18 of 18 Decision Tree Jobs in the North West

Engineers, Product, and Marketing teams to develop reports, capture requirements, and analyse market trends. Key experience: Machine Learning techniques including classification (Random Forest, Decision Trees, regression etc) Python and SQL for data analysis and modelling Microsoft Azure, Power BI, Excel, and PowerPoint for data visualisation and reporting. Experience More ❯

Engineers, Product, and Marketing teams to develop reports, capture requirements, and analyse market trends. Key experience: Machine Learning techniques including classification (Random Forest, Decision Trees, regression etc) Python and SQL for data analysis and modelling Microsoft Azure, Power BI, Excel, and PowerPoint for data visualisation and reporting. Experience More ❯

Engineers, Product, and Marketing teams to develop reports, capture requirements, and analyse market trends. Key experience: Machine Learning techniques including classification (Random Forest, Decision Trees, regression etc) Python and SQL for data analysis and modelling Microsoft Azure, Power BI, Excel, and PowerPoint for data visualisation and reporting. Experience More ❯

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) A good quantitative More ❯

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) A good quantitative More ❯

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) A good quantitative More ❯

experience within Personal Lines Pricing is advantageous 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) A good quantitative More ❯

experience within Personal Lines Pricing is advantageous 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) A good quantitative More ❯

Personal Lines Pricing, ideally including team or project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make More ❯

Personal Lines Pricing, ideally including team or project leadership Proficiency in predictive modelling techniques such as Logistic Regression, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Neural Nets, and Clustering Strong skills in R, Python, PySpark, SAS, or SQL Proven ability to interpret performance data and make More ❯

about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women … a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain … large-scale, high-dimensional, and heavily imbalanced datasets Excellent skills in Python and SQL Solid understanding of classification algorithms such as gradient boosting decision trees, including pros and cons of different model architectures Strong feature engineering skills and experience in transforming raw data into useful model inputs Effective More ❯

use your product expertise to reduce barriers to legal knowledge through tools such as e-learning platforms, mobile apps, workflow and decision tree solutions, and AI chatbots. The ideal candidate will have a strong understanding of how technology can solve real-world problems, along with a proactive More ❯

use your product expertise to reduce barriers to legal knowledge through tools such as e-learning platforms, mobile apps, workflow and decision tree solutions, and AI chatbots. The ideal candidate will have a strong understanding of how technology can solve real-world problems, along with a proactive More ❯

use your product expertise to reduce barriers to legal knowledge through tools such as e-learning platforms, mobile apps, workflow and decision tree solutions, and AI chatbots. The ideal candidate will have a strong understanding of how technology can solve real-world problems, along with a proactive More ❯

use your product expertise to reduce barriers to legal knowledge through tools such as e-learning platforms, mobile apps, workflow and decision tree solutions, and AI chatbots. The ideal candidate will have a strong understanding of how technology can solve real-world problems, along with a proactive More ❯

use your product expertise to reduce barriers to legal knowledge through tools such as e-learning platforms, mobile apps, workflow and decision tree solutions, and AI chatbots. The ideal candidate will have a strong understanding of how technology can solve real-world problems, along with a proactive More ❯

use your product expertise to reduce barriers to legal knowledge through tools such as e-learning platforms, mobile apps, workflow and decision tree solutions, and AI chatbots. The ideal candidate will have a strong understanding of how technology can solve real-world problems, along with a proactive More ❯

and leverage new and existing data sources; capturing and explaining trends with innovative data features Clearly communicate results and proposed actions to key decision makers across the business Champion and facilitate automation of reporting, data pipelines and quality assurance Manage, coach and mentor team members, driving a culture … 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 would be an More ❯