3 of 3 Customer Insight Jobs in Edinburgh

each year, generating £650m income per annum, with strong growth this year and in plan going forward. The purpose of the Loans Commercial Performance team is to deliver our customer lending goals, with sustainable shareholder returns, and within our risk appetite. Key responsibilities and accountabilities Understand customer behaviour and commercial performance drivers to support delivery of the Loans … customer and financial plans Provide and present concise, insightful performance analysis to senior stakeholders Your role will involve implementing data management, controls, and governance and ensuring effective oversight to minimise data risk. You will be a champion for change, finding opportunities to improve our existing data management capabilities or transform our current ways of working with data. Your role … will involve collaboration with non-technical colleagues to understand data needs for Loans Commercial Pricing, Performance, and Reporting. Identify opportunities to increase customer demand and shape future Loans propositions based on deep customer and competitor insight Work effectively with wide range of key stakeholders (e.g., GB&M, Customer Insight, Finance, Group Transformation, Customer Propositions More ❯

a day-to-day basis, the postholder will be tasked with using their technical skills to help the team deliver key pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning these analyses into actionable insights which the business can use. Main Responsibilities Building Machine Learning models that provide insight into customers … and helps the business predict customer behaviour around scheme misuse, EV transition and affordability. These models are essential as the business undergoes transformation to become data driven and make evidence-based decisions. Provide insight into customer behaviour, choices and preferences using statistical methods such as regression and hypothesis testing to analyse data from our customer database. … Building dashboards that is able to tell a story and provide the business with key insights on customer behaviour. Analyse customer research data to gain insights on customer behaviour using Natural Language Processing (NLP) techniques such as sentiment analysis and topic modelling. Provide education to both internal and external stakeholders about the modelling process, including the assumptions More ❯

greater confidence in reporting, analytics, and the adoption of AI. Transformation: Support front and back-office transformation initiatives by improving data architecture to enhance pricing, claims automation, regulatory reporting, customer insights, and risk management. Lead delivery teams on complex change programs, from solution design to managing onshore and offshore technical delivery teams, fostering business insights, transformation, and innovation. AI More ❯