9 of 9 Permanent Logistic Regression Jobs in the UK

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 ...

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 ...

metrics, data sources and business logic Knowledge of Python or R is advantageous but not mandatory Knowledge of statistical modelling techniques such as logistic regression, clustering, linear regression, decision trees etc is a plus. Knowledge of Fraud Prevention, Anti-Money Laundering or Responsible Gambling is not necessary ...

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 ...

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 ...

datasets. Experience working within credit risk, fraud analytics, payments risk, or a related quantitative environment. Practical experience building supervised machine learning models such as logistic regression and gradient boosting models. Ability to work autonomously, solve problems proactively, and thrive in a fast-moving environment. Exposure to clustering, anomaly ...

without needing an analyst or data engineer between you and the problem. You understand predictive modelling deeply. You’re comfortable with approaches ranging from logistic regression and gradient boosting. Choosing the right algorithm given the problem statement is just as important as being able the model. You understand ...

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 ...