126 to 150 of 169 Predictive Analytics Jobs in England

is key to maintaining and evolving our data platform, supporting both ongoing enhancements and greenfield development. You will work on data integration, ETL pipelines, analytics, and AI-driven insights, ensuring robust data solutions that support business growth. You will be responsible for designing, building, and optimising Azure Data Factory … populating data schemas), Azure Data Lake, and Power BI, and integrating machine learning and AI models into our data processes. Experience with Azure Synapse Analytics is beneficial as we explore future capabilities. Collaboration is central to the role. You will work within an Agile Scrum environment, using Azure DevOps … reliability and performance. ETL Development: Skilled in designing and optimising ETL workflows, with knowledge of best practices for data transformation, validation, and loading. Data Analytics & Machine Learning Power BI: Proficiency in developing, publishing, and managing Power BI reports and dashboards, with strong data visualisation skills. SQL & Data Management: Advanced More ❯

Hybrid 3 days onsite, 2 days remote. You will be leveraging your analytical skills and programming experience to extract insights from complex datasets, develop predictive models and support decision making. KEY RESPONSIBILITIES Data Analysis & Modelling: -Analyse large, complex datasets to identify trends, patterns, and actionable insights. -Develop, implement, and … Education: -Bachelors degree in data science, Statistics, Mathematics, or a related field. Experience: -2 or more years of experience in a data science or analytics role. -Proven experience in building machine learning models, statistical analysis, and predictive analytics. -Experience designing experiments or modelling approaches to solve a specified More ❯

offerings that resonate with consumers, ensuring every decision aligns with market demand and delivers financial impact. With 17 years of innovation in AI and predictive analytics, First Insight empowers businesses across industries-including retail, apparel, footwear, automotive, home goods, CPG, and hospitality-to outpace competitors by deeply understanding … solutions across functional teams within customer organization QUALIFICATIONS AND SKILLS: Bachelors Degree from an accredited college or university in Business/Planning/Business Analytics degree Ideal candidates will possess technology and SaaS Platform experience Brand/Retail/go-to-market experience is desirable Ideal candidates will have More ❯

edge technology with top-tier expertise. Backed by a government grant, they are developing a groundbreaking platform that delivers real-time market insights and predictive analytics for financial professionals. As a Junior Software Engineer (C#/.Net Core) are you ready to help develop and revolutionise the backend More ❯

frameworks, ITT/PQQ processes, and defence funding mechanisms Naval Architecture & Ship Systems: Understanding of hull design, power systems, and survivability technologies AI & Advanced Analytics: Familiarity with AI-driven decision support, data fusion, and predictive analytics in maritime operations Clearance Requirements: Pre-screening to Start BPSS Clearance More ❯

frameworks, ITT/PQQ processes, and defence funding mechanisms Naval Architecture & Ship Systems Understanding of hull design, power systems, and survivability technologies AI & Advanced Analytics Familiarity with AI-driven decision support, data fusion, and predictive analytics in maritime operations Clearance Requirements: Pre-screening to Start BPSS ?Clearance 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯