4 Regression Analysis Jobs with Hybrid or WFH Options

essential. Responsibilities Lead a small team of data analysts Present in a clear and engaging manner to clients Build models by employ various data analysis techniques and statistical methodologies such as regression analysis, cluster analysis, factor analysis/principal component analysis, experimental designs using more »

Business Forecasting Manager - Data Analysis | Statistics 📌 London 📌 £55,000 to £65,000 + Up to 20% Bonus 📌 10% Pension + 10x Life Assurance + Excellent Benefits 📌 Hybrid Working (3 Days On-site, 2 Remote) The Business Be a part of one of the largest and most monumental brands in … dropping any attention to detail or losing sight of the bigger picture. Experience working within a commercial-facing forecasting role Ability to perform statistical analysis using large data sets. Able to draw conclusions and make recommendations on the basis of the analysis Ability to communicate the results of … complex analysis in a simple and straightforward way and in a business context Familiar with analytical techniques such as linear regression and time series analysis. High degree of modelling experience within excel. Highly organised with ability to manage deliverables on multiple projects and priorities simultaneously Experience using Anaplan more »

team in executing group-wide projects aligned with central functions including Product, Technology, Finance, and Strategy. Your Experience: Experience: Minimum of 3 years in analysis roles within consumer-facing digital businesses. Statistical Proficiency: Demonstrated expertise in inferential statistics, including experiment design, hypothesis testing, and regression analysis. Communication Skills more »

role are expected to apply knowledge of experimental methodologies, statistics, Reinforcement Learning, Optimisation, Probability Theory, and Machine Learning using code for tool building, statistical analysis, and modelling, using both general-purpose software and statistical languages. The ideal candidate will have endless curiosity and can pair a global mindset with … up which helps manage the entire model lifecycle: feature engineering, model training/evaluation, versioning, deployment/online serving and monitoring prediction quality Data Analysis/Feature Engineering: Apply your expertise to identify and calculate features that can be leveraged by multiple use cases as well as models Model … training with batch and real-time prediction scenarios: Use machine learning and statistical modeling techniques such as Reinforcement Learning,Decision Trees, Logistic Regression, Bayesian Analysis, Neural Networks and others to develop and evaluate algorithms to improve product/system performance, quality and accuracy Low level systems debugging, performance more »