19 of 19 Logistic Regression Jobs in England

and structure win-win commercial deals. Strong hands-on skills in Excel and PowerPoint, including financial modeling and executive presentations. Solid understanding of statistical modeling techniques such as Linear Regression, Logistic Regression, and Bayesian methods. Excellent communication skills-both written and verbal-with the ability to clearly present complex concepts to non-technical stakeholders. Leadership presence with More ❯

analysis and forecasting techniques. Strong foundation in computer science principles - data structures, algorithms, software architecture, and data modelling. Deep understanding of machine learning algorithms including but not limited to Logistic Regression, Random Forest, XGBoost. Familiarity with modern deep learning approaches such as BERT, LSTM, and concepts in NLP and Transfer Learning. Reasonable Adjustments: Respect and equality are core More ❯

developing GCP machine learning services) Timeseries forecasting Solid understanding of computer science fundamentals, including data structures, algorithms, data modelling and software architecture Strong knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc. More ❯

impact of pricing proposals Coaching and mentoring junior team members Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL More ❯

impact of pricing proposals Coaching and mentoring junior team members Key Skills and Experience: Previous experience within general insurance pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering Experience in statistical and data science programming languages (e.g. R, Python, PySpark, SAS, SQL More ❯

general insurance products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of these model types More ❯

general insurance products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of these model types More ❯

general insurance products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of these model types More ❯

general insurance products and/or pricing teams, including knowledge of current trends and issues in motor or home pricing Experience with some of the following predictive modelling techniques; Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets and Clustering. Knowledge of the technical differences between different packages for some of these model types More ❯

defining the foundations and best practices to allow automation and smart solutions for our customers. Tools experience that is beneficial: Python (required), SQL, Power BI. Good experience using XGBoost & Logistic regression models as a minimum. More ❯

defining the foundations and best practices to allow automation and smart solutions for our customers. Tools experience that is beneficial: Python (required), SQL, Power BI. Good experience using XGBoost & Logistic regression models as a minimum. More ❯

defining the foundations and best practices to allow automation and smart solutions for our customers. Tools experience that is beneficial: Python (required), SQL, Power BI. Good experience using XGBoost & Logistic regression models as a minimum. More ❯

defining the foundations and best practices to allow automation and smart solutions for our customers. Tools experience that is beneficial: Python (required), SQL, Power BI. Good experience using XGBoost & Logistic regression models as a minimum. More ❯

defining the foundations and best practices to allow automation and smart solutions for our customers. Tools experience that is beneficial: Python (required), SQL, Power BI. Good experience using XGBoost & Logistic regression models as a minimum. More ❯

developing insightful management information (MI) and presenting data-driven narratives. Effective time management and prioritisation skills. Experience with Python (required), SQL, and Power BI. Practical experience with XGBoost and logistic regression models (minimum). Benefits Private Medical Care: Access to premium healthcare services. Health Cash Plan: Contributions toward everyday medical expenses, including digital physio and skin clinic access. More ❯

developing insightful management information (MI) and presenting data-driven narratives. Effective time management and prioritisation skills. Experience with Python (required), SQL, and Power BI. Practical experience with XGBoost and logistic regression models (minimum). Benefits Private Medical Care: Access to premium healthcare services. Health Cash Plan: Contributions toward everyday medical expenses, including digital physio and skin clinic access. More ❯

developing insightful management information (MI) and presenting data-driven narratives. Effective time management and prioritisation skills. Experience with Python (required), SQL, and Power BI. Practical experience with XGBoost and logistic regression models (minimum). Benefits Private Medical Care: Access to premium healthcare services. Health Cash Plan: Contributions toward everyday medical expenses, including digital physio and skin clinic access. More ❯

developing insightful management information (MI) and presenting data-driven narratives. Effective time management and prioritisation skills. Experience with Python (required), SQL, and Power BI. Practical experience with XGBoost and logistic regression models (minimum). Benefits Private Medical Care: Access to premium healthcare services. Health Cash Plan: Contributions toward everyday medical expenses, including digital physio and skin clinic access. More ❯

developing insightful management information (MI) and presenting data-driven narratives. Effective time management and prioritisation skills. Experience with Python (required), SQL, and Power BI. Practical experience with XGBoost and logistic regression models (minimum). Benefits Private Medical Care: Access to premium healthcare services. Health Cash Plan: Contributions toward everyday medical expenses, including digital physio and skin clinic access. More ❯