14 of 14 Linear Regression Jobs in England

The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret … Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills More ❯

The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret … Data Science:Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills More ❯

The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret … Data Science:Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills More ❯

The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret … Data Science:Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills More ❯

The Role: Data Cleaning and Preparation: Collect, clean, and prepare large media datasets from various sources (CRM, ad servers, audience panels) for analysis. Statistical Analysis: Utilise econometric techniques like regression analysis, time series modelling, and panel data analysis to identify relationships between media spend and business outcomes. Model Validation and Interpretation: Evaluate the accuracy and robustness of models, interpret … Data Science:Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement, and industry KPIs. Communication Skills More ❯

propositions and structure win-win commercial deals. Strong hands-on skills in Excel and PowerPoint, including financial modeling and executive presentations. Solid understanding of statistical modeling techniques such as Linear Regression, Logistic Regression, and Bayesian methods. Excellent communication skills-both written and verbal-with the ability to clearly present complex concepts to non-technical stakeholders. Leadership presence More ❯

Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics More ❯

Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics More ❯

Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics More ❯

Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics More ❯

Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics More ❯

Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics More ❯

Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics More ❯

Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java/C++ Qualifications and Attitude: Master’s (Required) in Data Science, Mathematics, Statistics, Economics More ❯