Customer Analytics Manager
This role involves leading customer analytics efforts, including lifecycle analysis, segmentation, retention, and profitability. You'll work with complex datasets to provide actionable insights and manage 1-2 analysts.
This role involves leading customer analytics efforts, including lifecycle analysis, segmentation, retention, and profitability. You'll work with complex datasets to provide actionable insights and manage 1-2 analysts.
This role involves leading and shaping the data and insights strategy for a fintech's operations function. Responsibilities include managing a team of analysts, establishing KPIs, and driving data-driven decision-making and business growth through advanced analytics and reporting.
This role involves designing and developing enterprise-quality Power BI dashboards and reports, building scalable data pipelines using Azure, and translating business questions into actionable insights. You will work closely with senior stakeholders across the business to drive data-driven decision-making and shape the company's data strategy during a rapid growth phase.
This role involves leading the development and delivery of business intelligence reporting and analytics across various departments. The Business Intelligence Analyst will design and improve Power BI dashboards, analyse complex data from multiple systems, and provide actionable insights to support decision-making.
This role involves developing and deploying machine learning models, predictive analytics, and AI solutions to support strategic planning and operational decision-making. You will work closely with senior stakeholders and the data team to uncover actionable insights and improve business performance using modern cloud technologies and large datasets.
This role involves cleaning and integrating messy data, developing and improving machine learning models, exploring AI applications, and building data visualizations. You will work closely with stakeholders to translate business challenges into practical, data-driven solutions, with a focus on making a tangible impact on business performance.
This role involves developing and maintaining Power BI dashboards, writing and optimizing SQL queries, and translating business needs into actionable insights. You will work closely with stakeholders to gather requirements, deliver data-driven recommendations, and improve overall data usage within the organization.
Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional and multi-modal data. Build scalable neural networks using frameworks like PyTorch and TensorFlow, and translate R&D into production solutions. Work cross-functionally to deliver predictive insights that drive lending innovation.
Lead the development and deployment of deep learning models to enhance underwriting systems, focusing on non-traditional and multi-modal data such as time series and text. Design and implement neural networks (e.g., LSTMs, Transformers) to extract predictive features, bridging R&D with production through close collaboration with stakeholders. Work cross-functionally to deliver scalable, high-impact data science solutions in a hybrid working environment.
The Pricing Data Scientist will lead the development and enhancement of pricing models, support business decisions, and contribute to a significant transformation programme. Responsibilities include behavioural modelling, research, and improving pricing capabilities across personal and commercial product lines.
This role involves leading an analytics team, performing data analysis, and working closely with operational teams and stakeholders to improve performance and deliver actionable insights. The focus is on operational environments like airports, logistics, or manufacturing.
As a Data Scientist, you will lead the development of advanced machine learning models for insurance pricing and risk classification, working closely with pricing and machine learning teams to drive business improvements. You will prototype solutions, conduct research, and leverage vast data assets to enhance underwriting performance and product offerings.
The role involves developing and maintaining automated reporting solutions using Power BI, SQL, and Excel to deliver actionable insights across Mortgage Services. You'll analyze operational data, monitor KPIs, ensure data quality, and support decision-making through clear visualizations and stakeholder communication. The position emphasizes data accuracy, process automation, and cross-functional collaboration to drive performance improvements.
The Data Scientist role involves analysing large datasets, developing predictive models, and collaborating with stakeholders to deliver actionable insights. You will work in a hybrid setup, supporting the strategic use of data in a market-leading financial services business.
This role involves delivering high-quality business and commercial intelligence through data analysis, performance reporting, and KPI tracking. You will work closely with stakeholders across Finance, Operations, Marketing, and Business Development to provide actionable insights and improve reporting processes.