1 to 4 of 4 Principal Component Analysis Jobs

and acquire decision-grade data about the public—what consumers, voters and citizens think and do. The Role: You will be the research manager analysis lead at the organization, you’ll be a foundational part of a fast-growing research data team which works in lockstep with the 10+ … also be welcomed. The ideal candidate should be able to come to identify the top 2-3 findings for each client brief through data analysis — and express these in well-structured PowerPoint decks and memos Experience in conducting different types of statistical analyses ideally on panel data — principal component analysis, factor analysis, multivariate regression and cluster analysis The benefits: As a Research Manager, you can earn up to a base of £60,000 plus an aggressive benefits package How to apply: Please register your interest by sending your Resume to Louiscollins@harnham.com or more »

part of a growing team. The role Driving digital performance: regular weekly reporting according to a regular drumbeat, including short- and long-term performance analysis, adapting to business priorities and focus areas. with digital channel … teams (search, social, programmatic, SEO) to ensure consistent campaign setup, execution, and optimisation across channels. the production and delivery of strategic reporting (QBR and PCA). ad-hoc reporting and analysis – e.g. how a specific test is performing, or drill into how a campaign is performing to help identify more »

to determine cause-effects or comparisons within datasets (e.g., developing models to predict soap stability, predicting best candidates for new ink materials) Using PCA and clustering to glean real-time data from inline process measurements for enhanced process monitoring Developing soft sensors based on PLS and neural net models more »

Data wrangling and data engineering excellence using primarily Python and SQL across structured, semi-structured and unstructured data. Ability to use dimension reduction techniques (PCA, encoders etc.) Excellent familiarity with elastic net logistic regression, random forest and XGBoost ensembles to work on supervised problems with structured, tabular data. We currently … Score. Confident in the skills needed to deploy deep learning, ideally through Tensorflow, including transformer architectures. Natural language processing capabilities, including skills in sentiment analysis and using and localising large language models (transformers), ideally through the Hugging Face platform to understand and match similar texts. Maths skills and knowledge more »