14 of 14 Linear Regression Jobs in the UK

more 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 ...

more 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 ...

more 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 ...

interpret electrical drawings, system specification software specification (e.g., UML) and mechanical drawingsExperience in prediction/CBM algorithms.Experience in statistical analysis including quality control, multiple linear regression models, logistic regression, discriminant analysis, re-sampling techniques.Experience in big data analysis techniques both unsupervised and supervised machine learningWhat we offer ...

design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression‐based approaches. Assist in designing and implementing end‐to‐end data ingestion processes, ensuring seamless data flow to investing teams. Work with desk … with a focus in Machine Learning. Expected graduation date of Winter 2027 or Spring/Summer 2028. Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics. Strong programming experience ...

/stakeholders contributing project components of a larger Data Science oriented programme of work. Desirable criteria Knowledge in key Machine Learning based algorithms: Supervised (Linear regression, SVM, Random Forests, Gradient Boosting and Neural Networks) and Unsupervised (KMeans, Gaussian Mixtures) and the entire end to end ML pipeline. Certification ...

grouping to support better commercial decision-making Translate complex analytical findings into clear, actionable insight and recommendations Apply statistical and advanced analytical techniques including regression, clustering, predictive modelling and campaign measurement Have an understanding of techniques such as k-means, random forest and linear regression, with … with large datasets Strong data visualisation and presentation skills Experience with customer segmentation, profiling and behavioural analysis Experience applying advanced analytical techniques such as regression, clustering and predictive modelling Understanding of statistical or data science techniques and the ability to interpret model outputs Strong stakeholder management and communication skills ...

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 (or SAS) Delivering analytical … 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 Up to £75,000 salary Hybrid ...

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 (or SAS) Delivering analytical … 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 Up to £75,000 salary Hybrid ...

multivariate methods — selecting the appropriate technique based on the business question and clearly communicating trade-offs.Build, evaluate, and iterate on statistical models (e.g. regression, clustering, classification), correctly interpreting outputs and translating findings into actionable recommendations.Develop clear, audience-appropriate data visualisations and narratives that communicate insights to both technical … projects using varied analytical techniquesAdvanced proficiency in SQL, Python, or R for data extraction, transformation, and visualisation at scaleProficient understanding of statistical concepts including regression, ANOVA, probability, and frequentist vs. Bayesian approaches, with the ability to distinguish statistically significant results from exploratory analysisExperience applying a range of modelling techniques ...

multivariate methods — selecting the appropriate technique based on the business question and clearly communicating trade-offs. Build, evaluate, and iterate on statistical models (e.g. regression, clustering, classification), correctly interpreting outputs and translating findings into actionable recommendations. Develop clear, audience-appropriate data visualisations and narratives that communicate insights to both … varied analytical techniques Advanced proficiency in SQL, Python, or R for data extraction, transformation, and visualisation at scale Proficient understanding of statistical concepts including regression, ANOVA, probability, and frequentist vs. Bayesian approaches, with the ability to distinguish statistically significant results from exploratory analysis Experience applying a range of modelling ...

multivariate methods — selecting the appropriate technique based on the business question and clearly communicating trade-offs. Build, evaluate, and iterate on statistical models (e.g. regression, clustering, classification), correctly interpreting outputs and translating findings into actionable recommendations. Develop clear, audience-appropriate data visualisations and narratives that communicate insights to both … varied analytical techniques Advanced proficiency in SQL, Python, or R for data extraction, transformation, and visualisation at scale Proficient understanding of statistical concepts including regression, ANOVA, probability, and frequentist vs. Bayesian approaches, with the ability to distinguish statistically significant results from exploratory analysis Experience applying a range of modelling ...

comfortably in notebooks, but can also write a plain .py script that runs on a schedule Familiar with scikit-learn or stats models for regression and forecasting Statistics and modelling Solid descriptive statistics, and the judgement to know when the mean is misleading Understands sampling, bias, correlation vs causation … confidence intervals Can run and interpret a hypothesis test or an A/B comparison Linear and logistic regression — fit one, and explain what the coefficients mean in plain English Knows when not to model, and will say “the data can't answer that” Other Data Skills ● Apply ...

analytical techniques such as segmentation, clustering, predictive modelling and campaign measurement. Working knowledge of data science techniques including random forest, k-means and linear regression.Optimisation: Collaborate with cross-functional teams to identify opportunities for optimisation. Support initiatives across customer acquisition, retention, loyalty, lifecycle and marketing performance.Collaborate: Support a given … loyalty or digital datasets. (3+ years)Proven experience writing code in languages such as SQL, Python or R.Experience applying advanced analytical techniques including segmentation, regression analysis, clustering, predictive modelling and campaign measurement. Knowledge of data science and machine learning techniques such as random forest, k-means and linear ...