2 of 2 Principal Component Analysis Jobs in the North West

existing systems, enabling customers to see what's important and change outcomes. Reporting to: Head of Global Business Delivery Key Responsibilities: Work with Commercial Delivery team to: Conduct data analysis based on current deployments and communicate key insights through reports, presentations and visualisations to stakeholders. Manage external and internal video analysis teams, perform moderation of results to ensure … consistency of outputs in order to deliver reporting in accordance with client reporting schedule. Use video analysis outputs to generate regular internal assessments of the solution performance, identify areas of improvement and guide product requirements to achieve a solution performance level which meets customer expectations. Support business scaling as needed: e.g. build internal and external reporting required for tracking … complex modelling of the data using innovative methods. Knowledge of Machine Learning: Classification (Random Forest, Decision Trees, KNN), Regression. Modelling (linear, sparse, logistic), Principal Component Analysis (PCA, PCR), clustering (K-means). Profile: Strong analytical skills, ability to generate strong insights and build convincing stories. Good communication and problem-solving skills. Good organisational skills. Excellent time management. More ❯

existing systems, enabling customers to see what's important and change outcomes. Reporting to: Head of Global Business Delivery Key Responsibilities: Work with Commercial Delivery team to: Conduct data analysis based on current deployments and communicate key insights through reports, presentations and visualisations to stakeholders. Manage external and internal video analysis teams, perform moderation of results to ensure … consistency of outputs in order to deliver reporting in accordance with client reporting schedule. Use video analysis outputs to generate regular internal assessments of the solution performance, identify areas of improvement and guide product requirements to achieve a solution performance level which meets customer expectations. Support business scaling as needed: e.g. build internal and external reporting required for tracking … complex modelling of the data using innovative methods. Knowledge of Machine Learning: Classification (Random Forest, Decision Trees, KNN), Regression. Modelling (linear, sparse, logistic), Principal Component Analysis (PCA, PCR), clustering (K-means). Profile: Strong analytical skills, ability to generate strong insights and build convincing stories. Good communication and problem-solving skills. Good organisational skills. Excellent time management. More ❯