Overview
Are you a hands-on data scientist with deep expertise in NLP and LLMs, strong Python coding skills, and a track record of deploying models to production? We’d love to talk to you if you thrive in building real-world AI solutions used by actual customers.
ROLE SUMMARY: As a Principal Data Scientist (individual contributor), you will design, build, and deploy scalable AI solutions that go beyond prototypes and are actively used in production. You’ll work 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.
What you’ll bring
ESSENTIAL SKILLS
- 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 SKILLS
- Familiarity with DevOps practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance.
- Experience with TypeScript, particularly for building or contributing to production services and APIs alongside ML systems.
Education
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, 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.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.
Career Stage: Manager
About London Stock Exchange Group (LSEG) information
Join us and be part of a team that values innovation, quality, and continuous improvement. LSEG is a leading global financial markets infrastructure and data provider with a purpose of driving financial stability and enabling sustainable growth. Our values are Integrity, Partnership, Excellence, and Change, which guide our decisions and daily actions. We operate globally with colleagues across 65 countries. We are committed to sustainability and provide opportunities to help our customers meet their objectives. Our charity, the LSEG Foundation, supports community programs that promote economic opportunity. Colleagues can participate in fundraising and volunteering. LSEG offers tailored benefits including healthcare, retirement planning, paid volunteering days, and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information LSEG may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject. If you are submitting as a Recruitment Agency Partner, it is essential to ensure that candidates applying to LSEG are aware of this privacy notice.
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