1 to 25 of 32 Permanent Decision Tree Jobs in the UK excluding London

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯