4 of 4 Remote/Hybrid Lead Data Scientist Jobs in London

Lead Data Scientist - Financial Crime (Consulting Environment) Salary: £90,000 - £120,000 + bonus + benefits Location: London (Hybrid - 2-3 days per week) We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. … This role sits within a high-performing and collaborative team, supporting a range of organisations across banking, fintech, and payments. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, and financial crime. The Lead ...

Description White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative … enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business ...

site Salary: Up to 67000 + 30 Days Holiday + Performance Bonus Sector: Independent National Standards & Research The Opportunity They are seeking a Lead Data Scientist to join a high-impact Directorate of Data Science and AI at the heart of Great Britain's national infrastructure. … This is not a "typical" tech role; you will lead the development of digital products and decision-support tools that directly improve the safety, efficiency, and sustainability of a major national network. As a senior practitioner, you will bridge the gap between technical delivery and senior leadership. You will ...

Cognizant is seeking a Principal Data Scientist in London to lead advanced machine learning initiatives and provide technical leadership. This hybrid role requires expertise in Python, deep learning, and MLOps, along with strong communication and problem-solving skills. The successful candidate will guide complex ML projects ...