76 to 100 of 130 Clustering Jobs in England

marketing insights . Confident communication and stakeholder management . Experience working with Google Analytics data Experience in advanced customer analytics, segmentations, lifetime value models, clustering A passion for sport APPLY NOW More ❯

marketing insights . Confident communication and stakeholder management . Experience working with Google Analytics data Experience in advanced customer analytics, segmentations, lifetime value models, clustering A passion for sport APPLY NOW More ❯

business needs into technical specifications for database structures. Implementation of best practices. Configure and maintain solutions such as SQL Server AlwaysOn Availability Groups, database clustering and mirroring to ensure business continuity. Test and develop database recovery and backup procedures. What we are looking for: Proven experience in data engineering and More ❯

business needs into technical specifications for database structures. Implementation of best practices. Configure and maintain solutions such as SQL Server AlwaysOn Availability Groups, database clustering and mirroring to ensure business continuity. Test and develop database recovery and backup procedures. What we are looking for: Proven experience in data engineering and More ❯

Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

business needs into technical specifications for database structures. Implementation of best practices. Configure and maintain solutions such as SQL Server AlwaysOn Availability Groups, database clustering and mirroring to ensure business continuity. Test and develop database recovery and backup procedures. What we are looking for: Proven experience in data engineering and More ❯

Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

Science or Engineering). At least 1 - 2 years of experience in quantitative analytics or data modelling. Deep understanding of predictive modelling, machine learning, clustering and classification techniques. Fluency in a programming language (Python, C, C++, Java, SQL). Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark More ❯

with C#, .NET, SQL Server, and NoSQL databases like MongoDB Knowledge of CI/CD pipelines such as Jenkins Understanding of database operations and clustering Experience with cloud platforms such as AWS or Azure Experience working with large-scale systems On offer: Annual bonus 25 days leave plus bank holidays More ❯

EDRM) Use of eDiscovery technology, specifically Relativity and Nuix, with experience in data processing, data ingestion, database setup, searching, production, threading, near de-duplication, clustering, and active learning Strong documentation and communication skills, including effective collaboration with case teams, eDiscovery team, and service providers Experience working within a similar team More ❯

databases) Experience working with message brokers i.e. RabbitMQ, ServiceBus or Kafka Good understanding of pipelines such as Jenkins Good understanding of database operations and clustering Prior experience with the likes of WinForms, WCP or WPF Understanding of either AWS, Azure or other cloud environments Experience with large scale systems On More ❯

databases) Experience working with message brokers i.e. RabbitMQ, ServiceBus or Kafka Good understanding of pipelines such as Jenkins Good understanding of database operations and clustering Prior experience with the likes of WinForms, WCP or WPF Understanding of either AWS, Azure or other cloud environments Experience with large scale systems On More ❯

databases) Experience working with message brokers i.e. RabbitMQ, ServiceBus or Kafka Good understanding of pipelines such as Jenkins Good understanding of database operations and clustering Prior experience with the likes of WinForms, WCP or WPF Understanding of either AWS, Azure or other cloud environments Experience with large scale systems On More ❯

databases) Experience working with message brokers i.e. RabbitMQ, ServiceBus or Kafka Good understanding of pipelines such as Jenkins Good understanding of database operations and clustering Prior experience with the likes of WinForms, WCP or WPF Understanding of either AWS, Azure or other cloud environments Experience with large scale systems On More ❯

Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries. Model Hosting and Monitoring: Host More ❯

or partners involved in data projects Performance Optimisation: Monitor and optimise Snowflake performance, including query tuning, warehouse sizing, and resource usage Implement data partitioning, clustering, and caching strategies for efficient querying Security & Compliance: Implement data governance, access control, and security policies across Snowflake environments Ensure data architecture supports compliance with More ❯

Business Intelligence, CRM & Engagement, and Advanced Analytics. THE ROLE They’re looking for a data professional with experience in building predictive models—particularly around clustering and churn—as well as customer segmentation and journey analysis. You'll work across two main streams: standard analytics (like campaign performance and segmentation) and More ❯

business needs into technical specifications for database structures. Implementation of best practices. Configure and maintain solutions such as SQL Server AlwaysOn Availability Groups, database clustering and mirroring to ensure business continuity. Test and develop database recovery and backup procedures.What we are looking for: Proven experience in data engineering and database More ❯

Business Intelligence, CRM & Engagement, and Advanced Analytics. THE ROLE They’re looking for a data professional with experience in building predictive models—particularly around clustering and churn—as well as customer segmentation and journey analysis. You'll work across two main streams: standard analytics (like campaign performance and segmentation) and More ❯

Business Intelligence, CRM & Engagement, and Advanced Analytics. THE ROLE They’re looking for a data professional with experience in building predictive models—particularly around clustering and churn—as well as customer segmentation and journey analysis. You'll work across two main streams: standard analytics (like campaign performance and segmentation) and More ❯

Business Intelligence, CRM & Engagement, and Advanced Analytics. THE ROLE They’re looking for a data professional with experience in building predictive models—particularly around clustering and churn—as well as customer segmentation and journey analysis. You'll work across two main streams: standard analytics (like campaign performance and segmentation) and More ❯

Business Intelligence, CRM & Engagement, and Advanced Analytics. THE ROLE They’re looking for a data professional with experience in building predictive models—particularly around clustering and churn—as well as customer segmentation and journey analysis. You'll work across two main streams: standard analytics (like campaign performance and segmentation) and More ❯

emerging analytics streams, particularly focusing on customer behaviour and location-based intelligence. Roles and Responsibilities: Build and deploy predictive models, with a focus on clustering and churn analysis Conduct customer segmentation and map customer journeys Deliver analytics across two core streams: Campaign performance and customer segmentation Geolocation and geospatial analytics More ❯