6 of 6 Logistic Regression Jobs

services). Expertise: Solid understanding of computer science fundamentals and time-series forecasting. Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning). Reasonable Adjustments: Respect and equality are core values to us. We are proud ...

with commercial impact. You'll be responsible for: Developing acquisition and behavioural credit scorecards using CRA data Building statistical and machine learning models including logistic and linear regression Designing and implementing credit strategies for new and existing customer portfolios Analysing large datasets using SQL and Python … Credit risk experience across model development or strategy Strong SQL skills alongside Python or SAS (Python preferred) Experience with statistical modelling techniques such as logistic regression or machine learning Excellent communication skills with the ability to present to clients and senior stakeholders THE BENEFITS ...

postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development ...

ideally bring: Commercial experience building credit risk or decisioning models within lending (insurance backgrounds may also be considered) Strong experience with scorecards, logistic regression and/or machine learning models Good understanding of how models influence real lending decisions and commercial outcomes Experience deploying and maintaining models within ...

areas: data science; epidemiology; administrative dataset analysis; maternal health; statistical analysis of routinely collected health care or clinical trial datasets using techniques such as logistic regression, imputation of missing data, multilevel modelling. . Application Interview Presentation Strong knowledge of research methods and techniques appropriate to the discipline ...

Advanced coding skills in a range of analytical software packages (eg R, SQL). Advanced statistical and/or mathematical skills including e.g. linear, logistic, cox regression, analysis of variance, repeated measures, survival analyses Advanced IT skills including Microsoft office. Excellent written and presentation communication skills. Effective stakeholder ...