26 to 27 of 27 Principal Data Scientist Jobs in England

Role summary: As a Principal Data Scientist (individual contributor), you will play a hands-on role in designing, building, and deploying scalable AI solutions that go beyond prototypes and are actively used in production. You'll work closely with collaborative teams to co-develop innovative products for financial markets and professionals.We're looking for someone who combines … Familiarity with DevOps practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance. Education Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience. What you'll get in return: High-impact projects : Work on innovative AI products that solve complex … ready to take your career to the next level and make a significant impact, we'd love to hear from you.LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.Our purpose is the foundation on which our culture is built. Our values of More ❯

the power to create their own destiny and make a positive contribution to the world of banking and society. THE ROLE We are seeking a visionary and hands on Principal Data Scientist to lead the design, development, and deployment of cutting edge AI/ML solutions across our Banking AI portfolio. This role is central to Temenos … operate and serve their customers. You will work closely with product managers, engineers, and domain experts to build scalable, ethical, and high performing AI systems. You will also mentor data scientists, contribute to AI governance, and drive innovation in areas such as GenAI, LLMs, and predictive analytics. OPPORTUNITIES AI Strategy & Innovation Lead research and prototyping of novel AI techniques … models into scalable, cloud native and on prem systems. Establish best practices for model monitoring, retraining, and lifecycle management. Technical Leadership & Mentorship Provide technical direction and mentorship to junior data scientists and engineers. Review code, model architectures, and experiments to ensure scientific rigor and quality. Contribute to the development of internal AI frameworks, tools, and reusable components. Stakeholder Engagement More ❯