2 of 2 Time Series Analysis Jobs in County Antrim

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 led … working as a data scientist, preferably on client facing software solutions, within optimisation or energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, time series analysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc or PhD in a quantitative 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 led … working as a data scientist, preferably on client facing software solutions, within optimisation or energy focussed applications. Strong foundation in statistical techniques and machine learning, including regression, classification, clustering, time series analysis and pattern recognition. Degree in a quantitative discipline such as Applied Mathematics, Statistics, Computer Science, Engineering or Physics. Desirable MSc or PhD in a quantitative More ❯