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 via the more »
bolstering revenue from existing contracts and facilitating the pursuit of fresh business ventures. Leverage historical records and descriptions of engineering tasks and equipment, employing regressionanalysis or alternative estimating techniques to formulate parametric evaluations and cost analysis, or to generate estimates encompassing labour, materials, and other miscellaneous more »
change design and public policy work. They are looking for a Quantitative researcher with experience in advanced methods including segmentation, MaxDiff, Conjoint, key driver analysis, regression OR factor analysis. This is a full service role where you will design and deliver quant/mixed method projects to clients. more »
a critical role in our small Data Engineering team of 2, you’ll have the opportunity to challenge the status quo, preparing ad-hoc analysis, supporting business users in self-serve operations mode and actively championing data-science use and robust data analysis across the organisation. THE RESPONSIBILITIES … data-driven decisions. Co-own customer data and insights in collaboration with the Marketing teams. Apply advanced statistical and machine learning techniques, including clustering, regressionanalysis, and predictive modelling, to extract deeper insights from customer data. Build predictive models to forecast customer behaviour, including sales trends, churn prediction … and lifetime value projections. Utilise techniques like customer lifetime value (CLV) modelling and cohort analysis to provide a comprehensive view of customer behaviour. Champion a data-driven culture. THE PERSON Strong communication skills; able to articulate complex technical topics for non-technical colleagues to understand and report on data more »
s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate … reports to ensure data quality and business value. Clean, structure and normalize data to eliminate redundant or unnecessary information to enable robust and sound analysis Participate in the development of both back-end data pipelines and front-end applications Generate analytical reports to track adherence of client processes to … in Mathematics, Engineering, Statistics, Computer Science or Physics. Advanced degree preferred but not required. Knowledge of Linear Algebra, Probability Theory, Statistics and Optimization, including regressionanalysis, parameter estimation, factors selection, PCA, hypothesis testing, time series, queuing theory, survival analysis, clustering, linear programming. Experience with machine learning methods more »
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 regressionanalysis, cluster analysis, factor analysis/principal component analysis, experimental designs using more »
Virtualization: Proficiency in Docker and experience with container management and deployment •Statistics and mathematics: Understanding of statistical concepts and methods such as statistical testing, regressionanalysis, time series analysis, and probability theory •You want to build something that is both technologically challenging and solves a real customer more »
serious commercial experience working in a data analytics role. What technical skills are required? wrangling mastery - having the data shaping skills needed to deliver analysis across relational and non-relational data structures, working with structured, semi-structured and unstructured formats. proficiency - very comfortable employing statistical techniques to solve commercial … problems, including, hypothesis testing, feature transformations, dimensionality reduction, correlation analysis, regressionanalysis (multiple linear and logistic), time series analysis and Bayesian methods. skills - adept in Python and its core data/analytics libraries (including in relation to working with Amazon Dynamo DB), alongside SQL, HiveQL, Scala. more »
and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine more »
and SQL Solid grasp of mathematical statistics including distributions, statistical testing, and regression. Skilled in employing advanced machine learning algorithms and statistical techniques like regression, simulation, scenario analysis, modelling, clustering, decision trees, and neural networks to address business challenges. Demonstrated track record of applying statistical modelling and machine more »
commercial acumen that generates actionable business insights from data. • Skills in Microsoft Excel (e.g. Pivot tables or VBA etc.), correlation analytics and/or regression analysis. For an informal discussion and full job on the role, please apply with CV. New Role: Commercial Analytics Manager Location: Central London (onsite more »
commercial acumen that generates actionable business insights from data. • Skills in Microsoft Excel (e.g. Pivot tables or VBA etc.), correlation analytics and/or regression analysis. For an informal discussion and full job on the role, please apply with CV. New Role: Commercial Analytics Manager Location: Central London (onsite more »
