14 of 14 Permanent Decision Tree Jobs in Manchester

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 ❯

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 maintain sophisticated models, prioritising a range of data science techniques Advance the adoption of data science & statistical techniques Communicate results to key decision makers across the business for action based on the results of pricing analysis Collaborate with peers in pricing, underwriting and data science will generate … 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 ❯

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 ❯