10 of 10 Statistical Analysis Jobs in the City of London

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 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 ❯

we look for in all our personnel. 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 More ❯

we look for in all our personnel. 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 More ❯

will play key role and be the first point of contact for all commercial analytics requests the get into the team. This team leverages technical expertise in actuarial modelling, statistical analysis, and risk management solutions to support a high-impact team of 90+ underwriters. You will build and maintain data pipelines and data models to elevate the Analytics More ❯

to interpret data, shape propositions, and influence senior stakeholders. Experience working cross-functionally and/or in international environments. Excellent communication and presentation skills. Desirable: Experience with Python for statistical analysis. Background in A/B testing design and evaluation. Familiarity with customer lifetime value modelling and loyalty analytics frameworks. WHY APPLY? Play a leading role in shaping the More ❯

that are robust and highly engaging to the player Use spreadsheets and simulation to create the best gaming experience possible Ensure all games meet necessary jurisdictional compliance requirements Provide statistical summaries that can be easily understood by non-mathematicians Work with game designers to turn game ideas into practical math models Review proposed designs and features and suggest alternatives … when necessary. Provide detailed statistical analysis of ideas under review. Put forward your own game design ideas Work with the Engineering Teams that create the math model in a game Document model data, structure and implementation details Validate that game engine statistics match the math model Help troubleshoot the engineering team’s implementation of a model Contribute to More ❯

that are robust and highly engaging to the player Use spreadsheets and simulation to create the best gaming experience possible Ensure all games meet necessary jurisdictional compliance requirements Provide statistical summaries that can be easily understood by non-mathematicians Work with game designers to turn game ideas into practical math models Review proposed designs and features and suggest alternatives … when necessary. Provide detailed statistical analysis of ideas under review. Put forward your own game design ideas Work with the Engineering Teams that create the math model in a game Document model data, structure and implementation details Validate that game engine statistics match the math model Help troubleshoot the engineering team’s implementation of a model Contribute to More ❯