10 of 10 Permanent Logistic Regression Jobs

solve business problems. Perform feature selection using techniques such as PCA, Lasso, and Elastic Net. Develop and deploy models using algorithms like Linear & Logistic Regression, SVM, Decision Trees, XGBoost, Hist Gradient Boosting, and LightGBM. Utilize cloud technologies (AWS, Azure, Hadoop) for scalable data solutions. Create interactive dashboards ...

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 ...

turning your results into actionable, impactful insights. You will be exposed to and incorporate a variety of statistical and machine learning techniques such as logistic regression, experimental design, generalized linear models, mixed modeling, CHAID/decision trees, neural networks and ensemble models. Knowledge of statistical concepts such … regression, time series, mixed model, Bayesian, clustering, etc., to analyze data and provide insights. Conduct statistical analysis and build time series models using linear regression, ARIMA, DLM, VAR, and VECM. Responsible for creating and implementing AI, machine learning and deep learning algorithms to solve business problems. Design project ...

role for you. Role and Responsibilities Data science & modelling: Develop, validate, and optimise predictive models using advanced ML algorithms (e.g., gradient boosting, logistic regression, ensemble methods). End-to-end ML engineering: Deploy models as APIs, batch jobs, and streaming services; implement CI/CD, monitoring, and rollback ...

from "zero-shot" implementations to data-driven optimization. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimize user outcomes based on real feedback. Be a "Full Stack" Partner: While the backend/data is your ...

from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback. Mentor & Lead: You will work alongside full-stack engineers, upskilling the team ...

from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback. Mentor & Lead: You will work alongside full-stack engineers, upskilling the team ...

from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback. Mentor & Lead: You will work alongside full-stack engineers, upskilling the team ...

from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback. Mentor & Lead: You will work alongside full-stack engineers, upskilling the team ...

from "zero-shot" implementations to data-driven optimisation. You will instrument data collection, design online evaluation metrics, and deploy simple, effective ML models (e.g., logistic regression, boosted trees) to optimise user outcomes based on real feedback. Mentor & Lead: You will work alongside full-stack engineers, upskilling the team ...