2,476 to 2,500 of 3,209 Data Science Jobs in England

join our high profile client.Our client is a well-known technology driven hedge fund, they are known to leverage innovations in technology and data science given them an edge in capital markets. This mid-level role sits in a new Quant Technology.The successful technologists will be interested ...

address client concerns, while autonomously exploring new areas of product growth.Job responsibilitiesGenerate daily valuations of derivative securities for multiple market closes, including market data collection, price generation, quality control, and client queries.Create cutting-edge methodologies, pricing models, and infrastructure to increase accuracy and speed of valuations.Communicate with trading desks … close collaboration with the sales team.Required qualifications, capabilities, and skillsFirm understanding of derivatives principles, including pricing, risk and most common vanilla strategies.Good knowledge of data science principles, with software development skills in Python and Excel VBA as well as high aptitude for learning new technologies.Ability to collect ...

communities recover after major storms.Until now, insurers have been making billion-dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more … what we do - from building the world’s first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates.What makes hx different is the people who build it. Here, impact isn’t tied ...

experts and technical engineering leads. A team player who can bring everyone together to provide cohesive recommendations. We're also looking for good data and AI literacy and proactiveness — you don't need to be technically proficient in data science or AI tools, but you should … comfortable interpreting data to support your recommendations, and genuinely curious about how AI and emerging technologies could shape client solutions or the way we work. We want someone who asks good questions and stays current, rather than someone who can build the models themselves. A curious, flexible, and solution ...

cloud-native technologies. Responsibilities Technical Leadership Design and operationalize advanced detections across cloud, container, and on-prem environments. You will build integrations for diverse data sources (e.g., Wiz, host telemetry, network sensors) into EA's detection infrastructure. You will define detection lifecycle processes governance, and performance metrics. Lead development … Chain, NIST CSF). Experience with cloud security platforms (e.g., Wiz) and integrating their outputs into detection pipelines. Background in AI/ML or data science applied to cybersecurity detections. Understanding of cloud-native architectures, container security, and host-based detection. Experience leading PoCs or greenfield development plans ...

recover after major storms. Until now, insurers have been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more … what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact ...

high profile global quantitative hedgefund client.Our client is a well-known Quantitative hedgefund, they are committed to leveraging innovations in technology and data science to solve complex problems. This I a new expansionary role in London due to an increase in quantitative commodities, Fixed Income (and a small ...

role:Translate enterprise strategy into a clear, phased platform roadmaps.Partner closely with architecture and engineering to shape platform strategy.Partner with Fraud Operations, Risk, and Data Science teams to ensure the platform proactively responds to emerging fraud vectors and regulatory requirements.Establish platform guardrails and adoption criteria.Ensure platform capabilities support … platform products in complex, multi-brand or multi-market environmentsExperience balancing commercial outcomes with technical constraints and regulatory requirementsStrong stakeholder management across Engineering, Architecture, Data, Fraud, Security and ComplianceData-led decision making across performance, cost and fraud metricsUnderstanding of fraud prevention approaches (rules engines, tooling, machine learning signals)Experience ...

role:Translate enterprise strategy into a clear, phased platform roadmaps.Partner closely with architecture and engineering to shape platform strategy.Partner with Fraud Operations, Risk, and Data Science teams to ensure the platform proactively responds to emerging fraud vectors and regulatory requirements.Establish platform guardrails and adoption criteria.Ensure platform capabilities support … platform products in complex, multi-brand or multi-market environmentsExperience balancing commercial outcomes with technical constraints and regulatory requirementsStrong stakeholder management across Engineering, Architecture, Data, Fraud, Security and ComplianceData-led decision making across performance, cost and fraud metricsUnderstanding of fraud prevention approaches (rules engines, tooling, machine learning signals)Experience ...

lead the development of a next-generation retail insight platform, combining advanced analytics with real-world commercial decision-making. This is not a typical data science role!About the roleThis Knowledge Transfer Partnership (KTP) brings together The Tapestry Agency, a leading retail analytics consultancy, and the University … exciting combination of expertise in business and marketing strategy to develop an AI-powered retail insight platform that unifies a retailer’s consumer data, providing affordable, real-time, strategic recommendations. The project will democratise access to advanced analytics for UK retailers, supporting growth, competitiveness, and productivity while enabling Tapestry ...

enterprise strategy into a clear, phased platform roadmaps. Partner closely with architecture and engineering to shape platform strategy. Partner with Fraud Operations, Risk, and Data Science teams to ensure the platform proactively responds to emerging fraud vectors and regulatory requirements. Establish platform guardrails and adoption criteria. Ensure platform … platform products in complex, multi-brand or multi-market environmentsExperience balancing commercial outcomes with technical constraints and regulatory requirementsStrong stakeholder management across Engineering, Architecture, Data, Fraud, Security and ComplianceData-led decision making across performance, cost and fraud metricsUnderstanding of fraud prevention approaches (rules engines, tooling, machine learning signals)Experience ...

enterprise strategy into a clear, phased platform roadmaps. Partner closely with architecture and engineering to shape platform strategy. Partner with Fraud Operations, Risk, and Data Science teams to ensure the platform proactively responds to emerging fraud vectors and regulatory requirements. Establish platform guardrails and adoption criteria. Ensure platform … platform products in complex, multi-brand or multi-market environmentsExperience balancing commercial outcomes with technical constraints and regulatory requirementsStrong stakeholder management across Engineering, Architecture, Data, Fraud, Security and ComplianceData-led decision making across performance, cost and fraud metricsUnderstanding of fraud prevention approaches (rules engines, tooling, machine learning signals)Experience ...

company – Lead AI Solutions Engineer About the job the company delivers digital workers for analytics & data science, transforming the way enterprises automate complex analytics workflows. Our AI agents act as always-on digital workers, eliminating the need for fragmented tools, consultants, and seat licenses. Trusted by industry leaders ...

Quantitative Finance, Statistics, or a relevant scientific field or relevant work experience Strong mathematical knowledge of financial derivatives pricing and risk management models Good data science experience C++/C#/Java or Python programing skills Experience with SQL Solid numerical programming abilities Excellent attention to detail with ...

because our product is customer‐facing, building and maintaining reliable, trustworthy systems is central to what we do. You will work alongside the lead Data Science/AI engineer and report to the Head of AI Product — both of whom are hands‐on developers, so this is very … prompt engineering, evaluation and governance patterns) Experience with React/Next.js and modern web tooling. Familiarity with document/NoSQL stores (e.g. MongoDB) and data pipelines. Experience with deployment, Docker, logging and configuration. Understanding of the internal Marsh Tech landscape — OSS2, networking, the Voyager process, and similar ...

because our product is customer-facing, building and maintaining reliable, trustworthy systems is central to what we do. You will work alongside the lead Data Science/AI engineer and report to the Head of AI Product — both of whom are hands-on developers, so this is very … prompt engineering, evaluation and governance patterns) Experience with React/Next.js and modern web tooling. Familiarity with document/NoSQL stores (e.g. MongoDB) and data pipelines. Experience with deployment, Docker, logging and configuration. Understanding of the internal Marsh Tech landscape — OSS2, networking, the Voyager process, and similar ...

level economics to shape structure and bids. Lead the Daily Trading Room: identify opportunities, isolate issues, and deploy rapid interventions. Work with Data/BI teams to operationalise performance‐based product movement rules, activation logic, and automated routing systems that dictate bidding exposure. Efficiency & Wastage Reduction Own wastage elimination … improve tracking approaches across PMax, Shopping Profit frameworks, and revenue tracking systems. Ensure structure and tracking changes are documented, measurable, and repeatable. Partner with Data Science to operationalise propensity segmentation. Own end‐to‐end conversion tracking integrity, including server‐side conversions API, GTM audits, feed attribution, and ongoing ...

work experience in one or more of the following areas is preferred: Professional Services, IT Infrastructure, Enterprise Architecture, Service Management, Engineering, Technology Sales, Cybersecurity, Data Science and related.Multi-technology (Data Center, Network, Security, Collaboration, Compute, Development) domain expertise, advisory, and evangelism in one or more vertical sectors ...

assurance from use-case selection and design through development, testing, deployment, monitoring, change management and retirement.Build trusted AI solutions: Partner with product, engineering, data science, security, privacy, legal and compliance teams to ensure AI solutions align with risk appetite, governance requirements and regulatory expectations.Ensure ongoing AI performance: Establish ...

anomaly detection, predictive maintenance) and architect solutions aligned with TM Forum L0–L5 and ETSI ZSM frameworks. Productionise AI/ML models, collaborate with data science and engineering teams to deploy models in live RAN environments and support clients in building responsible AI governance frameworks. Lead and mentor … world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry ...

planning, anomaly detection, predictive maintenance) and architect solutions aligned with TM Forum L0–L5 and ETSI ZSM frameworks.Productionise AI/ML models, collaborate with data science and engineering teams to deploy models in live RAN environments and support clients in building responsible AI governance frameworks.Lead and mentor teams … world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry ...

assurance from use-case selection and design through development, testing, deployment, monitoring, change management and retirement. Build trusted AI solutions: Partner with product, engineering, data science, security, privacy, legal and compliance teams to ensure AI solutions align with risk appetite, governance requirements and regulatory expectations. Ensure ongoing ...

30pm . The opportunity We're looking for 2 IT Support Analysts to join the Support Bar team of a leading global customer data science, analytics and retail technology organisation. This is a hands-on, customer-facing role supporting users across a modern, technology-driven environment. ...

Sagacity is seeking a Data Platform Engineer to design, build and operate the Databricks Lakehouse platform powering client analytics, predictive modelling, and AI work. You will collaborate with Data Scientists and Data Engineers to ensure reliability, governance, performance and cost control across financial services, retail, energy, telecoms … profit sectors. You will contribute to secure, scalable data workflows, participate in FinOps, and help drive value through resilient #J-18808-Ljbffr ...

modern slavery through its core delivery services. We are a multi-disciplinary team bringing together a diverse range of expertise and technology including data science, digital specialists, cyber specialists, intelligence analysts and counter fraud experts. This creates a powerful force using data and insight in innovative ways … often working directly with Deputy Directors. Provide expert advice and constructive challenge to senior leaders on delivery risks and opportunities.Successfully solve complex problems using data, evidence and expertise to deliver strategic outcomes and objectives.Drive and role model professional development for you and your team, which provides the required capability.Please ...