Core Skills : Solid understanding of computer science fundamentals, including data structures, algorithms, data modeling, and software architecture. Proficiency in classical machine learning algorithms (e.g., LogisticRegression, Random Forest, XGBoost) and modern deep learning algorithms (e.g., BERT, LSTM). Strong knowledge of SQL and Python's data analysis ecosystem more »
Python and SQL across structured, semi-structured and unstructured data. Ability to use dimension reduction techniques (PCA, encoders etc.) Excellent familiarity with elastic net logisticregression, random forest and XGBoost ensembles to work on supervised problems with structured, tabular data. We currently use Scikit-learn, and we're more »
in insurance pricing or related analytical background. Proficiency in programming languages such as SAS, R, Matlab, or Python. Experience with predictive modelling techniques like LogisticRegression, Decision Trees, Random Forests, etc. Familiarity with Emblem and Radar. Strong communication skills to convey statistical concepts to non-statistical audiences. Self more »
testing and measurement strategies such as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logisticregression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions-focused approach, with an intellectually curious more »
testing and measurement strategies such as Geo-testing and marketing attribution. You are an expert in using various analysis techniques, such as linear and logisticregression, significance testing, and statistical modelling. Educated to degree level in a numerate/analytical subject. Solutions focused approach, with an intellectual curious more »