Random Forest Jobs in the North of England

4 of 4 Random Forest Jobs in the North of England

Pricing Manager

Manchester, North West, United Kingdom
Hybrid / WFH Options
Gerrard White
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 would be an advantage. Experience in statistical and data science More ❯
Employment Type: Permanent, Work From Home
Posted:

Data Analyst

Manchester, United Kingdom
NGE Sports
e.g. Power BI). Microsoft suite - Excel, Powerpoint etc. Languages: Python, SQL, Git. Working towards more 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 More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Senior Data Scientist

Manchester, Lancashire, England, United Kingdom
Hybrid / WFH Options
Vermelo RPO
Previous experience within data science Experience in commercial pricing and modelling, ideally with a focus in Motor Experience and detailed technical knowledge of GLMs/Elastic Nets, GBMs, GAMs, Random Forests, and clustering techniques Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by More ❯
Employment Type: Full-Time
Salary: Salary negotiable
Posted:

Senior Data Scientist

Manchester, North West, United Kingdom
Hybrid / WFH Options
Gerrard White
Previous experience within data science Experience in commercial pricing and modelling, ideally with a focus in Motor Experience and detailed technical knowledge of GLMs/Elastic Nets, GBMs, GAMs, Random Forests, and clustering techniques Experience in programming languages (e.g. Python, PySpark, R, SAS, SQL) Proficient at communicating results in a concise manner both verbally and written Behaviours: Motivated by More ❯
Employment Type: Permanent, Work From Home
Posted:
Random Forest
the North of England
25th Percentile
£65,000
Median
£70,000
75th Percentile
£75,000