related analytical background. Proficiency in programming languages such as SAS, R, Matlab, or Python. Experience with predictive modelling techniques like Logistic Regression, Decision Trees, Random Forests, etc. Familiarity with Emblem and Radar. Strong communication skills to convey statistical concepts to non-statistical audiences. Self-motivated with excellent planning and more »
Possess vast experience and expertise of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, RandomForest, Neural Network or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of more »
Possess vast experience and expertise of working with probability and statistics, inclusive of machine learning, experimental design, and optimisation Experience using Gradient Boosting Machines, RandomForest, Neural Network or similar algorithms Proven and successful track record of leading high-performing data analyst teams through the successful performance of more »
parameter estimation, factors selection, PCA, hypothesis testing, time series, queuing theory, survival analysis, clustering, linear programming. Experience with machine learning methods, such as regularization, random forests, neural networks and deep learning. Ability to write algorithms and implement pipelines in Python. Knowledge of Scala, R, is a plus. Experienced in more »
GCP, AWS or Azure) Strong proficiency in NumPy for numerical computing and data manipulation tasks. Proven knowledge of Machine Learning algorithms (e.g. Logistic Regression, RandomForest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. more »
Eastleigh, Hampshire, United Kingdom Hybrid / WFH Options
Platinum Recruitment Consultancy
e.g. SAS Experience in some of the following predictive modelling techniques e.g. Logistic regression, Log-Gamma GLMs, GBMs, Elastic Net GLMs, GAMs, Decision Trees, Random Forests, Support Vector Machines and Neural Nets. Experience of Emblem and Radar. Experience in the use of programming language such as Matlab and Python. more »