126 to 150 of 195 Predictive Analytics Jobs in England

concepts in DevOps and Agile principles Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, event-driven IT, predictive analytics, machine learning and artificial intelligence General IT Knowledge (applications, storage, networks, IT infrastructure, Infrastructure, service level agreements, Asset management etc) Familiarity with information management practices, system development More ❯

Senior CRM & CX Manager, Global CIX (Mat Cover) Ref #: W162740 Department: Data Analytics City: London State/Province: London Location: United Kingdom Company Description Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph … products, creating worlds and inviting people to take part in his dream and his lifestyle. The Consumer Intelligence and Experience (CIX) organization is focused on leveraging consumer insights and predictive analytics to drive personalized consumer experiences at scale. This team manages all aspects of market research, customer segmentation, first party data build up and consumer activation (Acquisition and … business segments, including results packaging and development of management presentations Team management and leadership, communications and building collaborative internal relationships Strong hands-on experience working with real-world advanced analytics and data challenges and managing a complex portfolio and multiple stakeholders in a fast moving, dynamic and matrixed team and business environment More ❯

solutions. Collaborate with internal stakeholders and external partners to co-create solutions that deliver measurable business value. Champion data architecture and insights, supporting the journey from operational reporting to predictive analytics and AI. Ensure adherence to best practices in solution delivery, including testing, documentation, and governance. Set strategy and deliver data driven projects including data migration. About You More ❯

results What we're looking for At least 7+ years experience in a deeply analytical role, ideally within SME or retail lending environment Strong understanding of scorecard modelling/predictive analytics/machine learning Ph.D. in a quantitative field (Finance, Mathematics, Economics, Engineering ) Excellent quantitative skills, with very strong strategic thinking Strong leadership skills and ability to influence More ❯

QAE Practice. You will have the opportunity to join an award-winning Quality Assurance & Engineering team working on cutting-edge technologies, including AI/GenAI for test automation and predictive analytics. Key to this role is the ability to lead and inspire a team, fostering a collaborative and productive environment. This role involves both hands-on leadership of automation More ❯

The Role: We’re looking for a Senior Full stack Engineer with a strong background in analytics, data pipelines, and marketing automation . You’ll lead the development of data-driven features , enabling enterprises to measure and optimize their digital business card interactions. As part of this role, you’ll help migrate our backend from Flask to Django , ensuring … a scalable and well-structured API design. Responsibilities Design and develop analytics and reporting tools , providing insights into user engagement and marketing performance. Build and optimize data pipelines for tracking and processing user interactions. Work closely with co-founders and product leaders to architect new marketing and analytics features . Support the migration from Flask to Django Adapt … RESTful APIs to support integrations with CRM, marketing automation, and analytics platforms. Enhance the frontend using React and TypeScript , ensuring intuitive visualization of analytics data. Implement event tracking, attribution models, and A/B testing frameworks . Deploy and monitor applications using AWS (EC2, S3, CloudFormation, ECS) . Ensure data security, compliance, and performance optimization. Requirements: 4+ years More ❯

The Role: We’re looking for a Senior Full stack Engineer with a strong background in analytics, data pipelines, and marketing automation . You’ll lead the development of data-driven features , enabling enterprises to measure and optimize their digital business card interactions. As part of this role, you’ll help migrate our backend from Flask to Django , ensuring … a scalable and well-structured API design. Responsibilities Design and develop analytics and reporting tools , providing insights into user engagement and marketing performance. Build and optimize data pipelines for tracking and processing user interactions. Work closely with co-founders and product leaders to architect new marketing and analytics features . Support the migration from Flask to Django Adapt … RESTful APIs to support integrations with CRM, marketing automation, and analytics platforms. Enhance the frontend using React and TypeScript , ensuring intuitive visualization of analytics data. Implement event tracking, attribution models, and A/B testing frameworks . Deploy and monitor applications using AWS (EC2, S3, CloudFormation, ECS) . Ensure data security, compliance, and performance optimization. Requirements: 4+ years More ❯

driven organisation. As part of this strategic move, they're transitioning from Idea to Discovery phase and need a Data Architect to help shape the future of data governance, predictive analytics, and regulatory insight. The Opportunity: This is more than a technical role – it's about building the foundations of a modern data estate. You'll be the … ML Ops pipeline. You'll work closely with an Enterprise Architect and key stakeholders to create structure, define workstreams, and bring external data sources into the fold to support predictive regulatory analytics. Key Responsibilities: Define and implement a scalable data architecture that aligns with regulatory and business goals. Lead the implementation of a Data Catalogue and Governance Suite (e.g. … establish data ownership and governance. Enable a Data-Driven Operating Model (DDOM) – embedding data literacy and strategy across the organisation. Support the foundations of an ML Ops environment for predictive analytics and behavioural insight. Liaise confidently across all levels – from technical teams to senior leadership. About You: Proven experience as a Data Architect within a regulated environment (e.g. More ❯

market impact Provide full-funnel marketing leadership: Paid Search, Paid Social, CRM, SEO, ASO, Retargeting, and Display Lead and inspire teams of circa 100 people Leverage advanced martech and analytics platforms to inform strategic decisions and optimise performance Drive the integration and continuous optimisation of a robust, scalable marketing technology stack, ensuring seamless data flow and actionable insights across … all channels Champion the use of attribution modelling to accurately measure and optimise channel performance, customer journeys, and marketing RO Implement advanced data modelling, predictive analytics, dashboarding, and reporting automation to support decision-making and performance tracking Utilise machine learning and generative AI to surface deep insights, automate routine tasks, and hyper-personalise user journeys Forge and nurture … CRM, SEO, ASO, Retargeting, and Display Deep technical expertise in martech stack design, integration, and optimisation, with a focus on scalability, interoperability, and ROI Advanced skills in data modelling, predictive analytics, dashboarding, and reporting automation Mastery of modern marketing analytics platforms, attribution modelling, and the application of machine learning and gen-AI for insight generation and personalisation More ❯

market impact Provide full-funnel marketing leadership: Paid Search, Paid Social, CRM, SEO, ASO, Retargeting, and Display Lead and inspire teams of circa 100 people Leverage advanced martech and analytics platforms to inform strategic decisions and optimise performance Drive the integration and continuous optimisation of a robust, scalable marketing technology stack, ensuring seamless data flow and actionable insights across … all channels Champion the use of attribution modelling to accurately measure and optimise channel performance, customer journeys, and marketing RO Implement advanced data modelling, predictive analytics, dashboarding, and reporting automation to support decision-making and performance tracking Utilise machine learning and generative AI to surface deep insights, automate routine tasks, and hyper-personalise user journeys Forge and nurture … CRM, SEO, ASO, Retargeting, and Display Deep technical expertise in martech stack design, integration, and optimisation, with a focus on scalability, interoperability, and ROI Advanced skills in data modelling, predictive analytics, dashboarding, and reporting automation Mastery of modern marketing analytics platforms, attribution modelling, and the application of machine learning and gen-AI for insight generation and personalisation More ❯

market impact Provide full-funnel marketing leadership: Paid Search, Paid Social, CRM, SEO, ASO, Retargeting, and Display Lead and inspire teams of circa 100 people Leverage advanced martech and analytics platforms to inform strategic decisions and optimise performance Drive the integration and continuous optimisation of a robust, scalable marketing technology stack, ensuring seamless data flow and actionable insights across … all channels Champion the use of attribution modelling to accurately measure and optimise channel performance, customer journeys, and marketing RO Implement advanced data modelling, predictive analytics, dashboarding, and reporting automation to support decision-making and performance tracking Utilise machine learning and generative AI to surface deep insights, automate routine tasks, and hyper-personalise user journeys Forge and nurture … CRM, SEO, ASO, Retargeting, and Display Deep technical expertise in martech stack design, integration, and optimisation, with a focus on scalability, interoperability, and ROI Advanced skills in data modelling, predictive analytics, dashboarding, and reporting automation Mastery of modern marketing analytics platforms, attribution modelling, and the application of machine learning and gen-AI for insight generation and personalisation More ❯

Lead Data Scientist London Up to £95,000 + bonus + benefits Our Client We're helping a global ecommerce marketplace build out their Data & Analytics teams. With over 20,000 employees in 41 locations around the world, our client traverses a number of consumer industries. They are passionate about transforming the ecommerce sector by investing in and deploying … to hyper-personalise their customer experience. In addition this, at a leadership level, Data Scientists work as internal consultants within the business, advising executive teams on all things concerning predictive analytics and machine learning. What a Lead Data Scientist role will involve A hybrid role which is both hands-on with building models and involves consulting throughout the … language including Python, Java, C/C++, R. That you can work in a cross-functional environment, managing stakeholders across multiple stakeholders and translating research into practical solutions for predictive analytics. Experience in solution design, architecting and outlining data analytics pipelines and flows. Advanced Mathematics skills including experience with Bayesian statistics, linear algebra and MVT calculus, advanced data More ❯

opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models … improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. More ❯

opportunity to work on high-impact projects that directly influence customer engagement, marketing effectiveness, and business growth. The Role As a Senior Data Scientist, you will: Develop and deploy predictive models to enhance customer targeting and engagement. Work on churn prediction to help improve customer retention strategies. Apply customer segmentation techniques to optimise marketing campaigns. Build marketing attribution models … improve campaign performance. Collaborate with stakeholders across the business to translate insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. More ❯

Location: LSBU Business School, London ⸻ Project Overview Join a cutting-edge research project to develop Carbon Awareness as a Service (CAaaS)—a platform integrating real-time carbon monitoring, predictive analytics, and adaptive scheduling to help industries reduce emissions without compromising productivity. The project includes: • Real-time telemetry, region-specific emissions visualisation, and dashboards • AI-powered forecasting and optimisation … This research is positioned at the intersection of AI, green computing, and cloud systems, advancing both environmental goals and operational efficiency. ⸻ Research Themes • Real-time emissions telemetry and visual analytics • Forecasting and prescriptive optimisation for carbon-aware scheduling • Secure, auditable data pipelines and carbon-credit integration • Policy alignment and lifecycle assessment for sustainable digital operations ⸻ Ideal Candidate Profile • First More ❯

development of advanced machine learning models that support a broad spectrum of defence applications, including real-time object detection, multi-sensor data fusion, anomaly detection in complex systems, and predictive analytics for operational readiness. The role sits within a multidisciplinary engineering team, collaborating closely with software developers, data scientists, and subject matter experts to design, train, validate, and More ❯

be joining a multidisciplinary team focused on developing and deploying machine learning models across a variety of complex defence use cases-ranging from autonomous systems and surveillance technologies to predictive analytics and decision-support platforms. Key Responsibilities: Designing and implementing robust ML models suited to real-time or mission-critical defence environments Processing and analysing complex datasets, including More ❯

Software Engineering Manager (London) About Circadia Health Circadia Health is a growth‐stage healthcare AI company transforming senior care with predictive analytics and agentic AI workflows. We have raised $30M+ from Village Global, Headline, and executives at Zoom, Walgreens, and leading healthcare operators , and our technology now touches 40,000+ patients daily across post‐acute and home‐health More ❯

Software Engineering Manager (London) About Circadia Health Circadia Health is a growth‐stage healthcare AI company transforming senior care with predictive analytics and agentic AI workflows. We have raised $30M+ from Village Global, Headline, and executives at Zoom, Walgreens, and leading healthcare operators , and our technology now touches 40,000+ patients daily across post‐acute and home‐health More ❯

Ago job requisition id JR515 At Socure, we're on a mission-to verify 100% of good identities in real time and eliminate identity fraud from the internet. Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS, Socure has created the most accurate identity verification and fraud prevention platform in the world. More ❯

from multiple sources. Collaborate with cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate, transparent, and timely capacity data. More ❯

from multiple sources. Collaborate with cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate, transparent, and timely capacity data. More ❯

technology and core networking control. Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, event-driven IT and predictive analytics. Familiarity with information management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure and operations, and EA and ITIL frameworks. Exceptional soft and More ❯

technology and core networking control. Knowledge of business ecosystems, SaaS, infrastructure as a service (IaaS), platform as a service (PaaS), SOA, APIs, open data, microservices, event-driven IT and predictive analytics. Familiarity with information management practices, system development life cycle management, IT services management, agile and lean methodologies, infrastructure and operations, and EA and ITIL frameworks. Exceptional soft and More ❯

optimise pricing strategies for the renewal portfolio. The role will work closely with teams across Pricing, Underwriting, and Customer Retention to design and implement renewal pricing models, leveraging advanced analytics and machine learning techniques to achieve business goals. My client is headquartered in London but this role is fully remote. Responsibilities: Stay updated on competitor activity and market trends … to ensure renewal pricing remains competitive and aligned with industry standards Apply predictive analytics to identify high-risk customers and recommend pricing strategies to enhance retention Perform detailed analyses of renewal performance metrics, including retention rates, loss ratios, gross written premium (GWP), and income, to identify opportunities for improvement Requirements: At least 2 years of experience in a … pricing or data analysis role, preferably within the insurance industry Proficiency in data analysis tools such as Excel, SAS, Python, or R Strong knowledge of predictive analytics, machine learning techniques, and demand modeling High attention to detail, with a keen ability to spot trends and anomalies in large data sets More ❯