6 of 6 Remote/Hybrid Customer Segmentation Jobs in England

insights, and opportunities for optimising marketing strategies at a campaign level across mainly digital performance channels for all GEOs. Using a combination of tools (customer database, MMPs i.e Appsflyer, Google Analytics, other marketing platforms, etc.) to analyse customer journeys both through the marketing acquisition and retention funnel allowing … better customer segmentation/personalisation, enhanced profitability and future targeting of lookalikes at scale ideally Managing relationships with multiple internal stakeholders based all over the world. Clean, transform, and prepare data for analysis to support the above Identify opportunities for process improvement or increased automation and efficiency through ...

each week in the office Start Date: ASAP Salary: £45,000 to £50,000 per annum The JobAs CRM Data Analyst, you will use customer and campaign data from CRM and digital channels to drive personalisation, smarter lifecycle marketing and continuous performance improvement. You will Build and maintain … performance dashboards in Power BI or Looker Studio to track engagement and conversion across the lifecycle Define and manage CRM measurement, segmentation, attribution and KPI frameworks Develop actionable insight reports that improve campaign targeting, automation and retention outcomes Support CRM forecasting and predictive modelling using SQL plus Python ...

home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex problems with machine learning techniques. … domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex ...

home working. Youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could be: A Data & AI Scientistuncovering insights, making predictions and solving complex problems with machine learning techniques. … domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex ...

month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning … domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex ...

month placements, youll see how we use data and AI to crack big-ticket challenges. From detecting fraud and managing credit risk to decoding customer behaviour and building smarter banking tools. You could become: A Data & AI Scientist uncovering insights, making predictions and solving complex problems with machine learning … domain knowledge and emerging GenAI applications. The work you could be doing Design and deploy machine learning models for fraud detection, credit risk, customer segmentation, and behavioural analytics using scalable frameworks like TensorFlow, PyTorch, and XGBoost. Engineer robust data pipelines and ML workflows using Apache Spark, Vertex ...