3 of 3 Remote/Hybrid 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 ...

experiment, engineer, and deliver innovative predictive models into our modern AWS production environments. The Technical Reality: We operate a pragmatic stack where Linear Regression remains vital for stability and baseline performance, while XGBoost and LLMs are used as responsible additions. We are looking for someone who knows when … discovering good responsible actors and highlighting potential risks from others. Responsibilities Predictive Modelling (Linear & Non-Linear): You will build and maintain foundational Linear Regression models for credit, affordability, and fraud scoring, while developing advanced XGBoost models for deeper risk insights. You will mine data to find behavioural signals—such ...

extracting/manipulating data in SQL. 2-5 years experience in a quantitative credit risk or fraud role Experience with supervised models (e.g. logistic regression, gradient boosting). Able to work autonomously and be a proactive problem solver. Nice-to-Haves Experience in consulting and/or start ...