3 of 3 Regression Analysis Jobs in the North of England

to tenders and attending pitch presentations. Deliver profitable growth from delivering a premium service to new and existing clients. Lead an agreed portfolio of consulting model development and quantitative analysis assignments, including scoping and planning work, reviewing deliverables, setting agreed budgets, managing risk, and ensuring high levels of quality and good commercial outcomes. Oversee the development of complex statistical … models and tools using techniques such as regression analysis, time series and survival analyses, and Monte Carlo simulation. Code and review tools in modern computing languages (e.g., R, SAS, or Python). Establish policies and processes for the Quants team to act as an auditor’s expert. Lead and oversee quantitative testing performed for audit engagement teams in More ❯

help achieve business objectives. Collaborate with internal and external stakeholders to manage data logistics including data transfers. Understand data structures and business rules to enable project execution. Conduct real analysis work, such as building analytics models, performing profiling analysis and implementing ANCOVA analysis. Participate in internal meetings to review analytic results and discuss next steps. Attending external client … meetings to report status and present our analysis results. Supervise offshore junior resources to ensure tasks are completed efficiently. Review reports and provide Quality Control and Quality Assurance feedback. Write and update project documentation to ensure all processes and results are accurately recorded. Collaborate with cross-functional teams to ensure smooth project execution. Participate in business strategy meetings to … of experience in any occupation in which the required experience was gained. Position also requires two years of experience in each of the following: Perform longitudinal and cross-sectional analysis using Python, SQL, SAS, and R. Develop advanced marketing analytics models, including multi-channel attribution model. Utilize Databricks to perform data analysis and manage data workflows. Apply statistical More ❯

production environments, with an understanding of both model evaluation and productionisation challenges. Expertise in statistics, hypothesis testing, sampling techniques, and anomaly detection, along with experience applying predictive modelling and regression analysis. Excellent communication and stakeholder management skills, with the ability to juggle multiple projects and guide cross- functional teams through ML solution delivery. Access bespoke development programmes that have More ❯