2 of 2 Customer Analytics Jobs in the South West

decisions that fuel innovation and operational excellence. Based from our Bristol office working on a hybrid basis (3 days in the office), you'll lead a small team of analytics professionals, ensuring the delivery of actionable insights to optimise product performance, enhance customer experience, and shape the future direction of the business. This role offers the opportunity to … the data culture, and make a tangible impact in a dynamic, fast-paced environment. Key areas of responsibility will include: Strategic leadership Defining and executing a management information and analytics strategy that supports Zellis' business goals. Mentoring and developing a high-performing team of analysts and data specialists, fostering a collaborative and innovative work culture across the Business Units … and Group. Collaborating with executive leadership to identify data opportunities and inform strategic decision-making. Data analytics and insights Analysing financial, customer, product, and operational data to deliver actionable insights that drive performance and revenue growth. Identifying key performance indicators (KPIs) relevant to the software sector, enabling effective tracking of organisational success. Ensuring key metrics are clearly defined. More ❯

and AI services. We are seeking a highly skilled and experienced Data Science Consultant to join our team. The ideal candidate will have a strong background in data science, analytics, IT consulting, and domain expertise in financial services. As a Data Science Consultant, you will work closely with clients to understand their business challenges, design and implement data-driven … compliance, will be a critical asset. #LI-DNI Responsibilities Support financial services clients with the definition and implementation of their AI strategy, focusing on areas such as risk management, customer analytics and operational efficiency Implement and oversee AI governance frameworks, with an emphasis on regulatory compliance (e.g., Basel III, GDPR) and ethical AI principles Ideate, design and implement … AI-enabled solutions for financial services use cases, such as credit scoring, fraud detection, customer segmentation and predictive modeling Lead the process of taking AI/ML models from development to production, ensuring robust MLOps practices tailored to financial data environments Monitor and manage model performance, including addressing issues related to explainability, data drift and model drift in financial More ❯