9 of 9 Permanent Exploratory Analysis Jobs in the UK excluding London

AI transformation focused on personalization in a consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract insights and optimize More ❯

AI transformation focused on personalization in a consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract insights and optimize More ❯

AI transformation focused on personalization in a consumer-facing application. Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI. Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements. Design and deploy data/ML instrumentation to extract insights and optimize More ❯

environmental inputs to deliver intelligent, scalable and automated insights. The work carried out will directly drive operational efficiencies, reduce energy consumption and improve system reliability for customers. Perform statistical analysis and deep data interrogation across diverse datasets. Develop, test and deploy advanced analytics frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R … D concepts and exploratory analysis into production ready algorithms and reusable components. Build machine learning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based on the use case requirements. Work closely with internal teams to translate business needs into data … to ensure that models, analytics and insights align with customer needs and expectations. Maintain strong internal relationships, contributing to a shared culture of curiosity, continuous improvement and innovation. Conduct exploratory research and develop prototypes or proof of concept solutions to test hypotheses or emerging techniques. Remain up to date with developments in Artificial Intelligence/Machine learning. Contribute to More ❯

environmental inputs to deliver intelligent, scalable and automated insights. The work carried out will directly drive operational efficiencies, reduce energy consumption and improve system reliability for customers. Perform statistical analysis and deep data interrogation across diverse datasets. Develop, test and deploy advanced analytics frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R … D concepts and exploratory analysis into production ready algorithms and reusable components. Build machine learning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based on the use case requirements. Work closely with internal teams to translate business needs into data … to ensure that models, analytics and insights align with customer needs and expectations. Maintain strong internal relationships, contributing to a shared culture of curiosity, continuous improvement and innovation. Conduct exploratory research and develop prototypes or proof of concept solutions to test hypotheses or emerging techniques. Remain up to date with developments in Artificial Intelligence/Machine learning. Contribute to More ❯

environmental inputs to deliver intelligent, scalable and automated insights. The work carried out will directly drive operational efficiencies, reduce energy consumption and improve system reliability for customers. Perform statistical analysis and deep data interrogation across diverse datasets. Develop, test and deploy advanced analytics frameworks that uncover actionable insights. Design and implement end to end data science workflows. Translate R … D concepts and exploratory analysis into production ready algorithms and reusable components. Build machine learning models and design experiments to optimise building performance and asset control strategies. Select, apply and evaluate appropriate data science techniques (e.g., regression, classification, clustering, anomaly detection) based on the use case requirements. Work closely with internal teams to translate business needs into data … to ensure that models, analytics and insights align with customer needs and expectations. Maintain strong internal relationships, contributing to a shared culture of curiosity, continuous improvement and innovation. Conduct exploratory research and develop prototypes or proof of concept solutions to test hypotheses or emerging techniques. Remain up to date with developments in Artificial Intelligence/Machine learning. Contribute to More ❯

visibility. Key Responsibilities Business & Data Alignment : Gather requirements, translate them into data logic, and ensure alignment on KPIs and metrics. Data Exploration : Identify relevant data from Snowflake and conduct exploratory analysis to support business insights. Data Modeling : Build and maintain scalable, accurate data models that reflect logistics and operational needs. Dashboard Collaboration : Work with Qlik Developers to co … data best practices, and logistics trends. Cross-functional Collaboration : Partner with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard More ❯

visibility. Key Responsibilities Business & Data Alignment : Gather requirements, translate them into data logic, and ensure alignment on KPIs and metrics. Data Exploration : Identify relevant data from Snowflake and conduct exploratory analysis to support business insights. Data Modeling : Build and maintain scalable, accurate data models that reflect logistics and operational needs. Dashboard Collaboration : Work with Qlik Developers to co … data best practices, and logistics trends. Cross-functional Collaboration : Partner with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard More ❯

visibility. Key Responsibilities Business & Data Alignment : Gather requirements, translate them into data logic, and ensure alignment on KPIs and metrics. Data Exploration : Identify relevant data from Snowflake and conduct exploratory analysis to support business insights. Data Modeling : Build and maintain scalable, accurate data models that reflect logistics and operational needs. Dashboard Collaboration : Work with Qlik Developers to co … data best practices, and logistics trends. Cross-functional Collaboration : Partner with data engineers, developers, and business teams for seamless data integration and delivery. Required Skills Strong experience in data analysis , business alignment , and KPI validation Proficiency with Snowflake , SQL , ETL , and data modeling Experience with Qlik Sense or similar BI tools Solid understanding of data visualization , UX , and dashboard More ❯