15 of 15 Permanent Logistic Regression Jobs in the UK

than 2 yearsAbility to client face and consultIdeally a PhD masters okStrong understanding of probability and statisticsMachine learning (experience of techniques such as linear regression, logistic regression, boosting, kNN)PythonExperience of one or more common frameworks (e.g. Caffe, Theano, Torch, Tensorflow, scikit-learn)The environment is that ...

than 2 yearsAbility to client face and consultStrong Data Science backgroundStrong understanding of probability and statisticsIdeally Machine learning (experience of techniques such as linear regression, logistic regression, boosting, kNN)Ideally Python or another languageExperience of one or more common frameworks (e.g. Caffe, Theano, Torch, Tensorflow, scikit-learn ...

than 2 yearsAbility to client face and consultStrong Data Science backgroundStrong understanding of probability and statisticsIdeally Machine learning (experience of techniques such as linear regression, logistic regression, boosting, kNN)Ideally Python or another languageExperience of one or more common frameworks (e.g. Caffe, Theano, Torch, Tensorflow, scikit-learn ...

sample design, retrospective analysis, performance analysis, population split analysis and reject analysis.This position will involve performing analysis of multiple data sources using statistical analysis (Logistic Regression, Linear Regression, Decision Trees, Exploratory Data Analysis, CHAID analysis & Cluster Analysis) and computer science to solve business problems. We are looking ...

inferential statistics, hypothesis testing, univariate analysis, and probability distributions.Machine Learning & Predictive Modelling: Experience building, validating, and productionising machine learning models (e.g., linear/logistic regression, time-series forecasting, decision trees).Advanced SQL: Excellent SQL skills to extract, transform, and profile large-scale datasets from cloud data marts.Causal Inference ...

market leading - consumer bureau data, postcode insights, open source data,transactional insights & fraud indicators from partnershipsApply 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 technologies … aboveUse 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. logisticDay to day exposure to large/complex datasets, analytical tools, spreadsheets, analytical platforms, etc.Able to extract data from multiple platforms ...

market leading - consumer bureau data, postcode insights, open source data,transactional insights & fraud indicators from partnershipsApply 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 technologies … aboveUse 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. logisticDay to day exposure to large/complex datasets, analytical tools, spreadsheets, analytical platforms, etc.Able to extract data from multiple platforms ...

market leading - consumer bureau data, postcode insights, open source data,transactional insights & fraud indicators from partnershipsApply 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 technologies … aboveUse 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. logisticDay to day exposure to large/complex datasets, analytical tools, spreadsheets, analytical platforms, etc.Able to extract data from multiple platforms ...

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 ...

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 ...

Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Generative AI, Graph Algorithms, Learning Agility, Logistic Regression Models, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Pandas Python Library, Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis ...

Biostatistics, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Generative AI, Graph Algorithms, Learning Agility, Logistic Regression Models, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Pandas Python Library, Python (Programming Language), R Programming, Stakeholder Engagement, Statistical Analysis ...

400.00Skills DesiredArtificial Intelligence (AI), Biostatistics, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Generative AI, Graph Algorithms, Learning Agility, Logistic Regression Models, Machine Learning (ML), Machine Learning Algorithms, Neuro-Linguistic Programming (NLP), Pandas Python Library, Python (Programming Language), R Programming, Statistical Analysis, Structured Query ...

which models they chose, the trade-offs, and how they measured success in production Key responsibilities Design, build and validate classical ML models (e.g. regression, tree-based ensembles, clustering) to solve real business problems Select appropriate algorithms and clearly justify model choices to technical and non-technical stakeholders Develop … product teams to take models from prototype to production Essential skills & experience Classical/traditional ML: Proven experience with models such as linear and logistic regression, decision trees, random forests, gradient boosting (XGBoost, LightGBM), SVMs and clustering. You can explain which models you've used, why you chose ...

science or 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 ...