6 of 6 Regression Analysis Jobs in London

move models from the lab into production. Key Responsibilities Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems. Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis ( EDA ), data cleaning, feature engineering … transformation on large, complex, and sometimes unstructured datasets. Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation. Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance ...

Your New Role We are looking for the Advanced Analytics Lead who will be responsible for owning, developing and delivering advanced statistical and regression-based analytics that underpin a new measurement solution within the Audiences & Data portfolio. This role sits at the intersection of statistical modelling, insight generation … interpreted and translated into robust, defensible insight for clients and internal stakeholders. This is a hands-on senior analytics role, requiring deep expertise in regression and multivariate modelling, alongside the ability to clearly explain methodology, guide junior analysts and ensure outputs are both statistically sound and commercially relevant. Your ...

projects (segmentation, clustering, modelling) Run end-to-end research projects, mainly quantitative Analyse and interpret survey and external data sets Apply statistical methods (e.g. regression, factor analysis) Automate and improve recurring analysis processes Support proposals and contribute to new business work What They're Looking For 3+ … years in analytics, research, or similar Strong statistical analysis experience Confident working with survey data Proficiency in R or Python Strong problem-solving and insight generation skills Able to manage multiple projects in a fast-paced environment Benefits Up to £60,000 salary Hybrid working (Fridays remote) Work with ...

strong understanding of best practices in software engineering and data engineering. In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc. Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap. Experience of end‐to‐end model development and maintenance ...

range of bespoke quantitative and mixed-methods projects, with support from senior team members where needed. Key responsibilities include: Leading the design, delivery and analysis of quantitative research projects, from questionnaire design through to insight generation. Acting as a key point of contact for clients, particularly on smaller engagements … Using research outputs to advise clients on strategy, messaging and campaigns. Working closely with analytics and data science colleagues on techniques such as segmentation, regression, factor analysis and PCA. Contributing to qualitative research, including analysis of interviews and AI-moderated qualitative outputs. Actively engaging with and helping ...

role in shaping pricing and promotions decisions across the business, balancing long term strategic projects with fast paced commercial requests. Lead pricing and promotions analysis to support business wide commercial decisions Analyse competitor pricing and recommend data led responses Deliver clear, impactful pricing performance insight to senior stakeholders Support … pricing resets, optimisation initiatives and test and learn activity Apply advanced analytics including regression modelling and incrementality analysis Translate commercial questions into robust analytical approaches and recommendations Contribute to the development of AI enabled pricing analytics capability Work closely with pricing leadership and SLT facing teams ...