5 of 5 Permanent Cluster Analysis Jobs in London

of analytical projects using CRA data assets, including credit strategy and model development, ensuring they meet quality standards and deadlines. This encompasses all phases, such as sample design, retrospective analysis, performance analysis, population split analysis, and reject analysis. Develop extensive knowledge of data structures, applications, and permissible uses across consumer, commercial, and open banking sectors. Apply statistical … techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and develop solutions for internal and external clients. Present proposals, methodologies, and results to stakeholders, explaining complex statistical techniques to diverse audiences, including … a STEM field. Experience with credit bureau data needed. 6 + years of experience in a credit risk/model development environment. Previous consultancy experience is desirable. Strong data analysis skills. Excellent written and verbal communication skills. THE BENEFITS Up to £80,000 salary. Discretionary bonus. Pension scheme. Hybrid working model. HOW TO APPLY Please register your interest by More ❯

of analytical projects using CRA data assets, including credit strategy and model development, ensuring they meet quality standards and deadlines. This encompasses all phases, such as sample design, retrospective analysis, performance analysis, population split analysis, and reject analysis. Develop extensive knowledge of data structures, applications, and permissible uses across consumer, commercial, and open banking sectors. Apply statistical … techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and develop solutions for internal and external clients. Present proposals, methodologies, and results to stakeholders, explaining complex statistical techniques to diverse audiences, including … a STEM field. Experience with credit bureau data needed. 6 + years of experience in a credit risk/model development environment. Previous consultancy experience is desirable. Strong data analysis skills. Excellent written and verbal communication skills. THE BENEFITS Up to £80,000 salary. Discretionary bonus. Pension scheme. Hybrid working model. HOW TO APPLY Please register your interest by More ❯

of analytical projects using CRA data assets, including credit strategy and model development, ensuring they meet quality standards and deadlines. This encompasses all phases, such as sample design, retrospective analysis, performance analysis, population split analysis, and reject analysis. Develop extensive knowledge of data structures, applications, and permissible uses across consumer, commercial, and open banking sectors. Apply statistical … techniques (e.g., regression, machine learning, decision trees, CHAID analysis, and cluster analysis) to address business challenges. Utilise data mining tools and programming languages such as SAS, SQL, and Python to prepare data, perform analyses, and develop solutions for internal and external clients. Present proposals, methodologies, and results to stakeholders, explaining complex statistical techniques to diverse audiences, including … a STEM field. Experience with credit bureau data needed. 6 + years of experience in a credit risk/model development environment. Previous consultancy experience is desirable. Strong data analysis skills. Excellent written and verbal communication skills. THE BENEFITS Up to £80,000 salary. Discretionary bonus. Pension scheme. Hybrid working model. HOW TO APPLY Please register your interest by More ❯

dynamic agencies with 400 employees across 12 locations in Europe, US, and APAC. Position Our primary focus is segmentation, which constitutes our largest volume of work, while AI and analysis of unstructured data are our fastest-growing areas. We seek a Senior Data Scientist skilled in cluster analysis, preferably with knowledge of natural language processing, to consult … their data analytics skills further. The successful candidate should have advanced knowledge and experience with a range of multivariate techniques, be a specialist in segmentation, and ideally understand conjoint analysis and unstructured data analysis. The ability to consult and work with diverse data sources, analyze large datasets, and communicate persuasively with clients and internal teams is essential. Core Responsibilities … high-quality, actionable insights for clients. Create segmentation models using multinomial logistic regression and linear discriminant analysis. Advanced Analytics Skills Strong working knowledge of analytical techniques such as conjoint analysis, machine learning (e.g., Random Forests, SVM), statistical methods (e.g., regression), time series, basket analysis, and unstructured data analytics. Ability to synthesize multiple data sources into meaningful insights and More ❯

mindset with problem-solving skills and passion for big data. Experience building multi-dimensional data models. Experience with distributed data systems for large datasets. Proficiency in regression, classification, and cluster analysis. Knowledge of data visualization/reporting software (e.g., Tableau). Advanced SQL, data mining skills, and analytical tools (R/Python/SAS). We are committed to More ❯