151 to 175 of 183 Predictive Analytics Jobs in England

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 ❯

VoC) Leadership Establish and lead Nuvei's global VoC programme to systematically capture, analyse, and act on customer feedback from multiple channels Partner with Analytics and Insights teams to deliver actionable VoC insights that inform product, service, and operational improvements Create and manage governance processes to prioritise VoC-driven … and retention rates, to evaluate performance globally Ensure consistent reporting on CX metrics to senior leadership, highlighting progress, trends, and areas for improvement Use predictive analytics to forecast customer needs and improve proactive engagement strategies Cross-Functional Leadership & Alignment Serve as the primary advocate for customer-centric practices 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

also have regular interaction with our fantastic Data Analysts and Technical Business Analysts You should apply if you have: 3+ years of data engineering, analytics or machine learning experience Advanced skills in Python and SQL Experience with Airflow, Prefect or other task orchestration tools Familiarity with modern data stack … us, you will be diving into a world of data-driven exploration and innovation, revolutionising financial insights through cutting-edge technologies, machine learning and predictive analytics. Your contributions will shape the future of cross-border finance, helping clients to uncover better paths to growth and profitability, as well as More ❯

start-up. La Fosse have partnered with a well-funded SaaS company that is transforming workforce management through cutting-edge AI-driven forecasting and predictive models. The platform helps businesses optimise staffing based on predicted sales, leveraging data from multiple sources such as weather patterns, events, and historical trends. … in refining the models. Key Responsibilities: Develop and refine forecasting models to predict daily sales patterns. Integrate external factors (e.g., weather, sporting events) into predictive analytics. Provide technical expertise on model development and implementation. Optimise model performance for real-world business impact. Ideal Requirements: 2-10 years' experience in … data science and predictive modelling. Strong background in revenue forecasting, demand prediction, or similar fields. Proficiency in Python, SQL, AWS and experience with ML frameworks. Experience in Computer Vision is a plus. Strong academic background (master's from Cambridge, UCL, Imperial, or similar preferred). Why Join? Be part More ❯

start-up. La Fosse have partnered with a well-funded SaaS company that is transforming workforce management through cutting-edge AI-driven forecasting and predictive models. The platform helps businesses optimise staffing based on predicted sales, leveraging data from multiple sources such as weather patterns, events, and historical trends. … in refining the models. Key Responsibilities: Develop and refine forecasting models to predict daily sales patterns. Integrate external factors (e.g., weather, sporting events) into predictive analytics. Provide technical expertise on model development and implementation. Optimise model performance for real-world business impact. Ideal requirements: 2-10 years' experience in … data science and predictive modelling. Strong background in revenue forecasting, demand prediction, or similar fields. Proficiency in Python, SQL, AWS and experience with ML frameworks. Experience in Computer Vision is a plus. Strong academic background (master's from Cambridge, UCL, Imperial, or similar preferred). Why Join? Be part More ❯

range of clients across financial services and utilities. The Role Joining a high-performing Decision Science team, your remit will involve end-to-end predictive modelling and analytics. You’ll play a vital role in shaping strategic decisions across the business. Key Responsibilities: Develop and optimise scorecards and pricing … for commercial stakeholders Work closely with operational teams to embed models and monitor performance Drive innovation by supporting the team’s growth in advanced analytics and machine learning techniques Candidate Profile You’ll need either: A Master’s or PhD in a STEM subject or 1–2 years’ relevant More ❯

of design elements. Digital Marketing: Plan and execute digital marketing campaigns, including SEO, SEM, and social media. Analyze website and campaign performance using Google Analytics and other tools. Optimize content for search engines and user engagement. Develop strategies for lead generation and brand awareness. Mobile Application Development: Develop and … end services and third-party APIs. AI Experience (Preferred): Leverage AI/ML for improving user experience and personalization. Implement chatbots, recommendation systems, and predictive analytics. Work with AI frameworks such as TensorFlow, PyTorch, or OpenAI APIs. ERP System Automation: Develop and automate ERP workflows for seamless business operations. More ❯

just sit in a report—but directly shaped how a multi-billion-pound business operates? This is your chance to step into a Senior Analytics Business Partner role where data isn’t just valued—it’s pivotal. Responsibilities Build trusted relationships across the business—becoming the go-to person … for data-led decision making. Turn complex datasets into clear, actionable stories that drive performance. Lead deep-dive investigations, predictive modelling, and innovative analytics projects. Present directly to senior stakeholders—your voice will be heard. Spot opportunities others miss—help shape strategy, not just report on it. Required … Bonus points if you know your way around retail, logistics, healthcare, or wholesale sectors. Pay range and compensation package This isn’t just another analytics role. It’s your platform to drive change, challenge thinking, and make your mark in a business where data is driving the future. Equal More ❯

and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience of insurance/reinsurance pricing techniques Experience in developing models in Python Experience in customer facing More ❯

and client delivery. Stay updated with regulatory changes, market trends, and actuarial best practices. Required Skills & Experience: Production grade Python experience 2+ years of predictive modelling and advanced analytics methods experience Experience of insurance/reinsurance pricing techniques Experience in developing models in Python Experience in customer facing More ❯