1 to 25 of 60 Experimental Design Jobs in the UK

testing frameworks and tools that enhance the platform’s capabilities and reporting accuracy Provide expert guidance and training to cross-functional teams on experimental design, hypothesis testing, and statistical best practices to optimize test duration, sample size, and overall experiment quality Conduct original research to explore … develop innovative approaches for experimentation challenges, including designing proof-of-concept studies and integrating new methodologies into production workflows Analyze complex experimental data, build simulation frameworks to quantify error rates, and communicate findings clearly to both technical and non-technical stakeholders to inform business decisions What we're looking ...

data pipelines, switching validation methods, or implementing AI-assisted workflows - and quantify their impact on dataset quality and business outcomes. Build a curriculum on experimental design, A/B testing, and hypothesis testing for data operations and teach teams to run controlled experiments to quantify improvements based … trials) within data-centric environments Bachelor's degree or higher in Computer Science, Engineering, Data Science, or other data-related field. Strong foundation in experimental design and statistical inference: hypothesis testing, confidence intervals, power analysis, p-values, correlation vs. causation, and when different methods apply Proficiency with ...

autonomy by designing robust, source-controlled data pipelines for marketing data products. Mentor and up-skill our wider analytics team, in the principles of experimental design and causal inference, helping to level-up the entire team. Who You Are You have an expert-level SQL and Python … large-scale data analysis and model development. You have a deep understanding of causal inference methodologies (e.g., DiD, PSM/IPW) and advanced experimental design (A/B/n testing). Ideally, you have proven experience developing and deploying Marketing Mix Models in a commercial environment. ...

autonomy by designing robust, source-controlled data pipelines for marketing data products. Mentor and up-skill our wider analytics team, in the principles of experimental design and causal inference, helping to level-up the entire team. What We're Looking For You have an expert-level … large-scale data analysis and model development. You have a deep understanding of causal inference methodologies (e.g., DiD, PSM/IPW) and advanced experimental design (A/B/n testing). Ideally, you have proven experience developing and deploying Marketing Mix Models in a commercial environment. ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...

create computationally intensive data science problems for an advanced AI evaluation project. This is a remote, project-based opportunity for experts who can design challenging problems that require computational methods to solve and mirror the full data science lifecycle - from data acquisition and processing to statistical analysis … Analytics & Predictive Modeling Customer segmentation, churn prediction, and CLV modeling algorithms Fraud detection with precision-recall optimization A/B test statistical calculations and experimental design Cohort analysis and retention rate computations Model evaluation metrics and performance optimization Statistical Analysis & Data Processing Hypothesis testing with multiple comparison ...