7 of 7 Permanent Statistical Analysis Jobs in the South East

recommend solutions. Collecting, preparing, cleansing, and analysing data from multiple sources. Building skills in: Data Science and Analytics Machine Learning and Artificial Intelligence Statistical Analysis Data Engineering Fundamentals Data Visualisation and Storytelling Programming and Automation (e.g. Python, SQL) Supporting the development and testing of predictive models and analytical … improvement of analytical solutions. What You Will Learn Throughout the apprenticeship, you will gain experience and knowledge in: Data collection, preparation, and management techniques. Statistical methods and hypothesis testing. Programming languages such as Python and SQL. Machine learning concepts and model development. Data visualisation and storytelling techniques. Exploratory ...

experiments. Improve attribution and marketing measurement frameworks. Build and maintain Customer Lifetime Value (LTV) models to support acquisition strategy and budget decisions. Translate statistical analysis into clear commercial recommendations. Partner closely with marketing stakeholders to optimise spend and performance. Use AI tools to accelerate analysis, experimentation … insight generation. Your Skills & Experience Strong experience in marketing measurement, MMM, incrementality testing, or experimentation. Excellent statistical knowledge including causal inference, hypothesis testing, regression analysis, and experimental design. Strong SQL skills with experience working in modern analytics environments. Experience with Python and tools such as Snowflake and dbt. ...

organisation's Marketing Mix Modelling (MMM) framework using tools such as Meridian, Robyn, or PyMC-Marketing Deliver actionable budget allocation recommendations through response curve analysis, saturation modelling, and marginal CAC insights Design, validate, and analyse incrementality tests including geo experiments, lift studies, holdouts, and causal impact analyses Measure … budget planning decisions Apply predictive modelling and uplift modelling techniques to optimise customer targeting and campaign performance Work closely with marketing stakeholders to translate statistical findings into clear commercial recommendations Champion robust experimentation standards and causal measurement methodologies across the business Leverage AI tools to accelerate analysis, experimentation ...

work confidently with large, complex datasets. Experience with modern cloud data platforms such as BigQuery, Snowflake, Redshift, or similar. Strong understanding of experimentation, statistical analysis, performance measurement, and KPI development. Experience with data visualisation tools such as Tableau, Looker, or Power BI. Ability to communicate complex analytical findings … senior and executive stakeholders. Commercial mindset with a track record of using data to influence business outcomes. Python experience for analysis or automation would be advantageous. ...

banking, payments, e-commerce, or a similar fraud-focused environment. Strong Python and SQL skills are essential. Experience developing fraud models or applying advanced statistical analysis to fraud prevention challenges. Understanding of fraud detection, fraud scoring, identity verification, or fraud strategy frameworks. Ability to measure, communicate, and demonstrate ...

learning models and data pipelines. Experimenting with innovative approaches to translate complex business challenges into actionable data science solutions. Evaluating model performance through rigorous statistical analysis and assessing business impact. Collaborating closely with Machine Learning Engineers and Software Engineers to ensure seamless integration and adherence to best coding ...

robust performance measurement. Your Skills & Experience Strong experience leading analytics, data or insight functions. Advanced SQL and cloud data platform experience. Expertise in experimentation, statistical analysis and performance measurement. Ability to influence senior stakeholders and translate analytics into commercial outcomes. Experience with tools such as BigQuery, dbt, Airflow ...