4 of 4 Remote/Hybrid Applied Mathematics Jobs in the UK

well‐versed in current research and emerging methodologies, PhD‐educated in a quantitative field such as Computer Science, Statistics, Applied Mathematics, Physics, or a related discipline, Skilled at translating advanced research concepts into practical, high‐impact industrial applications, Fluent in Python and experienced in regression and classification ...

opportunity to build the future of finance with Citi Tech. Role Summary We are seeking a visionary and hands‐on Head of Applied AI Engineering to lead the design, development, and deployment of AI‐driven solutions for our Banking division , covering Investment (ECM, DCM, M&A), Corporate … summarization tools, or automated pitch generation. Exposure to enterprise CRM systems and client intelligence platforms. Advanced degree in Computer Science, AI, Applied Mathematics, or related quantitative field. What Success Looks Like AI tools embedded into daily workflows of bankers and analysts. Reduction in manual effort across client ...

compliance teams on AI model governance.* **Team Building & Leadership -** Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of innovation, delivery excellence, and business alignment.**Qualifications Must-Have Skills & Experience*** Significant proven data science/AI engineering experience … summarization tools, or automated pitch generation.* Exposure to enterprise CRM systems and client intelligence platforms.* Advanced degree in Computer Science, AI, Applied Mathematics, or related quantitative field.**What Success Looks Like*** AI tools embedded into daily workflows of bankers and analysts.* Reduction in manual effort across client ...

diversity of experiences. We look for: A Bachelor’s or Master’s degree in Engineering, Supply Chain, Operations Research, Computer Science, Applied Mathematics, or a related field. Proven experience in Supply Chain projects, including: Assessing supply chain performance across planning, forecasting, sourcing, logistics, and fulfilment. Developing data ...