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2 lead data scientist jobs found in Nottingham

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Nottingham United Kingdom lead data scientist
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Data Engineer  (1) Information Technology  (1)
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Full time  (2)
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London Stock Exchange Group  (2)
London Stock Exchange Group
Full time
 
Senior Cloud Data Engineer
London Stock Exchange Group Chapel Quarter, Nottingham NG1, UK
LSEG (London Stock Exchange Group)  is a world-leading  financial markets   infrastructure  and  data  business. We are dedicated, open-access partners with a commitment to excellence in delivering services across  Data & Analytics ,  Capital Markets , and  Post Trade . Backed by three hundred years of experience, innovative technologies, and a team of over  23,000  people in  70  countries, our purpose is driving financial stability, empowering economies, and enabling customers to create sustainable growth. Role Description : As a Senior Cloud Data Engineer, you’ll design and implement functionalities, focusing on Data Engineering tasks. You’ll be working with semi-structured and non-structured data to ingest and distribute in cloud environments to modernize data products and distribution channels. You’ll drive the software development lifecycle for continuous data delivery and lead the evaluation and adoption of emerging technologies. Key Responsibilities...

Dec 15, 2025
London Stock Exchange Group
Full time
 
Principal AI Architect
London Stock Exchange Group Chapel Quarter, Nottingham NG1, UK
Reporting to the Director of Architecture within the Risk Intelligence team. Risk Intelligence is responsible for developing critical services that support anti-money laundering efforts in the financial markets. We’re seeking a forward-looking Principal AI Architect to lead and oversee the design, development, and governance of our AI and ML platform. This is a hands-on, strategic role where you’ll help to shape the future of our AI capabilities, coach engineers, and ensure our tooling and frameworks are cutting-edge. You’ll be instrumental in driving innovation across both machine learning and emerging generative AI technologies. MAIN RESPONSIBILITIES: Architecture Leadership: Define and evolve the architecture for AI/ML systems, ensuring scalability, governance, data structures and paradigms (Lakehouse, warehouse, etc), data lineage, shared runtime, common AI workspaces and performance. Code & Model Reviews: Conduct technical reviews of both code and AI/ML...

Dec 15, 2025
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