Principal Applied Data Scientist

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? Do you thrive in building real‑world AI solutions that are used by actual customers? If so, we’d love to talk to you!

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.

WHAT YOU’LL BE DOING

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

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 democratise modelling 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 anyone’s 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.