Nottingham, Nottinghamshire, England, United Kingdom
E.ON
We are looking for a Senior Data Analyst to join our CreditRisk Portfolio Management team - a key function responsible for understanding and forecasting the financial health of the customer base. The role requires the use of advanced analytics to provide deep insights into creditrisk and performance to inform our risk management strategy. This … translate insights into action. Here's a taste of what you'll be doing Partnering with Finance to develop and maintain debt forecasts to track performance vs. plan, forecast risk and deep dive into the drivers of variations to plan Developing scenario models to enable data-based decisioning within operational and strategic planning cycles Staying up to date with … techniques and technologies, partnering with Data Science to deliver advanced segmentation and behavioural analysis Delivering and consulting on the advanced analytics required to support project delivery across the wider Credit Management function e.g. simulation models, data pipeline mock ups, statistically robust testing Translating analytical outputs into clear recommendations for business stakeholders, influencing decisions across debt prevention and collections strategy More ❯
customer lifecycle. This is a hands-on, commercially focused role where you’ll build and improve predictive models, support autonomous decisioning frameworks, and deliver actionable insights across fraud, marketing, creditrisk, and customer management. You’ll join a collaborative team and work closely with cross-functional squads, contributing to impactful projects while developing your skills in machine learning … experimentation, and modern data tooling. Key Responsibilities: Model development & improvement : Build, validate and maintain predictive models (e.g., creditrisk, fraud, marketing response, collections) with guidance from senior teammates. Decisioning support : Translate models into business decisions through clear documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion–challenger tests; deliver insights More ❯
customer lifecycle. This is a hands-on, commercially focused role where you'll build and improve predictive models, support autonomous decisioning frameworks, and deliver actionable insights across fraud, marketing, creditrisk, and customer management. You'll join a collaborative team and work closely with cross-functional squads, contributing to impactful projects while developing your skills in machine learning … experimentation, and modern data tooling. Key Responsibilities: Model development & improvement : Build, validate and maintain predictive models (e.g., creditrisk, fraud, marketing response, collections) with guidance from senior teammates. Decisioning support : Translate models into business decisions through clear documentation, model outputs, and policy/testing setups. Experimentation : Design and analyse A/B and champion-challenger tests; deliver insights More ❯
across the customer lifecycle. This is a hands-on, commercially focused role where you'll develop predictive models, deploy autonomous decisioning frameworks, and deliver actionable insights across fraud, marketing, creditrisk, and customer management. You'll work closely with cross-functional teams and have the opportunity to shape the future of data science within a dynamic, forward-thinking More ❯