6 of 6 Predictive Analytics Jobs in Cheshire

strategy and systems used to assess the creditworthiness and financial capacity of loan applicants. This role focuses on building the overall architecture for the lending process, combining data, advanced analytics, and regulatory knowledge to create automated, efficient, and compliant decision-making platforms. Responsibilities Architecting decision platforms: Design, build, and implement the technical architecture for end-to-end credit risk … a deep blend of technical, analytical, and financial knowledge. Decision engine platforms: Extensive experience with industry-standard decisioning software like FICO Blaze Advisor, Pega, or other rule-based and predictive analytics tools. Data and analytics: Expert knowledge of data analysis tools and programming languages (eg, Python, R, SAS) and proficiency in database and data warehousing technologies. System More ❯

Ownership Oversee the architecture, performance, and development of the core e-commerce platform (Magento 2/headless commerce) and mobile app ecosystem. Drive AI innovation (personalisation, recommendations engine, automation, predictive analytics, generative AI capabilities). Ensure interoperability across systems (ERP, CRM, OMS, WMS, payment systems, retail POS). Operational Excellence Implement robust engineering principles, DevOps practices, and CI … reliability. Lead infrastructure decisions across cloud environments (AWS/GCP), cybersecurity, data governance, and compliance. Own disaster recovery, infrastructure resilience, and regulatory standards. Data & AI Strategy Oversee data platforms, analytics, machine learning models, and data governance frameworks. Embed data-driven decision-making across the organisation, enabling commercial, product, and marketing teams with actionable insights. Team & Culture Build and lead … Magento, headless, APIs, microservices) Mobile app ecosystems (React Native, Flutter, Swift/Kotlin) AI & Machine Learning (recommendation engines, LLMs, automation) Cloud infrastructure (AWS/GCP/Azure) Data engineering & analytics platforms Strong commercial acumen: understands how to drive profit, conversion, retention, and CLV through technology. Experience leading large technical teams (in-house + outsourced) across multiple disciplines and geographies. More ❯

and values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great More ❯

and values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great More ❯

engineers, and business stakeholders to define AI use cases, project scope, and measurable success criteria. Oversee delivery of initiatives such as machine learning model deployment, process automation, chatbots, or predictive analytics solutions. Ensure project governance, reporting, and documentation align with internal frameworks and regulatory standards. Manage risks, issues, and dependencies across multiple AI workstreams. Build strong partnerships with … Manager Requirements Proven experience delivering AI, data, or automation-driven projects within financial services or another highly regulated environment. Strong understanding of technology-enabled change, particularly involving data platforms, analytics, or automation tools (e.g. ML, NLP, RPA, GenAI). Excellent stakeholder management and communication skills, with the ability to influence at senior and executive levels. Strong project planning, governance More ❯

CTO to define and execute the engineering strategy. Lead and mentor Engineering Managers and senior technical leaders across multiple domains. Identify and implement opportunities in AI, machine learning, and predictive analytics. Oversee the expansion and integration of offshore development teams and delivery partners. Advance Agile ways of working to improve quality, consistency, and delivery confidence. Define team structures, roles More ❯