1 to 25 of 95 Permanent Statistical Analysis Jobs in England

fraud, not customers. See what others can't at What you'll achieve As a Senior Data Scientist you will develop and implement machine learning models, perform advanced data analysis, and identify patterns and trends to improve the efficiency and usability of our products and services. You will also be responsible for creating insightful reports and dashboards to support … data-driven decision-making across the organization. Responsibilities Understand business problems and conduct statistical analysis independently. Break down hard problems. Communicate effectively to senior stakeholders. Deliver value end-to-end. Self-serve data engineering and infrastructure as required. Make recommendations on best practice in terms of analysis, machine learning and data science. Have a transformative presence in … the team. Develop and implement machine learning models, including feature engineering, model design, training, and deployment. Perform data mining, exploration, and statistical analysis to uncover trends and actionable insights. Create data visualizations, reports, dashboards, and perform data audits. Leverage predictive models to optimize customer experiences and drive business outcomes. Create automated anomaly detection systems to monitor and ensure More ❯

Principal, Statistical Programmer page is loaded Principal, Statistical Programmer Apply remote type: Remote locations: Europe-Remote, London-Remote; time type: Full time; posted on: Posted Yesterday; job requisition id: JR000430 Are you being referred to one of our roles by a connection in Alira Health? If so, please apply using the referral link emailed to you. Join our … ideas are explored with an open mind, driven by our shared values: be courageous, be accountable, be honest, be inclusive, and elevate others. Job Description Summary Support and lead statistical programming activities on client clinical projects, including complex projects, producing high-quality deliverables on time and following relevant SOPs. Job Description Role The Principal Statistical Programmer will support … and lead statistical programming activities on client clinical projects, including complex projects. They will produce high-quality deliverables within agreed timelines and follow SOPs. Additionally, they will support effective deployment of project resources and contribute to maintaining an efficient statistical programming department. Key Responsibilities Lead statistical programming activities on clinical projects, including complex projects. Support the identification More ❯

which has not previously been obtainable. 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 … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: 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: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

which has not previously been obtainable. 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 … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: 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: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

which has not previously been obtainable. 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 … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: 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: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

which has not previously been obtainable. 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 … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: 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: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

which has not previously been obtainable. 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 … a clear and concise manner. Campaign Optimisation: Provide data-driven insights to inform media buying strategies, including channel allocation, budget optimisation, and creative testing. Advanced Analytics: Explore new data analysis techniques like machine learning to enhance model accuracy and uncover deeper insights. Your Experience and Skills: 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: Ability to clearly communicate complex statistical concepts and insights to non-technical More ❯

responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. We work in a hybrid way at Saga both at home and in the office. When you do come into the office, itll be with a real purpose … Income protection Access to Saga Academy, our bespoke learning platform Main Responsibilities As one of our Senior Data Analysts you will be fully accountable for the following areas; Data Analysis and Interpretation: Develop and Oversee the analysis of large datasets to identify trends, patterns, and actionable insights relevant to business objectives Reporting and visualisation: Develop and deliver clear … and integrate insights into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts Data Quality and Governance: Ensure the quality and integrity of data used for analysis, implementing and maintaining data governance best practices. Collaborate with IT and data teams to resolve data quality issues Agile ways of working: Demonstrate experience in working in an agile More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

build advanced customer segmentation models, and leverage predictive analytics to enhance business decision-making and identifying key insights to help identify audience opportunities for prospecting. Main Responsibilities Lead data analysis initiatives across the subscriber lifecycle, from acquisition to retention and lifetime value. Define and maintain reports to track KPIs, providing actionable insights to stakeholders across the business. Develop, improve … analytics, preferably in a subscription-based business . Strong commercial acumen , with the ability to translate data insights into business strategies. Advanced analytical and quantitative skills , with expertise in statistical analysis and predictive modeling. Proficiency in SQL, Python, or R , and experience with data visualization tools such as Power BI, Tableau, or Looker Studio. Excellent stakeholder management skills … to non-technical audiences. Knowledge of data science and machine learning techniques applied to subscription-based businesses, including churn prediction and lifetime value modeling. Experience in customer segmentation, cohort analysis, and marketing mix modelling (MMM). Example projects The i Paper - POLARIS Dashboard build and automation, including the setting of the KPI's - which we settled on using the More ❯

domains. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using statistical techniques. At Saga, we see data as a strategic asset and is one of the core pillars of our corporate strategy. Given the size and quality of our database … closely with Marketing teams to understand their challenges and design targeted analytical solutions that address key pain points. Ensure solutions are practical, impactful, and consistently achieve high adoption. Data Analysis and Interpretation: Develop and Oversee the analysis of large datasets to identify trends, patterns, and actionable insights relevant to business objectives. Reporting and visualisation: Develop and deliver clear … and integrate insights into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. Data Quality and Governance: Ensure the quality and integrity of data used for analysis, implementing and maintaining data governance best practices. Collaborate with IT and data teams to resolve data quality issues. Agile ways of working: Demonstrate experience in working in an agile More ❯

domains. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using statistical techniques. At Saga, we see data as a strategic asset and is one of the core pillars of our corporate strategy. Given the size and quality of our database … closely with Marketing teams to understand their challenges and design targeted analytical solutions that address key pain points. Ensure solutions are practical, impactful, and consistently achieve high adoption. Data Analysis and Interpretation: Develop and Oversee the analysis of large datasets to identify trends, patterns, and actionable insights relevant to business objectives. Reporting and visualisation: Develop and deliver clear … and integrate insights into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts. Data Quality and Governance: Ensure the quality and integrity of data used for analysis, implementing and maintaining data governance best practices. Collaborate with IT and data teams to resolve data quality issues. Agile ways of working: Demonstrate experience in working in an agile More ❯

of autonomy and minimal supervision. Proactively identify, initiate, and manage tasks and projects. Utilize SQL for querying databases to retrieve and manipulate data. Employ Excel skills for data cleaning, analysis, creating formulas, and generating visualizations, including pivot tables. Use data visualization tools like Power BI (desirable but not essential) and programming languages like Python or R for data manipulation … statistical analysis, and visualization. Communicate findings and insights effectively to both technical and non-technical team members. Required Skills & Qualifications: Technical Skills: Strong SQL skills for database management. Proficiency in Excel including pivot tables. Familiarity with data visualization tools like Power BI. Knowledge of programming languages such as Python or R is highly beneficial. Analytical & Cognitive Skills: Critical … to evaluate data, identify patterns, and think logically. Problem-solving: Skill in addressing complex data issues and proposing actionable solutions. Attention to detail: Crucial for ensuring accuracy in data analysis and reporting. Soft Skills: Excellent communication skills to convey findings clearly. Effective teamwork capabilities, suitable for remote collaboration. Independence in managing tasks and workload. Qualifications & Experience: A degree in More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

build expertise in business intelligence, data management, and emerging AI technologies. The successful candidate will support data-driven decision making across the organization while developing technical skills in data analysis and visualization. Key Responsibilities: Data Management & Quality Perform data cleansing, validation, and quality assurance processes Identify and resolve data inconsistencies and anomalies Document data sources, transformations, and cleansing procedures … standpoint, candidates must demonstrate strong proficiency in Excel and data manipulation techniques, along with basic knowledge of SQL for data querying and retrieval. A solid understanding of fundamental data analysis concepts and methodologies is essential, as is familiarity with database management principles and basic statistical analysis techniques. Beyond technical capabilities, we seek individuals with exceptional analytical and More ❯

Parties/Customer) to improve performance, budget efficiency, and ROI. Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights. Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions. Present complex data in clear, actionable formats for various stakeholders. Build and maintain dashboards and reports using … technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Job Offer Competitive salary range of £35,000 to £45,000 per annum. Comprehensive pension scheme to support More ❯

Parties/Customer) to improve performance, budget efficiency, and ROI. Track key customer KPIs and support acquisition and retention strategies through A/B testing and data insights. Conduct statistical analysis to identify trends, patterns, and outliers that inform strategic decisions. Present complex data in clear, actionable formats for various stakeholders. Build and maintain dashboards and reports using … technical insights to non-technical audiences effectively (Essential) Detail-oriented and process-driven with a focus on continuous improvement (Essential) Comfortable working in a fast-paced, evolving environment (Essential) Statistical Methods Knowledge (Desirable) Experience using Salesforce and data visualisation tools (Desirable) Job Offer Competitive salary range of £35,000 to £45,000 per annum. Comprehensive pension scheme to support More ❯

measurement and test solutions for modem and link validation, with an emphasis on baseband signal processing and digital verification workflows . Analyze and define calibration and metrology approaches, including statistical error analysis, confidence intervals, and error budgets. Develop modular and reusable software tools (primarily in Python or similar languages) for diverse test environments. Analyze and troubleshoot link performance … DVB-S2, CCSDS). Experience with collaborative software development practices (version control, code reviews). Background in test automation frameworks. Proficiency in both Linux and Windows environments. Skills in statistical analysis and metrology. More ❯

measurement and test solutions for modem and link validation, with an emphasis on baseband signal processing and digital verification workflows . Analyze and define calibration and metrology approaches, including statistical error analysis, confidence intervals, and error budgets. Develop modular and reusable software tools (primarily in Python or similar languages) for diverse test environments. Analyze and troubleshoot link performance … DVB-S2, CCSDS). Experience with collaborative software development practices (version control, code reviews). Background in test automation frameworks. Proficiency in both Linux and Windows environments. Skills in statistical analysis and metrology. More ❯