8 of 8 Regression Analysis Jobs in England

Analytics and Workforce Insight Lead Dstl's people analytics and workforce insight capability. Produce workforce dashboards, reports and analytical products. Deliver workforce forecasting, trend analysis and workforce research. Support evidence-based workforce planning and organisational decision-making. Improve workforce data quality and reporting standards. Resource Management Operating Model (RMOM … complex organisation. Experience developing workforce strategies, workforce supply and demand models and workforce forecasts. Strong people analytics capability, including workforce insight, dashboard development, trend analysis and reporting. Experience conducting workforce capability assessments and workforce risk analysis. Experience developing evidence-based recommendations for senior leaders and Executive-level stakeholders. Experience ...

decision making. The role will work closely with colleagues across analytics, BI, data engineering, information governance, commissioning and system partners, while focusing on advanced analysis, evidence generation and evaluation rather than routine reporting or dashboard development. Main duties of the job You will lead complex analytical and evaluative projects … applying methods such as regression, forecasting, segmentation, risk stratification, causal inference, impact evaluation, cost-effectiveness analysis and statistical modelling where appropriate. You will be experienced in working with complex health, care, finance, quality and population datasets, and able to turn analysis into clear insight, recommendations and strategic ...

Lead end-to-end MMM and marketing effectiveness programs for international clients, from data strategy and collection to modelling, insights, and activation.· Apply econometrics, regression, Bayesian statistics, and machine learning methods to analyse marketing and customer data· Collaborate closely with Managers to understand the project scope, structure, analytical approaches … Python, R, SQL, or similar tools.· Experience with Databricks, Azure, or other cloud/data platforms is a plus.· Solid understanding of econometrics, regression analysis, Bayesian statistics, or other advanced modelling techniques.· Experience translating data and model outputs into actionable business recommendations.· Comfortable handling large datasets, optimizing data ...

This role will be critical to helping optimize our decision-making abilities across the Marketing domain. This position will be responsible for leading domain analysis creation, providing best in class insights and proposals for change, designing solutions and working cross-functionally to implement process and change within the organization. … Data-Driven Action Requirements: Leverage large-scale marketing performance data using advanced analytics and data science techniques (e.g., predictive modeling, segmentation, regression analysis) to identify actionable insights. Drive digital, web, demand and pipeline analytics. Build and refine predictive and diagnostic models to support forecasting, targeting, and optimization strategies. ...

Jump Trading probe and examine the global markets, seeking to understand the complexities of various traded products and exchanges. They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models. What You'll Do: Quantitative … analyze tens of thousands of data sets, identify patterns and extract insights into the complexities in financial markets. Researchers lean heavily on statistical analysis, machine learning, and data engineering skills; applying the results of their research to forecasts and predictive trading models. Jump’s Quantitative Researchers are constantly collaborating ...

measurable outcomes. Key Responsibilities Analyse large and complex datasets to identify trends, patterns and performance drivers. Develop and implement statistical and predictive models. Conduct regression analysis and forecasting exercises. Design approaches for sourcing, cleansing and integrating multiple data sources. Translate complex analytical findings into clear business recommendations. Work … Strong Python and data analytics capability. Experience working with large, complex datasets. Ability to communicate technical findings to non-technical audiences. Experience turning data analysis into actionable business recommendations. Desirable Experience Experience working with weather, climate or environmental datasets. Forecasting or risk analytics experience. Machine learning model development. Commercial ...

services, environment promotion, network and security considerations, and operational monitoring. Experience integrating quality and security checks into pipelines, including unit tests, integration tests, automated regression tests, static code analysis, dependency scanning, secret scanning, and deployment approvals. Preferred Qualifications and Certifications Degree in computer science, software engineering, information technology ...

outcome variables from scratch. Epidemiological Methods: Solid understanding of epidemiologic study designs and methodologies. Statistical Expertise: Hands-on experience with basic statistical tests, regression models, and survival analysis. Educational Background: Advanced degree in Biostatistics or Epidemiology. Preferred: Prior experience in the pharmaceutical industry, but not necessarily. In addition: Assess … sourcing, organizing (creating statistical tables, listings, and graphs), and interpreting complex data sets utilizing codes and programs. This includes developing codes that create analysis datasets, tables, and figures, evaluating programming processes, and suggesting revisions geared toward increasing productivity. Impact and Contribution Individual contributors with responsibility in a professional ...