, MCP, Docker, Kubernetes, GitLab CI/ ...

looking for an Analytics Platform Engineer to help design, develop and enhance a modern analytics platform that supports the delivery of business-critical data solutions. This role will see you building and maintaining scalable platform capabilities, troubleshooting existing services, and providing technical support to Data Scientists and MLOps … support. Develop new platform capabilities while enhancing and maintaining existing analytics solutions. Troubleshoot technical issues, implement improvements and optimise platform performance. Collaborate closely with Data Scientists, MLOps Engineers and other technical teams to deliver reliable, secure and high-performing solutions. Adapt to a varied workload, solving complex engineering challenges ...

looking for an Analytics Platform Engineer to help design, develop and enhance a modern analytics platform that supports the delivery of business-critical data solutions. This role will see you building and maintaining scalable platform capabilities, troubleshooting existing services, and providing technical support to Data Scientists and MLOps … support. Develop new platform capabilities while enhancing and maintaining existing analytics solutions. Troubleshoot technical issues, implement improvements and optimise platform performance. Collaborate closely with Data Scientists, MLOps Engineers and other technical teams to deliver reliable, secure and high-performing solutions. Adapt to a varied workload, solving complex engineering challenges ...