126 to 150 of 169 Predictive Analytics Jobs in the UK

so that they directly contribute to business growth Learning Management System (LMS) and AI Integration: Use AI applications to create personalised learning experiences and predictive analytics to anticipate training needs. Use AI driven tools to design and deliver L&D solutions, enhancing programme effectiveness. Manage, review and evolve More ❯

innovator in machine learning fraud prevention and protect consumers everywhere. You have in-depth experience in fraud prevention, cyber security, payments, big data or predictive analytics markets and are excited to establish and develop Feedzai's relationships with Tier 1 Banks. You will lead the creation, development and More ❯

tools across Amazon to deploy, monitor, and operate the hundreds of thousands of services that power our highly distributed architecture. Our tools include orchestration, predictive analytics, monitoring, problem diagnosis, and automated repair. These let us deploy configurations that intelligently manage how traffic flows through our highly distributed architecture More ❯

solution he wished he had from day one: Nory. Nory is an all-knowing restaurant management system. It combines real-time data with AI predictive analytics to help restaurants operate with consistency, certainty and profitability. From food prep to forecasting, Nory puts operators in control of their margins. More ❯

Must be authorized to work in the United Kingdom and reside in Scotland. Preferred Qualifications: Mid-Advanced Python Programming experience. Familiarity with AIOps and predictive analytics for monitoring. Basic knowledge of log aggregation pipelines and event-driven architectures. Experience with Azure, AKS, Azure Application Insights (AppInsights) for telemetry More ❯

so that they directly contribute to business growth Learning Management System (LMS) and AI Integration: Use AI applications to create personalised learning experiences and predictive analytics to anticipate training needs. Use AI driven tools to design and deliver L&D solutions, enhancing programme effectiveness. Manage, review and evolve More ❯

Real-time industrial process monitoring , enhancing efficiency in pharmaceuticals, aerospace, and food production. AI-driven Digital Twins , transforming industrial operations through machine learning and predictive analytics. Key Responsibilities: Own the full electronics design process , from concept to production. Lead schematic capture, PCB layout, and component selection . Develop high More ❯

Real-time industrial process monitoring , enhancing efficiency in pharmaceuticals, aerospace, and food production. AI-driven Digital Twins , transforming industrial operations through machine learning and predictive analytics. Key Responsibilities: Own the full electronics design process , from concept to production. Lead schematic capture, PCB layout, and component selection . Develop high More ❯

Real-time industrial process monitoring , enhancing efficiency in pharmaceuticals, aerospace, and food production. AI-driven Digital Twins , transforming industrial operations through machine learning and predictive analytics. Key Responsibilities: Own the full electronics design process , from concept to production. Lead schematic capture, PCB layout, and component selection . Develop high More ❯

advisor to senior stakeholders, providing strategic insights on how technology can address evolving customer experience needs. Optimise omnichannel support, workforce management, and real-time analytics for enhanced service delivery. Identify opportunities to incorporate AI-driven automation and predictive analytics to improve CX outcomes. Migration & Delivery Management: Plan More ❯

projects and your day job typically consists of: Help build and improve the algorithms in a scalable manner for AI-based anomaly detection and predictive modelling. Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular, etc.). Develop computer … models and perform predictive and prescriptive analytics for various applications. Build Proof of Concepts in notebooks, integrate these algorithms into the operational flow of the customer, train the users, and provide support. Interface with various data sources over various connector pipelines (SQL, Elasticsearch, Kafka, REST APIs, etc.). … Tune algorithms and data pipelines for optimal performance. Train, tune, and deploy anomaly detection and predictive models on industrial or IoT data. Knack/experience in consultancy services. Qualifications: Previous hands-on experience in Data Science, delivering machine learning models to production. Bachelor's or Master's degree in More ❯

enhance operational efficiency and customer experience. Manage and deliver complex technology projects on time and within budget, ensuring high-quality outcomes. Data Management and Analytics: Implement data governance models and advanced analytics solutions to enhance decision-making and business insights. Lead initiatives in big data augmentation and predictive … solutions. Deep domain expertise in asset management, private equity, and the shipping industry. Experience in delivering technology projects in the shipping industry, including data analytics platforms. Hands-on experience with a variety of technologies such as Microservices, .NET Core, Angular, React, Node, Java, Azure/AWS/Docker, ML More ❯

and scaling of our SaaS platform, ensuring reliability, security, and performance. AI and Machine Learning: Lead the integration and optimization of AI-driven insights, predictive analytics, and Digital Twin technology. Team growth and mentorship: Build, lead, and mentor a high-performing engineering team, fostering a culture of innovation More ❯

their potential impact on enhancing advertising efficiency, personalisation, and privacy compliance. Provide guidance on industry trends, including the adoption of AI-driven marketing automation, predictive analytics, and real-time media bidding strategies. Respond to day-to-day inquiries from internal departments and clients regarding AdTech and MarTech topics. More ❯

Are you an experienced Business Process Improvement Specialist with strong analytical and solution-finding skills? Do you have experience with process improvement or business analytics? If so, we want you to be part of the SHL Team! As a Business Process Improvement Specialist , you will identify process inefficiencies and … management strategies to ensure quality across projects. What we are looking for: Essential: 2+ years of experience in data analysis, process improvement, or business analytics, preferably in a SaaS setting. Proficiency in Excel, SQL, and data visualization tools (Power BI, Tableau, etc.). Experience with process mapping tools (Visio … stakeholder management skills. Desirable: Knowledge of automation tools (Power Automate, Python, RPA). Experience with Python for data analysis. Understanding of machine learning or predictive analytics. Familiarity with BPM methodologies. Get in touch: Learn how this opportunity can help you achieve your career goals by applying to our Talent More ❯

customers can collaborate securely with transparency and trust as the foundation. Today Resilinc's flagship supply chain visibility, mapping and AI-powered monitoring and predictive analytics platform is widely considered the Gold Standard for resilience. We wake up every day with the power of our important Mission driving More ❯

The Role We seek a Lead Data Analyst to understand customer behavior and support our D2C growth. Responsibilities include developing a data ecosystem, leveraging analytics tools, optimizing marketing and product performance, and collaborating with data teams. The role reports to the VP of Measurement and Analytics, based in … potential travel to New York. What Does It Take? Essential Criteria: Experience in D2C, subscription, or e-commerce businesses. Proficiency in SQL, Python, and analytics tools like GA4, Adobe, Piano. Understanding of customer funnel, acquisition, retention, segmentation. Ability to present data insights to stakeholders; experience with visualization tools (Tableau … Power BI) is desirable. Strong business acumen and communication skills. Desirable Criteria: Expertise in advanced analytics, forecasting, predictive analytics. Knowledge of marketing principles and digital channels. Experience with retention models, cohorts, lifetime value. Understanding of content engagement strategies. Collaborative and innovative mindset. Life at BBC Studios We value More ❯

scalable and secure machine learning operations (MLOps) pipelines for efficient model deployment or integration of AI capabilities such as generative AI, intelligent automation, and predictive analytics into our business processes. About you The ideal candidate for this role will have proven experience as a Data-Architect or in … a similar role, delivering enterprise-level data and AI solutions. Additionally, you will have experience in: Building and managing medallion architecture, MLOps and advanced analytics solutions Knowledge of Databricks and how it can be a part of a modern data architecture Knowledge of automation frameworks to integrate small-scale More ❯

the right position! Hadoop/Java/R London (UK) We need a resource with at least 10 years of overall experience who has predictive analytics experience using R language. Projects will be in Switzerland with other experts and senior experts from different IT fields working together to … management sector and big data technology is required. The resource should be able to communicate with business stakeholders, understand business requirements, and help design analytics dashboards. Those interested and who meet the above conditions, please send your CV together with personal details by e-mail to . More ❯

trust networking, data encryption, and robust incident response protocols. Lead initiatives to improve reliability, such as implementing advanced observability tools (e.g., AI-driven monitoring, predictive analytics) and enhancing disaster recovery plans. Embed operational excellence into enterprise architecture through automation, proactive capacity planning, and adherence to industry best practices More ❯

day workload whilst overseeing the long-term developments of data from the Customer Data Warehouse, source systems and future roll out of advanced/predictive analytics. · have the strategic vision to develop and create a BI analytical centre of excellence for the business, with detailed knowledge of Qlik platform. … creating “once source of truth” in Qlik ( or any other data insights platform). drive the strategy and implementation of Business Intelligence Insights and Analytics across the business managing the day-to-day workload whilst overseeing the long-term developments of data from the Customer Data Warehouse, source systems … and future roll out of advanced/predictive analytics. Develop the strategic vision and create a BI analytical centre of excellence for the business. Strong technical experience, including knowledge of SQL/MySQL and advanced Excel skills including VBA; experience in data visualization tools (eg. QlikView, Power BI, Tableau More ❯

C# with Spring Boot or .NET Core. Integrations: Market data feeds (e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks … for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Cloud Technologies: Providers: AWS (EC2, Lambda), Azure (AKS), or Google Cloud (BigQuery). Containers: Docker, Kubernetes for scalable deployments. Serverless: AWS Lambda or Azure Functions. DevOps and More ❯

C# with Spring Boot or .NET Core. Integrations: Market data feeds (e.g., Refinitiv, Bloomberg). Data Platforms: Warehouses: Snowflake, Google BigQuery, or Amazon Redshift. Analytics: Tableau, Power BI, or Looker for client reporting. Big Data: Apache Spark or Hadoop for large-scale processing. AI/ML: TensorFlow or Databricks … for predictive analytics. Integration Technologies: API Management: Apigee, AWS API Gateway, or MuleSoft. Middleware: Red Hat Fuse or Kafka for asynchronous communication. Cloud Technologies: Providers: AWS (EC2, Lambda), Azure (AKS), or Google Cloud (BigQuery). Containers: Docker, Kubernetes for scalable deployments. Serverless: AWS Lambda or Azure Functions. DevOps and More ❯

shaping the BBC's D2C strategy. The Lead Data Analyst will lead the development and implementation of a data and insights ecosystem, leveraging advanced analytics and proprietary tools to support all aspects of the acquisition and engagement funnel. The role also involves optimizing performance of product and marketing initiatives … to develop new KPIs and reporting to steer the 0-1 growth of the D2C business. Reporting to the Vice President of Measurement and Analytics, this role is a full-time hybrid working position based in London. The role may require travel to New York. WHAT DOES IT TAKE … to-consumer, subscription, or ecommerce business. Highly data literate with excellent skills in analyzing data using programmatic methods such as SQL, Python, and data analytics tools such as GA4, Adobe, or Piano. Deep understanding of the customer funnel, including acquisition, retention, and customer segmentation strategies. Proven experience in deriving More ❯

to £95,000 + 10-30% bonus + benefits 🏠 Location: Hybrid, London HQ 🧩 Interview process: 3 stages 📢 Reporting to: Head of Data & Analytics 👏 Company size: ~1000 (~40 in data) 🎯 Working on: Predictive Modelling Revenue Forecasting/FinOps Demand Forecasting Churn You'll be taking your insights and using … only in the data team but across the business! We're looking for: Extensive experience in data science, with a strong background in building predictive models and analytics solutions. Experience working in a fast-paced or scaling-business Expertise in statistical analysis, machine learning, and data-driven decision More ❯