1 to 25 of 60 Remote Predictive Analytics Jobs in the UK

autonomous systems and turn vast inspection data into actionable intelligence. Our platform is becoming the mission control for critical infrastructure monitoring, combining dashboards, anomaly detection, rules/alerts, and predictive analytics into one solution. Already working with some of the world s leading industrial organisations, this platform is central to our long-term SaaS growth strategy. The Opportunity … Join Us? Work at the intersection of cloud, AI/ML, and industrial robotics Shape a platform already adopted by global enterprise customers Influence a product roadmap focused on predictive analytics and customer-driven ML models Step into a leadership role, with the opportunity to hire and mentor engineers as we scale What You ll Do Own the … Hands-on expertise with Java (backend) and Angular (frontend) Skilled in AWS cloud services Solid understanding of APIs, authentication, and security protocols (SSO, LDAP) Experience with data visualisation and analytics platforms Proven ability to design and deliver scalable, secure architectures Entrepreneurial mindset: comfortable working in fast-paced, scale-up environments Nice-to-Haves Knowledge of machine learning, image processing More ❯

autonomous systems and turn vast inspection data into actionable intelligence. Our platform is becoming the “mission control” for critical infrastructure monitoring, combining dashboards, anomaly detection, rules/alerts, and predictive analytics into one solution. Already working with some of the world’s leading industrial organisations, this platform is central to our long-term SaaS growth strategy. The Opportunity … Join Us? Work at the intersection of cloud, AI/ML, and industrial robotics Shape a platform already adopted by global enterprise customers Influence a product roadmap focused on predictive analytics and customer-driven ML models Step into a leadership role, with the opportunity to hire and mentor engineers as we scale What You’ll Do Own the … Hands-on expertise with Java (backend) and Angular (frontend) Skilled in AWS cloud services Solid understanding of APIs, authentication, and security protocols (SSO, LDAP) Experience with data visualisation and analytics platforms Proven ability to design and deliver scalable, secure architectures Entrepreneurial mindset: comfortable working in fast-paced, scale-up environments Nice-to-Haves Knowledge of machine learning, image processing More ❯

Head of Data & Analytics | London (Hybrid, 3 days in office) | £80,000-£90,000 + Bonus + Benefits Zachary Daniels are delighted to be partnering with a leading international business to recruit a Head of Data & Analytics. This is a pivotal leadership role with ownership of data strategy, architecture, and delivery across a modern Azure-based platform. As Head … of Data & Analytics, you'll shape and execute the enterprise data strategy, from building scalable pipelines and data lakes, to unlocking predictive analytics, AI, and machine learning for commercial advantage. You'll lead a talented team and ensure data becomes a true driver of growth, efficiency, and customer experience across the group. Benefits You'll Enjoy: Competitive … DOE) + bonus High visibility, reporting into senior leadership with international scope Hybrid working model 3 days in London office Broad remit covering data, AI, and advanced analytics Career-defining opportunity to embed a data-driven culture Role Responsibilities: Define and deliver the enterprise data and analytics strategy aligned to business goals. Build, lead, and scale a high More ❯

Head of Data & Analytics | London (Hybrid, 3 days in office) | £80,000-£90,000 + Bonus + Benefits Zachary Daniels are delighted to be partnering with a leading international business to recruit a Head of Data & Analytics. This is a pivotal leadership role with ownership of data strategy, architecture, and delivery across a modern Azure-based platform. As Head … of Data & Analytics, you'll shape and execute the enterprise data strategy, from building scalable pipelines and data lakes, to unlocking predictive analytics, AI, and machine learning for commercial advantage. You'll lead a talented team and ensure data becomes a true driver of growth, efficiency, and customer experience across the group. Benefits You'll Enjoy: · Competitive … DOE) + bonus· High visibility, reporting into senior leadership with international scope· Hybrid working model 3 days in London office· Broad remit covering data, AI, and advanced analytics· Career-defining opportunity to embed a data-driven culture Role Responsibilities: · Define and deliver the enterprise data and analytics strategy aligned to business goals.· Build, lead, and scale a high More ❯

of regulatory intelligence. About the role: As our Lead Data Scientist , you will play a pivotal role in shaping and delivering data-driven solutions that power our regulatory scanning, analytics, and generative AI capabilities. You'll take ownership of complex data science problems end-to-end, from framing business challenges with stakeholders, to deploying production-ready solutions. We're … will bring: Proven expertise in data processing and content generation at scale, particularly within AWS environments. A track record of leading teams, influencing stakeholders, and delivering impactful ML and analytics solutions. Strong problem-solving skills, with the ability to balance hands-on technical delivery and strategic leadership. Proven ability to work across multiple projects simultaneously, adapting quickly to changing … are looking for someone who is energized by that environment and excited to build data-driven capabilities that support real-world impact at scale. Data Modeling, Gen-AI and Predictive Analytics Design, build and maintain data pipelines for ingesting and processing large volumes of regulatory data from diverse sources, both structured and unstructured. Develop models for data categorization More ❯

global Pharmaceutical organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35 Deep expertise in Snowflake and DBT to join a mission-driven analytics team. This role is critical to assessing and improving an established Snowflake environment, driving cost optimisation, enhancing operational rigour, and supporting the team's move toward predictive analytics … CD pipelines to automate reliable deployment of data transformations. Provide deep insight into Snowflake infrastructure, including cost and pricing models, performance tuning, and resource governance. Support ML Ops/predictive analytics operationalisation - managing updates, performance monitoring, and change rollout rather than building models from scratch. Be a technical mentor and knowledge resource within the team - promoting best practices … skills and ability to mentor or teach other engineers. Desirable/Nice to Have Exposure to ML Ops (particularly around operationalising models). Familiarity with data science environments and predictive analytic workflows. Company Global Pharmaceuticals organisation Hybrid working - 1 day per week onsite Outside IR35 Salary & Benefits The salary range/rates of pay is dependent upon your experience More ❯

will be instrumental in driving the Health Data Institute's mission to leverage data for improved healthcare outcomes. Collaborating with the Principal Data Scientist, Head of Data Science & Advanced Analytics, multidisciplinary teams and Industry Partners, the Clinical Data Engineer will design, build, and operationalise robust data engineering and AI solutions that power advanced analytics and AI initiatives across … the Trust and beyond. This position requires strong technical capability in SQL, data pipeline architecture, statistical analysis, machine learning, and predictive analytics, combined with a sound understanding of clinical and operational environments. The Clinical Data Engineer will be responsible for developing high-quality health datasets, enhancing data infrastructure, and advising internal teams on best practices in data engineering … and analytics. As a technical lead and trusted advisor, the Clinical Data Engineer will help curate bespoke datasets for Advanced Analytics, design and develop AI solutions, shape AI policy, support service innovation, and ensure all solutions align with the Trust's Digital Strategy. The ultimate goal is to turn complex data into actionable insights and tools that strengthen patient More ❯

Data Scientist, London, Permanent Join Pay.UK as a Data Scientist and contribute to the enhancement of our data science, machine learning, AI, and predictive analytics platforms. You'll build predictive models, provide quantitative analysis, and uncover trends using advanced techniques. Your role will involve managing strategic insights, understanding the payments landscape, and ensuring transparency in the supplier … the payments industry. Key Accountabilities: Work with Big Data technologies to shape the development of analytical insight delivery Use statistical data approaches to uncover patterns in data from which predictive models can be developed Identify valuable data sources and automate collection processes. Apply statistical techniques on large datasets to: Measure results and identify key underlying trends Build hypothesis and … test significance Identify predictive indicators and causal impact and attribution Build predictive models to identify the likelihood of fraud Analyse geo-demographic and socio-economic profiling data along with transactional and behavioural data to produce critical insights and business deliverables Carefully review market movements and industry research for insight on market dynamics, evolution of infrastructure and changes in More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to More ❯

Intelligence Layer: Enhance data enrichment, contextualisation, and decision-making using advanced AI models. Intelligent Interfaces: Develop adaptive, conversational UI/UX elements powered by LLMs and logic-driven agents. Analytics & Insights: Build predictive analytics, anomaly detection, and KPI dashboards that empower clients to act with confidence. AI Orchestration (MCP): Oversee integration of Model Context Protocol across product … driven roadmaps aligned to commercial strategy and client outcomes. Key Skills & Experience Essential: Proven experience as a Product Manager for data-driven enterprise products. Strong understanding of data architecture, analytics, and governance. Experience integrating AI/ML models, LLMs, or agent-based systems into commercial products. Familiarity with Model Context Protocol (MCP) or similar AI orchestration frameworks. Ability to More ❯

to its ecosystem. Proficiency in Python programming with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive in a dynamic … consultancy environment. Data modelling experience and understanding of the Kimball methodology Desirable Expertise: DP-600 – Fabric Analytics Engineer Associate PL-300 – Power BI Data Analyst Associate Responsibilities: On a daily basis your varied role will include, but will not be limited to: Design, build, and optimize high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure More ❯

major business platforms (e.g. CRM, finance, and learner/ERP systems). Real-time, accurate dashboards that support decision-making across departments. AI tools embedded into daily operations (e.g. predictive analytics, automation, chatbots). Elimination of manual trackers through intelligent, self-updating data systems. A culture of innovation and digital literacy embedded across the organisation. Key Responsibilities Lead … Identify opportunities to embed AI into operational workflows (e.g. automated risk alerts, engagement tracking, intelligent resource allocation). Pilot and scale AI-powered tools such as language models, chatbots, predictive dashboards, and automation, working with system partners where required. Stay ahead of emerging technologies and assess relevance to strategic goals. Act as the organisational lead for digital innovation and More ❯

major business platforms (e.g. CRM, finance, and learner/ERP systems). Real-time, accurate dashboards that support decision-making across departments. AI tools embedded into daily operations (e.g. predictive analytics, automation, chatbots). Elimination of manual trackers through intelligent, self-updating data systems. A culture of innovation and digital literacy embedded across the organisation. Key Responsibilities Lead … Identify opportunities to embed AI into operational workflows (e.g. automated risk alerts, engagement tracking, intelligent resource allocation). Pilot and scale AI-powered tools such as language models, chatbots, predictive dashboards, and automation, working with system partners where required. Stay ahead of emerging technologies and assess relevance to strategic goals. Act as the organisational lead for digital innovation and More ❯

.NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly More ❯

.NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly More ❯

.NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly More ❯

.NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly More ❯

.NET 6/7) Integrate AI/ML models into production applications using APIs or custom implementations Collaborate with data scientists to implement AI solutions (e.g., NLP, computer vision, predictive analytics) Optimize application performance and scalability Write clean, maintainable, and testable code Participate in code reviews and provide constructive feedback Maintain documentation for AI integration and software solutions … Language Processing (NLP), computer vision, or recommendation systems Knowledge of DevOps practices for AI model deployment Familiarity with containerization (Docker/Kubernetes) Experience with real-time data processing and analytics Education: Bachelor’s or Master’s degree in Computer Science, Software Engineering, AI, or related field Soft Skills: Strong communication and collaboration skills Ability to learn and adapt quickly More ❯

that drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive analytics to natural language processing, providing variety and challenge in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills More ❯

a forward-thinking organisation that understands the power of people data in driving business success. With a focus on building an exceptional employee experience, they are investing in HR analytics to provide insights that shape their people strategy and strengthen business performance. The Opportunity Our client is seeking a skilled People Data Analyst to join their HR team. This … e.g., GDPR). Build and maintain data models to support advanced people analytics. Drive automation of HR reporting processes, reducing manual effort and increasing efficiency. Support the development of predictive analytics and workforce planning tools. About You Proven experience as a People Data Analyst, HR Analyst, or Business Intelligence Analyst . Strong expertise with Power BI (reporting, dashboards … levels. Detail-oriented with a focus on accuracy and data integrity. In return our client will offer Competitive salary and benefits package. The chance to shape a growing people analytics function. Exposure to senior leaders and the opportunity to influence HR strategy. A collaborative and supportive culture, with flexibility to support work life balance. Professional development opportunities, including training More ❯

a forward-thinking organisation that understands the power of people data in driving business success. With a focus on building an exceptional employee experience, they are investing in HR analytics to provide insights that shape their people strategy and strengthen business performance. The Opportunity Our client is seeking a skilled People Data Analyst to join their HR team. This … e.g., GDPR). Build and maintain data models to support advanced people analytics. Drive automation of HR reporting processes, reducing manual effort and increasing efficiency. Support the development of predictive analytics and workforce planning tools. About You Proven experience as a People Data Analyst, HR Analyst, or Business Intelligence Analyst . Strong expertise with Power BI (reporting, dashboards … levels. Detail-oriented with a focus on accuracy and data integrity. In return our client will offer Competitive salary and benefits package. The chance to shape a growing people analytics function. Exposure to senior leaders and the opportunity to influence HR strategy. A collaborative and supportive culture, with flexibility to support work life balance. Professional development opportunities, including training More ❯

units, ensuring alignment with overall strategic objectives. Lead Performance Reviews - Facilitate regular performance reviews, identify areas for improvement, and coordinate action plans to support continuous improvement initiatives. Deliver Advanced Analytics - Develop and apply analytical models-including predictive analytics, AI, and machine learning-to identify trends, generate insights, and support operational decision-making. Ensure Data Integrity and Automation More ❯