London Stock Exchange · Posted 2d ago
Principal Applied Data Scientist
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- Location
- 🇬🇧 London, United Kingdom
- Contract
- Full-time
- Role
- Data science
- Source
- Stapply Data
Stack
- scikit-learn
- PyTorch
- TensorFlow
- LLM
- Python
- TypeScript
- AWS
- Azure
- CI/CD
The posting
Join LSEG, a leading global financial markets infrastructure and data provider. As a Principal Applied Data Scientist, you will design, build, and deploy scalable AI solutions for financial markets. You will work closely with collaborative teams, lead the end-to-end development of AI solutions, and continuously improve model quality. This is a hands-on technical leadership role with a focus on delivering production-ready AI systems.
- Lead the end-to-end development of AI solutions, including design, building, testing, and deployment of models. - Apply NLP and LLM techniques to solve real-world problems, ensuring models are optimized for performance and reliability. - Collaborate with engineering and business partners to define requirements, shape roadmaps, and ensure successful delivery of AI products.
- Strong Python programming skills, including object-oriented design and proficiency with key ML libraries (e.g., PyTorch, TensorFlow, Scikit-Learn) - Solid understanding of probability and statistical modeling to support robust model development and interpretation - Proven ability to set and uphold coding and model evaluation standards for production environments - Excellent communication skills to articulate technical decisions and trade-offs to both technical and non-technical audiences - Extensive hands-on experience applying NLP and LLMs to real-world problems, with a consistent track record of shipping models to production and supporting them post-deployment - Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable AI delivery - EDUCATION Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience - Experience with TypeScript, particularly for building or contributing to production services and APIs alongside ML systems - Familiarity with DevOps practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance