Principal Applied Data Scientist
Posted Updated
- 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 optimized 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 democratize modeling and analytics
- Collaborative environment: Join a team of experienced engineers in a culture of continuous learning and development
- 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