76 to 100 of 145 Predictive Analytics Jobs in the UK

business development activities, support strategic account planning, influence purchasing decisions, and provide clinical expertise during procurement, implementation, and transformation initiatives.Key ResponsibilitiesFollow trends in Healthcare Analytics, Evidence Based Medicine, Clinical Quality Measures, Accountable Care and Clinical Decision Support and advise Executive leadership and product development teamsPlay a key role … diversity of personalities. Is approachable and presents data with effective communication and presentation skills. Must be an effective consensus builderDirect experience with Healthcare Analytics, Clinical Decision Support systems, Evidence Based Medicine, Clinical Quality Measures, and Electronic Health Record systemsClinical domain knowledge and credibility within healthcare communityInterpersonal, communication (verbal ...

business development activities, support strategic account planning, influence purchasing decisions, and provide clinical expertise during procurement, implementation, and transformation initiatives.Key ResponsibilitiesFollow trends in Healthcare Analytics, Evidence Based Medicine, Clinical Quality Measures, Accountable Care and Clinical Decision Support and advise Executive leadership and product development teamsPlay a key role … diversity of personalities. Is approachable and presents data with effective communication and presentation skills. Must be an effective consensus builderDirect experience with Healthcare Analytics, Clinical Decision Support systems, Evidence Based Medicine, Clinical Quality Measures, and Electronic Health Record systemsClinical domain knowledge and credibility within healthcare communityInterpersonal, communication (verbal ...

identify opportunities for AI driven productivity, automation, and experience improvement. Design and implement AI use cases, including intelligent assistants, workflow automation, knowledge retrieval, and predictive insights. Drive adoption and change management, including training, communications, and user readiness activities. Establish governance frameworks for responsible AI usage, data protection, and compliance … JAMF) and how AI enhances device experience. Strong knowledge and firsthand experience of deploying/implementing of AI/ML concepts, including LLMs, chatbots, predictive analytics, and automation frameworks. Associate and professional level certifications in Microsoft 365, Azure AI, Google Cloud, or ServiceNow. Experience delivering AI focused change ...

test generation, and documentation Experience building or integrating AI/ML‐powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context‐appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre‐existing code to incrementally improve … Skills MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps Infrastructure as Code Building a truly diverse, equitable, and inclusive workplace is an ongoing journey, and we’re excited to keep learning ...

test generation, and documentation Experience building or integrating AI/ML-powered features into products or systems (e.g., recommendation engines, NLP models, computer vision, predictive analytics) Used context-appropriate automated testing to inform software design choices and catch bugs Debugged and refactored pre-existing code to incrementally improve … building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps MLOps Infrastructure ...

data with simplicity and speed. AI is at the core of our platform and the way we work — from powering advanced identity resolution and predictive analytics to streamlining internal workflows and decision-making. It’s not just a capability; it’s part of our DNA. Our team thrives … relevant information to set them up for success. About You Minimum 12+ years experience in customer-facing roles in the marketing technology or data analytics domain. Minimum 5+ years experience in marketing technology, customer data management, data manipulation, database management, or business intelligence tool configuration and programming. Awareness ...

management; explore AI-driven solutions for signal detection and automated updates.Regulatory Project ManagementProvide strategic oversight for major submissions and regulatory milestonesdevelop project dashboards and predictive analytics for risk managementchampion agile methodologies for faster delivery under submission, excellenceOwn and improve Submission Excellence process & playbook, support IND Excellence projectComplianceSupport inspection ...

Scientist to tackle structured/tabular problems, including rent arrears and tenant risk, delivering evidence-based outcomes. You will join a small central data & analytics function, collaborating with product and engineering on a shared roadmap and experimental approach. Responsibilities span forecasting, prescriptive analytics, AI agents, and deployment with ...

TERM CONTRACT) Company description Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data platform help clients measure market share, uncover consumer behavior, and drive growthpowered by six decades of expertise … actionable insights that help clients make informed decisions and achieve measurable outcomes. Collaborate Cross-Functionally: Partner with internal teams (e.g., Client Insights, Product, and Analytics) to deliver integrated solutions and ensure client success. Maintain Industry Expertise: Stay current on trends in retail and general merchandise to position Circana ...

TERM CONTRACT) Company description Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data platform help clients measure market share, uncover consumer behavior, and drive growthpowered by six decades of expertise … actionable insights that help clients make informed decisions and achieve measurable outcomes. Collaborate Cross-Functionally: Partner with internal teams (e.g., Client Insights, Product, and Analytics) to deliver integrated solutions and ensure client success. Maintain Industry Expertise: Stay current on trends in retail and general merchandise to position Circana ...

expectations. As a Senior Software Engineer (SDET), you’ll be the transformational force that revolutionizes our testing approach. You’ll leverage AI and advanced analytics to identify quality gaps, architect intelligent testing solutions, and establish new standards for test effectiveness that go beyond simple coverage metrics. What … initiatives that significantly improved test effectiveness and reduced production issues AI expertise for testing: Ability to design, implement, and optimize solutions leveraging LLMs, and predictive analytics for quality assurance Knowledge of continuous integration tools (Jenkins/GitLab, TeamCity, AWS) and their optimization for quality gates Advanced test analysis ...

management consulting, AI or technology transformation, product leadership or innovation, supported by hands-on delivery experience. Experience with generative and agentic AI, machine learning, predictive analytics, retrieval-augmented generation and enterprise knowledge systems. Knowledge of data architecture and readiness, cloud AI platforms, enterprise integration patterns, AI governance, security ...

management consulting, AI or technology transformation, product leadership or innovation, supported by hands-on delivery experience. Experience with generative and agentic AI, machine learning, predictive analytics, retrieval-augmented generation and enterprise knowledge systems. Knowledge of data architecture and readiness, cloud AI platforms, enterprise integration patterns, AI governance, security ...

capabilities capture real‐time data and detect surgical events – improving quality of data outputs. The result: ORs are optimised like never before – with predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time. Once practitioners ...

function calling. Machine Learning Expertise: Hands-on machine learning experience spanning model development, evaluation, deployment, and operationalization, with a focus on enterprise AI solutions, predictive analytics, and scalable MLOps practices. Strong programming skills in Python and/or C#/TypeScript, plus working fluency with at least ...

traders make complex risk decisions, model markets, and bring trading strategies to life every day. As a markets and trading expert, you’ll use predictive analytics and sophisticated statistical techniques to monitor risk, respond to market signals and develop trading strategies across Options, ETFs, Equities, Fixed Income, Commodities … using one of the industry’s most powerful trading platforms Conceptualize valuation strategies, develop, and continuously improve upon mathematical models. Design, build, and implement predictive models to generate novel trading signals. Use unconventional data sources to drive innovation. Conduct research and statistical analysis to build and refine monetization systems ...

programmes, shaping technical direction, standards and delivery approaches. The role requires deep expertise in data science, strong leadership and the ability to turn advanced analytics into organisational impact. You will work with multidisciplinary teams across data, AI, software engineering, product, QA and delivery to create practical outcomes for clients … science products, models and analytical solutions. Set standards for modelling, validation, reproducibility, coding, documentation and responsible AI practices. Identify opportunities to apply machine learning, predictive analytics, optimisation or advanced statistics to business challenges. Guide data scientists, analysts and engineers in selecting appropriate methods, architectures and tools. Influence stakeholders ...

Role Grade Level (for internal use): 11. The AIOps team is responsible for modernizing IT operations through intelligent observability, event correlation, anomaly detection, predictive insights, and automation. They partner with AIOps vendors, IT Operations, infrastructure, platform engineering, SRE, service management, and application teams to reduce operational noise, improve service … visibility across cloud, on‐premises, and hybrid environments. Implement AIOps use cases, including noise reduction, event deduplication, correlation, anomaly detection, root cause analysis, and predictive alerting. Partner with engineering teams to build automated remediation and self‐healing workflows integrated with observability and ITSM platforms. Evaluate, implement, and optimize AIOps ...

building innovative biomarker data infrastructure, championing translational research, unlocking AI-powered discoveries, and raising the bar for operational excellence in biomarker data and multimodal analytics across Novartis’ oncology trials.Job DescriptionKey responsibilities:Define and implement the clinical data engineering roadmap in alignment with Novartis’ data and digital strategy, collaborating with … SMEs and OncDS leadership.Integrate advanced tools and AI/ML-ready infrastructure to support predictive modeling, multimodal analytics, and real-world data applications.Align clinical and pre-clinical data engineering initiatives with the broader oncology strategy.Lead, manage, and develop a high-performing clinical data engineering team, fostering collaboration ...

efficiency. You will work closely with SRE, platform, and cloud engineering teams , within a global technology support organisation to embed AI-driven decision-making, predictive analytics, and autonomous remediation into infrastructure platforms . What youll do Infrastructure Automation at Scal e Design and deploy AI-powered automation frameworks … detection, incident prediction, and root cause analysis across distributed systems . Implement intelligent alerting systems to reduce noise and improve signal fidelity . Build predictive reliability models (e.g., capacity forecasting, failure prediction). What youll bring Essential criteria: Strong experience in AI engineering, particularly in operational or systems contexts ...

Company description Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data platform help clients measure market share, uncover consumer behavior, and drive growthpowered by six decades of expertise and an expansive, high … sales processes including prospecting, needs assessment, solution development, negotiation, and closing. Collaborate Cross-Functionally: Partner with internal teams (e.g., Client Insights, Product, and Analytics) to deliver integrated solutions and ensure client success. Maintain Industry Expertise: Stay current on trends in [retail, CPG, or general merchandise] to position Circana ...

such as APICS, SCOR, BIAN, and industry-specific standards Deepunderstanding of trends like: Supply chain digitalization, inventory optimization, omnichannel retail, lean manufacturing, Industry 4.0, predictive analytics, and demand-driven planning Passion and energy for building business relationships and is accustomed to driving the simplification of complex concepts into … include SaaS, PaaS, multi-tenancy, and automation Experience and understanding of multiple technical domains - application, data, DevOps, AI/ML, integration, big data, mobility, analytics, etc. Intrinsically curious and passionate aboutresearching current and emerging technologiesand developing innovative solutions Experience presenting architecture concepts, designs, and goals to technology leaders ...

tooling and trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy systems with short and long‐term business needs … building reusable software foundations, internal developer platforms, and infrastructure that other teams build on Data Engineering: including platforms like Databricks for data processing and analytics Delivering production agentic systems, including RAG pipelines, vector search, and agentic frameworks such as LangChain, LlamaIndex, CrewAI, AutoGen, and n8n DevSecOps & DevOps MLOps Infrastructure ...

Lets be unstoppable together! Circana is a leading provider of technology, AI, and data solutions for consumer packaged goods companies, manufacturers, and retailers. Our predictive analytics and Liquid Data platform help clients measure market share, uncover consumer behavior, and drive growthpowered by six decades of expertise … sales processes including prospecting, needs assessment, solution development, negotiation, and closing. Collaborate Cross-Functionally: Partner with internal teams (e.g., Client Services, Product, and Analytics) to deliver integrated solutions and ensure client success. Maintain Industry Expertise: Stay current on trends in [Retail, CPG, and Client Portfolio] to position Circana ...

value. Key responsibilities Design, develop, and deploy scalable AI and machine learning solutions, taking projects from concept through to production with a focus on predictive analytics, optimisation, automation, Generative AI, and agentic AI. Build AI‐powered applications using Large Language Models (LLMs), orchestration frameworks, and Python within backend ...