151 to 175 of 188 Predictive Analytics Jobs in the UK

clients worldwide, including elite teams and leagues, major broadcasters, tech innovators, and leading sportsbooks, we combine AI, machine learning, and rich data to deliver real-time insights, predictive analytics, and immersive content at scale. Whether its tracking player performance, enhancing tactical analysis, or powering in-game betting, our technology sits at the heart of how sport is played More ❯

balancing competing priorities in a lean, fast-growing team. Fluency in English is required; additional languages are a plus. Nice to Have Experience with AI-driven IT tools (chatbots, predictive analytics, smart workflows). Familiarity with modern workplace and developer tooling (Microsoft 365, GitHub, Atlassian, Okta, Slack, Cisco Meraki). Experience in regulated environments or the financial sector More ❯

CTO to define and execute the engineering strategy. Lead and mentor Engineering Managers and senior technical leaders across multiple domains. Identify and implement opportunities in AI, machine learning, and predictive analytics. Oversee the expansion and integration of offshore development teams and delivery partners. Advance Agile ways of working to improve quality, consistency, and delivery confidence. Define team structures, roles More ❯

CTO to define and execute the engineering strategy. Lead and mentor Engineering Managers and senior technical leaders across multiple domains. Identify and implement opportunities in AI, machine learning, and predictive analytics. Oversee the expansion and integration of offshore development teams and delivery partners. Advance Agile ways of working to improve quality, consistency, and delivery confidence. Define team structures, roles More ❯

harnessing additional telemetry enhancements which come with the improved capability) and the deployment of AI and automation solutions. The development of a digital twin capability, and the implementation of predictive asset analytics. These initiatives form part of a broader portfolio of change within the central control team, which you will manage cohesively to ensure strategic alignment, effective prioritisation, and More ❯

a Data Scientist, you'll play a key role in the end-to-end lifecycle of our advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You'll be part of an agile, innovative team, developing cutting-edge solutions that are transforming the world of credit risk. Your work will have a real-world … search for areas where ML solutions could have a big impact on the business Communicate findings and insights to technical and non-technical stakeholders Support the rest of the Analytics team by building complex visualisations in Tableau This role offers the chance to make a real impact in a growing scale-up on a mission to change the face More ❯

a better work-life balance with our groundbreaking 4 day week model? At Ask BOSCO , we're on a mission to help brands spend smarter with our award-winning predictive analytics platform. As our Lead Software Developer, you won't just write code - you'll shape the future of a high-growth MarTech product, lead t click apply More ❯

a better work-life balance with our groundbreaking 4 day week model? At Ask BOSCO , we're on a mission to help brands spend smarter with our award-winning predictive analytics platform. As our Lead Software Developer, you won't just write code - you'll shape the future of a high-growth MarTech product, lead t click apply More ❯

Tech Stack C#, .NET Core (some legacy .NET 4.x) SQL Server/MySQL JavaScript, Vue.js/Angular/React APIs, Web Services AI tools such as OpenAI, automation flows, predictive analytics About You 2+ years of post-graduate commercial experience Strong .NET and C# background Confident working with databases and API integrations Some front-end framework knowledge (Vue.js More ❯

focused relationships Contributing to internal client solution review meetings Key Details Vacancy Title Chartered Manager - Client Service Executive Apprentice Employer Description Circana is a leading provider of big data, predictive analytics, and insights that help FMCG, healthcare, retailers, and media companies grow their businesses. They utilize extensive purchase, media, social, causal, and loyalty data on a cloud-based More ❯

small businesses owners can better run their businesses. We help independent retailers buy sustainable and unique products from brands and wholesalers on a centralised platform, using artificial intelligence and predictive analytics to improve sales for brands, manage inventory levels and get sustainable finance. All we do is aimed at delivering more choice, better pricing, and more efficient logistics More ❯

ground up. Act as a thought leader in AI , advising C-level clients on the practical applications of AI in financial services, including agentic AI, generative AI, automation, and predictive analytics. Drive business development , shaping proposals and solutions for AI-led consulting opportunities and generating a strong, repeatable pipeline across existing and new clients. Collaborate closely with the broader More ❯

ground up. Act as a thought leader in AI , advising C-level clients on the practical applications of AI in financial services, including agentic AI, generative AI, automation, and predictive analytics. Drive business development , shaping proposals and solutions for AI-led consulting opportunities and generating a strong, repeatable pipeline across existing and new clients. Collaborate closely with the broader More ❯

ground up. Act as a thought leader in AI , advising C-level clients on the practical applications of AI in financial services, including agentic AI, generative AI, automation, and predictive analytics. Drive business development , shaping proposals and solutions for AI-led consulting opportunities and generating a strong, repeatable pipeline across existing and new clients. Collaborate closely with the broader More ❯

ground up. Act as a thought leader in AI, advising C-level clients on the practical applications of AI in financial services, including agentic AI, generative AI, automation, and predictive analytics. Drive business development, shaping proposals and solutions for AI-led consulting opportunities and generating a strong, repeatable pipeline across existing and new clients. Collaborate closely with the broader More ❯

Lead Data Engineer As a Lead Data Engineer, you'll be instrumental in driving innovation through advanced analytics, AI, cloud technologies, and data science. You will help build a new Data & Analytics function and unified data platform. Key Responsibilities: * Develop and execute a data engineering strategy that aligns with organisational goals and technological advancements. * Design and implement a … large volumes of structured and unstructured data. * Create and manage Power BI dashboards, reports, and data models to provide strategic insights. * Integrate cutting-edge technologies like AI, real-time analytics, and automation into our data infrastructure. * Lead operational AI initiatives, including the development of machine learning models for predictive analytics. Technical Skills: * Proficiency in cloud platforms (Azure, AWS More ❯

Solutions Architect (Data Analytics)- Presales, RFP creation Solutions Architect (Data Analytics)- Presales, RFP creation Get AI-powered advice on this job and more exclusive features. This range is provided by Vallum Associates. Your actual pay will be based on your skills and experience talk with your recruiter to learn more. Base pay range Direct message the job poster … from Vallum Associates Job Title: Solutions Architect (Data Analytics)-Pre-sales, RFP creation Location: London (3days/week onsite) Duration: Permanent Responsibilities: 16-18+ years of total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on … design, including SQL development and database administration Ability to implement common data management and reporting technologies, as well as the Columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics. Excellent organizational and analytical abilities. Good written and verbal communication skills. A minimum of 5 years experience in a similar role. Ability to lead and mentor the architects. More ❯

About the Role: Grade Level (for internal use): 14 Head of Revenue Operations, Performance Analytics & Martech The Team: This senior leadership role reports directly to the Managing Director, Head of Enterprise Marketing Strategy and Demand Generation Center of Excellence. The Head of Revenue Operations, Performance Analytics & Martech oversees three critical functions that power modern B2B marketing: revenue operations … client outcomes. In collaboration with functions such as Sales Operations and Corporate Technology, it directly oversees functions critical to enterprise marketing's operational effectiveness, including: Revenue Impact Modeling & Performance Analytics (data science) Data Visualization & Dashboarding Marketing Data Enablement (data infrastructure & pipes) Martech Integrations and Roadmap (in partnership with Corporate Technology) Website Operations & Maintenance (in collaboration with Digital Experience) Martech … Procurement & Governance Analytics Enablement & Insight Delivery Responsibilities and Impact: Strategy & Leadership: Build and evolve the revenue operations function, aligning marketing planning, execution, and measurement with go-to-market priorities. Lead a high-performing team across performance analytics, Martech, and data enablement. Serve as the strategic partner to the CMO's leadership team and divisional RevOps peers to drive More ❯

ready to shape the future of data at NCHA? Were excited to introduce a brand-new opportunity for a Head of Dataa strategic role for someone passionate about data, analytics, and driving transformational change. The Role As our Head of Data, youll lead the strategic direction of data and analytics across the NCHA Group. Youll be responsible for … developing and delivering a comprehensive data strategy that supports dynamic live reporting and predictive analysis, moving beyond static historical KPIs. Youll manage and inspire our Information & Intelligence team of 8, ensuring robust data governance and integrity, while building strong relationships with senior stakeholders to align data services with business priorities. Youll also guide architecture decisions for data platforms, manage … Statistics) or equivalent experience. Proven experience in a senior data leadership role, including experience of successfully delivering transformational change and realising data strategies. A proven track record of leading analytics or BI in a complex, multi-functional and regulated environment. Extensive experience and high-level responsibility for the design, development and delivery of data and analytical services. Technical data More ❯

level operational technologies. You'll work closely with cross-functional teams to implement smart factory initiatives, drive innovation, and ensure compliance with industry standards. To enable real-time insights, predictive maintenance, and data driven decision making across our manufacturing sites. Key Requirements Design and implement end-to-end digital architectures integrating MES, SCADA, PLCs, ERP, and IoT platforms. Lead … smart factory initiatives including predictive maintenance, quality analytics, and OEE improvement. Define standards for connectivity, cybersecurity, and interoperability between IT and OT systems. Collaborate with production, maintenance, IT, and vendors to align solutions with business outcomes. Evaluate and deploy technologies like edge computing, data historians, and cloud IoT platforms. Ensure compliance with IEC 62443, ISO 27001, and other … industry regulations. Support deployment of manufacturing analytics and AI-based solutions. Maintain high-quality documentation and facilitate knowledge transfer across teams. About You Certifications in TOGAF, AWS Solution Architect, ISA-95, or IEC 62443 are a plus. Experience with MES platforms (e.g., Aveva, GE Proficy), SCADA systems, and IT/OT convergence tools (e.g., Azure IoT, Siemens MindSphere). More ❯

level operational technologies. You’ll work closely with cross-functional teams to implement smart factory initiatives, drive innovation, and ensure compliance with industry standards. To enable real-time insights, predictive maintenance, and data driven decision making across our manufacturing sites. Key Requirements Design and implement end-to-end digital architectures integrating MES, SCADA, PLCs, ERP, and IoT platforms. Lead … smart factory initiatives including predictive maintenance, quality analytics, and OEE improvement. Define standards for connectivity, cybersecurity, and interoperability between IT and OT systems. Collaborate with production, maintenance, IT, and vendors to align solutions with business outcomes. Evaluate and deploy technologies like edge computing, data historians, and cloud IoT platforms. Ensure compliance with IEC 62443, ISO 27001, and other … industry regulations. Support deployment of manufacturing analytics and AI-based solutions. Maintain high-quality documentation and facilitate knowledge transfer across teams. Travel required: approx. 30%. About You Certifications in TOGAF, AWS Solution Architect, ISA-95, or IEC 62443 are a plus. Experience with MES platforms (e.g., Aveva, GE Proficy), SCADA systems, and IT/OT convergence tools (e.g. More ❯

the UK’s most innovative financial technology firms. Key Responsibilities Marketing Strategy & AI Integration Develop and execute a roadmap for integrating AI into marketing operations, including automation, personalisation, and predictive analytics. Identify and deploy AI tools to improve campaign performance, customer segmentation, and lifecycle marketing. Collaborate with product, data science, and CRM teams to align AI initiatives with customer … AI-powered platforms. Data-Driven Decision Making Establish KPIs and dashboards to measure the impact of AI and digital initiatives on marketing ROI. Use insights from customer data, behavioural analytics, and market trends to inform strategy. Ensure ethical and compliant use of AI in all marketing activities. Stakeholder Engagement & Innovation Leadership Act as a thought leader and internal champion More ❯

working with large datasets across platforms like PostgreSQL or SQL Server. AI & Next-Gen Testing Tools Exposure to AI-powered testing solutions and familiarity with self-healing automation and predictive quality analytics. Key accountability Lead end-to-end QA delivery across complex, large-scale platform implementations in a fast-paced, agile environment. Act as the primary QA liaison for … quality standards Champion the adoption of AI-driven testing practices, including self-healing automation and intelligent test design Shape the strategic roadmap for test automation, with a focus on predictive quality analytics and continuous improvement Lead proof-of-concept (PoC) initiatives to evaluate and implement emerging QA technologies and frameworks Oversee the design, development, and rollout of scalable More ❯

Design AI-based solutions for critical functions such as R&D, patient engagement, supply chain optimization, and operational efficiency, utilizing the latest in machine learning, natural language processing, and predictive analytics. 3. Technology Integration: Seamlessly integrate AI solutions with existing enterprise systems and platforms, ensuring robust data analytics capabilities and operational effectiveness. 4. Client Collaboration: Establish strong, consultative More ❯

and open to new technologies, regularly exploring AI-driven solutions to elevate team performance and customer impact. Demonstrate a growth mindset, experimenting with AI capabilities-from content generation to predictive analytics-to fuel continuous innovation in their role. Preferred Skills & Competencies AI Literacy: Demonstrates a solid understanding of core AI concepts, terminology, and practical applications. Effectively leverages AI More ❯