2,051 to 2,075 of 2,879 Data Science Jobs in the UK

Data Scientist - £55,000-£70,000 - Remote A fast-growing UK tech company is seeking a Data Scientist to join their dynamic team. This is a unique opportunity to be part of a business that's scaling rapidly and making waves in the e-commerce space. This company has recently been recognised as one of the UK's … everywhere. The team is collaborative, ambitious, and thrives in a fast-paced, ever-evolving environment. You'll be part of a close-knit group driving real change. As their Data Scientist, you'll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You'll work closely with cross-functional teams … models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for stakeholders. Collaborate with data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with More ❯

Data Scientist - £55,000-£70,000 - Remote A fast-growing UK tech company is seeking a Data Scientist to join their dynamic team. This is a unique opportunity to be part of a business that's scaling rapidly and making waves in the e-commerce space. This company has recently been recognised as one of the UK's … everywhere. The team is collaborative, ambitious, and thrives in a fast-paced, ever-evolving environment. You'll be part of a close-knit group driving real change. As their Data Scientist, you'll play a key role in identifying and quantifying potential risks through data-driven strategies and predictive modelling. You'll work closely with cross-functional teams … models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for stakeholders. Collaborate with data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with More ❯

Relocation Opportunities - Singapore, Hong Kong, Sydney We're partnered with several leading funds that are offering relocation packages for candidates with Industry experience. Data Engineer - Quantitative Research Environment Overview An elite trading and research firm is seeking a skilled technologist to join a collaborative team supporting the data-driven backbone of a world-class quantitative investment strategy. This … is a unique opportunity to design, build, and maintain critical research and data infrastructure that empowers traders, data scientists, and quantitative researchers across the business. What You’ll Do Own and manage large-scale, high-value datasets from acquisition through to integration in quantitative pipelines. Architect and automate robust data workflows, including extraction, cleaning, validation, and transformation. … Collaborate closely with quant researchers to translate analytical needs into efficient, scalable data systems. Build monitoring tools to detect anomalies and maintain data integrity across petabyte-scale systems. Contribute to a cutting-edge research platform that enables backtesting, simulation, and strategy development. Improve data storage and retention efficiency using distributed systems and performance-optimised formats. Troubleshoot complex More ❯

need to work in the office 3 days per week. Key Responsibilities Design, develop, and operationalize advanced detections across cloud, container, and on-prem environments. Build integrations for diverse data sources (e.g., Wiz, host telemetry, network sensors) into EA’s detection infrastructure. Define and implement detection lifecycle processes to ensure maturity, governance, and performance metrics. Lead development of AI … technical discussions and influence cross-functional partners. Preferred Qualifications 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. Deep understanding of cloud-native architectures, container security, and host-based detection. Experience leading PoCs or greenfield development initiatives in a complex security More ❯

need to work in the office 3 days per week. Key Responsibilities Design, develop, and operationalize advanced detections across cloud, container, and on-prem environments. Build integrations for diverse data sources (e.g., Wiz, host telemetry, network sensors) into EA’s detection infrastructure. Define and implement detection lifecycle processes to ensure maturity, governance, and performance metrics. Lead development of AI … technical discussions and influence cross-functional partners. Preferred Qualifications 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. Deep understanding of cloud-native architectures, container security, and host-based detection. Experience leading PoCs or greenfield development initiatives in a complex security More ❯

culture, strong commitment to employee wellbeing, and active community initiatives in charity, volunteering, and inclusion. About the role The company is a market leader in using advanced technology and data science to deliver smarter, faster protection against today’s most critical business risks. Headquartered in London with international offices, it serves over 150,000 clients worldwide. You will … understanding of secure software development, cloud security, and API security. Experience with DevSecOps and modern CI/CD practices. Knowledge of frameworks such as GDPR , NYDFS , and other global data protection regulations. Excellent communication and stakeholder management skills. Relevant certifications (e.g. CISSP, SABSA, TOGAF, AWS/Azure Security) are highly desirable. Security Architect (6-Month initial Contract) | Outside IR35 More ❯

culture, strong commitment to employee wellbeing, and active community initiatives in charity, volunteering, and inclusion. About the role The company is a market leader in using advanced technology and data science to deliver smarter, faster protection against today’s most critical business risks. Headquartered in London with international offices, it serves over 150,000 clients worldwide. You will … understanding of secure software development, cloud security, and API security. Experience with DevSecOps and modern CI/CD practices. Knowledge of frameworks such as GDPR , NYDFS , and other global data protection regulations. Excellent communication and stakeholder management skills. Relevant certifications (e.g. CISSP, SABSA, TOGAF, AWS/Azure Security) are highly desirable. Security Architect (6-Month initial Contract) | Outside IR35 More ❯

A unique opportunity to earn a BSc in Data Science while working as a Junior Technical Consultant at a leading ServiceNow partner. Gain hands-on experience implementing ServiceNow solutions while completing your degree apprenticeship. Role Supporting customer workshops and demonstrations, using the ServiceNow platform Supporting the development of customer requirements (user stories), which may include scripting and configuration … implementations and mentoring junior staff ServiceNow Specialist - Deep expertise in specific platform modules Solution Architecture - Designing complex ServiceNow implementations Consulting Management - Managing client relationships and delivery teams Apprenticeship Standard Data scientist (integrated degree) (level 6) Training Provider NORTHEASTERN UNIVERSITY-LONDON Working Week Monday to Friday, full-time. Expected Duration 3 Years 3 Months Positions Available 4 Closing Date Thursday More ❯

standards, including ISO/IEC 42001:2023 and ISO 27001. Promote responsible and ethical use of AI and other technologies, in line with the firm’s governance framework and data principles. Collaboration and Process Improvement Work closely with Business Services Directors, Practice Management, and Technology teams to drive innovation initiatives forward. Lead training and communication activities to support the … In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience in solution architecture , data science, machine learning, and agile methodologies. Ability to evaluate and implement AI tools in a safe, ethical, and compliant way, including understanding regulatory and data protection risks. More ❯

standards, including ISO/IEC 42001:2023 and ISO 27001. Promote responsible and ethical use of AI and other technologies, in line with the firm’s governance framework and data principles. Collaboration and Process Improvement Work closely with Business Services Directors, Practice Management, and Technology teams to drive innovation initiatives forward. Lead training and communication activities to support the … In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience in solution architecture , data science, machine learning, and agile methodologies. Ability to evaluate and implement AI tools in a safe, ethical, and compliant way, including understanding regulatory and data protection risks. More ❯

standards, including ISO/IEC 42001:2023 and ISO 27001. Promote responsible and ethical use of AI and other technologies, in line with the firm’s governance framework and data principles. Collaboration and Process Improvement Work closely with Business Services Directors, Practice Management, and Technology teams to drive innovation initiatives forward. Lead training and communication activities to support the … In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience in solution architecture , data science, machine learning, and agile methodologies. Ability to evaluate and implement AI tools in a safe, ethical, and compliant way, including understanding regulatory and data protection risks. More ❯

standards, including ISO/IEC 42001:2023 and ISO 27001. Promote responsible and ethical use of AI and other technologies, in line with the firm’s governance framework and data principles. Collaboration and Process Improvement Work closely with Business Services Directors, Practice Management, and Technology teams to drive innovation initiatives forward. Lead training and communication activities to support the … In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience in solution architecture , data science, machine learning, and agile methodologies. Ability to evaluate and implement AI tools in a safe, ethical, and compliant way, including understanding regulatory and data protection risks. More ❯

standards, including ISO/IEC 42001:2023 and ISO 27001. Promote responsible and ethical use of AI and other technologies, in line with the firm’s governance framework and data principles. Collaboration and Process Improvement Work closely with Business Services Directors, Practice Management, and Technology teams to drive innovation initiatives forward. Lead training and communication activities to support the … In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience in solution architecture , data science, machine learning, and agile methodologies. Ability to evaluate and implement AI tools in a safe, ethical, and compliant way, including understanding regulatory and data protection risks. More ❯

consider candidates with current/live SC Clearance. Job Spec: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry and Microsoft Azure ML Studio. (LEAD) Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. (LEAD) Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability More ❯

consider candidates with current/live SC Clearance. Job Spec: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry and Microsoft Azure ML Studio. (LEAD) Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. (LEAD) Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability More ❯

consider candidates with current/live SC Clearance. Job Spec: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry and Microsoft Azure ML Studio. (LEAD) Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. (LEAD) Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability More ❯

consider candidates with current/live SC Clearance. Job Spec: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry and Microsoft Azure ML Studio. (LEAD) Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. (LEAD) Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability More ❯

consider candidates with current/live SC Clearance. Job Spec: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry and Microsoft Azure ML Studio. (LEAD) Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. (LEAD) Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability More ❯

consider candidates with current/live SC Clearance. Job Spec: Proven extensive experience developing AI solutions on Microsoft Azure AI Foundry and Microsoft Azure ML Studio. (LEAD) Understanding of data science concepts, AI/ML models, automation workflows, and agentic orchestration to enhance business processes. (LEAD) Experience designing and deploying Agentic AI solutions leveraging orchestration, pipelines, and observability More ❯

Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent More ❯

Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent More ❯

Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent More ❯

Define & Develop the product roadmap Product & Tech requirement gathering, defining & agreeing scope of projects Manage & onboard new clients Recruit for & build the product team Requirements include: Strong pedigree in Data Science & Advanced Analytics (not hands on, but from a Product leadership perspective) Experience of defining & running projects Presenting to & managing stakeholders at a C-level Strong 'translator' experience. More ❯

Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent More ❯

Create technical documentation and share best practices across teams. Essential Skills & Experience Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio . Strong understanding of data science, machine learning , and agentic AI orchestration . Experience with Generative AI, NLP, and prompt engineering . Solid grasp of AI governance, observability , and responsible AI frameworks. Excellent More ❯