6 of 6 Logistic Regression Jobs

market leading - consumer bureau data, postcode insights, open source data,transactional insights & fraud indicators from partnerships Apply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc. Utilise the latest cloud based … above Use of relevant analytical tooling on a day-to-day basis e.g. Python, SAS, BigQuery, Jupyter Notebook, SQL, etc. Previous experience of developing regression models and scores - e.g. logistic Day to day exposure to large/complex datasets, analytical tools, spreadsheets, analytical platforms, etc. Able to extract ...

Oracle or similar) to manipulate data and generate insights from large datasets is required. - Demonstrated experience with multiple machine learning techniques, such as logistic regression, decision trees, random forests, clustering, and other predictive modeling methods is required. - Experience working with cloud platforms and data environments, such ...

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 ...

Proven experience developing cloud-based machine learning services using one or more cloud providers (preferably GCP) Excellent understanding of classical Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) < Strong knowledge of SQL and Python's ecosystem ...

data extraction and manipulation Demonstrated ability to write clean, efficient code. Proficiency in Python or C# Familiarity with standard ML algorithms (e.g., linear/logistic regression, decision trees, random forests) and libraries like Scikit-Learn or TensorFlow/PyTorch Demonstrable experience in being able to quickly learn ...

data science within consumer lending or another regulated financial services environment. Hands‐on experience developing or materially refining credit scorecards or risk models (logistic regression and/or gradient boosting), including the practicalities: sample design, binning, reject inference, validation and monitoring. Experience working with Open Banking or other ...