1 to 25 of 27 Remote/Hybrid Predictive Analytics Jobs in London

native architectures and platform engineering approaches.· Understanding of identity federation and third party/partner access management.· Experience implementing AI-enabled operational capabilities or predictive analytics solutions.· TOGAF, ArchiMate, or equivalent architecture certification.· Experience operating within product-centric technology organisations.QualificationsKey Technical Skills· Significant experience in Domain Architecture, Enterprise … streaming, and modern data architectures.· Knowledge of automation frameworks, digital operations platforms, and emerging technology trends.· Understanding of data architecture, operational data platforms, and analytics ecosystems.· Experience with cloud-native architectures and platform engineering approaches.· Understanding of identity federation and third-party/partner access management.· Experience implementing ...

native architectures and platform engineering approaches. Understanding of identity federation and third party/partner access management. Experience implementing AI-enabled operational capabilities or predictive analytics solutions. TOGAF, ArchiMate, or equivalent architecture certification. Experience operating within product-centric technology organisations. Key Technical Skills Significant experience in Domain Architecture … streaming, and modern data architectures. Knowledge of automation frameworks, digital operations platforms, and emerging technology trends. Understanding of data architecture, operational data platforms, and analytics ecosystems. Experience with cloud-native architectures and platform engineering approaches. Understanding of identity federation and third-party/partner access management. Experience implementing ...

Lions Gate, Univision, the Formula E racing series and several regional sports networks.JOB PURPOSEApply advanced data science, machine learning, AI/Gen-AI, and predictive analytics to drive technology decisions. Your work will support due diligence, market analysis, competitive intelligence, and strategic roadmap development through sophisticated modelling, performance … analysis, and forecasting.KEY ACCOUNTABILITIESData Analytics & Strategic InsightsCreate technology strategy data and AI frameworks, building advanced analytical models to support decision-making across Liberty GlobalBuild Gen-AI native products and services for across the groupDevelop data aggregation, correlation, and visualization capabilities for technology performance metrics, market trends, and competitive intelligenceApply ...

governance across reporting outputs. Support system enhancements, data projects, and process improvement initiatives. Apply statistical techniques and analytical tools to identify patterns and support predictive analytics activity. Assist with audits, due diligence exercises, and claims data reviews. Collaborate with stakeholders across Claims, Operations, and wider business functions … motivated with a continuous improvement mindset. What's on Offer Hybrid working arrangement. Competitive salary and benefits package. Opportunity to work on high-profile analytics and reporting projects. Exposure to senior stakeholders and business-critical decision-making. Strong long-term development and progression opportunities. #J-18808-Ljbffr ...

Director of Marketing Data Science & Analytics Location: Holborn, London (Hybrid - 3 days per week) About The Job We're looking for a Director of Marketing Data Science & Analytics to build and lead a brand-new capability within our growing Data & Analytics team. This is a unique opportunity … shape how one of the UK's fastest-growing consumer brands measures marketing performance. You'll build a high-performing team spanning Marketing Analytics, Marketing Data Science and Marketing Engineering, creating the measurement capabilities, technology foundations and analytical standards that help us make smarter investment decisions and accelerate growth. ...

thrive on solving complex challenges, uncovering insights, and driving innovation with advanced analytics? If so, we could have the perfect opportunity for you! We’re seeking a Principal Data Scientist to join our award-winning digital team at Stantec. You will be working alongside leading Analysts and Data Engineering … office and home working. What You’ll Be Doing Leading Data Science Initiatives – apply your expertise in data modelling, cleansing, and analytics to create innovative solutions that drive digital transformation. Deriving Powerful Insights – use predictive analytics and optimization techniques to help clients make smarter, data‐driven decisions. ...

unlock value from their data. Location: Greater London, UK Hybrid: Flexible Onsite Schedule Responsibilities Data Science Leadership Lead the design and delivery of advanced analytics, machine learning, and AI solutions across SBS platforms and client projects Act as a technical authority for data science, setting best practices and standards … Identify opportunities to leverage AI/ML to enhance banking products and client outcomes Drive innovation through experimentation with emerging technologies (e.g., GenAI, LLMs, predictive analytics) Client Engagement & Stakeholder Management Engage with clients and internal stakeholders to understand business challenges and translate them into data science solutions Present ...

Experience within a UK construction, main contractor, or infrastructure setting Desirable: integration with finance/planning systems, supply chain knowledge, Power BI exposure, or predictive analytics awareness Key Competencies Analytical and data-driven with strong commercial awareness Able to translate complex data into clear insight Strong stakeholder engagement ...

evolving, and consultancies are at the forefront-helping clients modernise legacy ecosystems, embrace decentralised data models, and build domain-driven data products that unlock analytics, automation and AI. As a Senior Manager in our consulting practice, you will lead the design of strategic, business-focused data models for major … business priorities. Develop a unified language for data -dictionaries, vocabularies, taxonomies and ontologies that allow teams to interpret data consistently. Shape data and analytics architectures collaboratively with solution and enterprise architects. Act as a trusted advisor to senior stakeholders, helping them navigate design choices and achieve measurable business outcomes. ...

migration and modernization of workloads to the cloud. Drive automation and infrastructure‐as‐code practices to improve operational efficiency. Drive AI‐powered FinOps and predictive resource optimization Mentor and guide engineers across teams, raising the overall technical bar. Collaborate with security, networking, and compliance teams to ensure platform meets … automated rollbacks, or service restarts) with built‐in verification and safety guardrails. AI‐Driven FinOps & Resource Optimization: Deep understanding of applying machine learning and predictive analytics to dynamically right‐size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms ...

migration and modernization of workloads to the cloud. Drive automation and infrastructure-as-code practices to improve operational efficiency. Drive AI-powered FinOps and predictive resource optimization Mentor and guide engineers across teams, raising the overall technical bar. Collaborate with security, networking, and compliance teams to ensure platform meets … rollbacks, or service re-starts) with built-in verification and safety guardrails. AI-Driven FinOps & Resource Optimization: Deep understanding of applying machine learning and predictive analytics to dynamically right-size cloud resources, manage spot instances, and optimize data platform workloads. Predictive Capacity Planning: Ability to design algorithms ...

paradigms, with a clear emphasis on Data Science as the primary discipline for this role: Data Science (Primary Focus): Statistical modelling, machine learning, predictive analytics, and decision science delivered into production environments and real business processes. Generative AI (Secondary): LLM‐powered applications such as RAG pipelines and document … paradigms (e.g. agent‐based systems) is a plus, but not required. We particularly value depth in applied data science areas such as: Customer analytics (segmentation, churn, LTV) Pricing and optimisation models Experimental design and causal inference Natural Language Processing (within a traditional ML framework as well as LLM‐based ...

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 … areas: 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 Data Engineering: including platforms like Databricks for data processing and analytics Building a truly diverse, equitable, and inclusive ...

capabilities where relevant (e.g. data lineage, governance, feature management, and model integration patterns). Collaborate with wider technical teams to define integration approaches for predictive analytics, generative AI services, or model-driven systems. Recognise and address architectural implications of model lifecycle management (versioning, replicability, and auditability). Client ...

capabilities where relevant (e.g. data lineage, governance, feature management, and model integration patterns). Collaborate with wider technical teams to define integration approaches for predictive analytics, generative AI services, or model-driven systems. Recognise and address architectural implications of model lifecycle management (versioning, replicability, and auditability). Client ...

channels to improve services. 2. Fraud Detection and Prevention Real-Time Monitoring : Implement AI algorithms to detect and flag unusual transactions in real-time. Predictive Analytics : Use machine learning models to predict potential fraud based on historical data and behavioural patterns. 3. Loan Processing Automation Credit Scoring ...

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 ...

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 ...

critical solution to their business needs. The ideal candidate has a consistent track record of success selling enterprise software - preferably in Business Intelligence, Analytics, or Data platforms—and thrives in high-stakes, multi-threaded deal environments. This is a strategic role for someone who brings deep commercial acumen, strong … engagements at scale, using real‐time data to dynamically tailor messaging, demos, and proposals Continuously experiment with emerging tools (e.g., conversational AI, autonomous agents, predictive analytics, and AI‐powered deal coaching) and share best practices across the organization Harness AI‐driven insights to craft highly personalized messaging that ...

critical solution to their business needs. The ideal candidate has a consistent track record of success selling enterprise software – preferably in Business Intelligence, Analytics, or Data platforms—and thrives in high‐stakes, multi‐threaded deal environments. This is a strategic role for someone who brings deep commercial acumen, strong … engagements at scale, using real‐time data to dynamically tailor messaging, demos, and proposals Continuously experiment with emerging tools (e.g., conversational AI, autonomous agents, predictive analytics, and AI‐powered deal coaching) and share best practices across the organization Harness AI‐driven insights to craft highly personalized messaging that ...

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 (R) platform help clients measure market share, uncover consumer behaviour, and drive growth—powered 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 Food service to position Circana as a thought leader ...

annum Industry: Technology – Gaming Platforms Our Client is a premier provider of high‐volume software solutions for the global iGaming and predictive analytics sector. With a footprint spanning the USA, UK, and Europe, they partner with industry leaders to engineer sophisticated platforms for sports wagering, prize‐based systems ...

decisions. Within our Global Banking & Markets business, CommoditiesStrats sit on trading floors and provide value for both internal & external clients through cutting-edge models, predictive analytics, and high-quality trading tools. We are a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive ...

Depository Trust & Clearing Corporation in Greater London seeks an Embedded Risk Manager to integrate advanced analytics and AI-driven insights into risk management processes. With a focus on predictive analytics, the role aims to enhance risk visibility and improve control effectiveness. Ideal candidates will have a minimum ...