Principal Applied Data Scientist

Requirements

• 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
• 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
• Experience with cloud platforms (especially Azure and/or AWS) and modern deployment practices for scalable AI delivery
• 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
• (Desirable) Familiarity with DevOps practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance
• (Desirable) Experience with TypeScript, particularly for building or contributing to production services and APIs alongside ML systems
• EDUCATION Bachelor's degree in Engineering, Computer Science, Data Science, Statistics, Mathematics, Physics or a related field, or equivalent practical experience

What the job involves

• 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 deep technical expertise in NLP and LLMs, strong Python engineering skills, and real‑world experience shipping and supporting models in production
• You should be comfortable owning delivery timelines and ensuring that solutions meet business needs and production‑grade standards
• WHAT YOU’LL BE DOING: This is a hands‑on technical leadership role in a high‑impact environment focused on delivering production‑ready AI systems
• You will be part of the LSEG Workspace team — LSEG’s flagship platform that delivers personalised insights, news, and cutting‑edge analytics to financial professionals worldwide
• Your work will directly shape the AI capabilities embedded in a product that professionals rely on every day to make critical decisions
• Lead the end‑to‑end development of AI solutions: design, build, test, and deploy models that are robust, scalable, and used by real users
• Apply NLP and LLM techniques to solve real‑world problems, ensuring models are optimised for performance and reliability
• Continuously improve model quality through tuning, evaluation, and feedback from production usage
• Evaluate third‑party AI solutions with a critical eye on performance, scalability, and integration into production environments
• Write and maintain production‑grade Python code, adhering to best practices in software engineering and model development
• Collaborate with engineering and business partners to define requirements, shape roadmaps, and ensure successful delivery of AI products
• High‑impact projects: Work on innovative AI products that solve complex, high‑value challenges using rich datasets
• Competitive benefits: Strong compensation, comprehensive benefits, and investment in your career growth
• Industry leadership: Be a founding member of a team delivering novel products that democratise modelling and analytics
• Collaborative environment: Join a team of experienced engineers in a culture of continuous learning and development