Principal Applied Data Scientist

Location: Greater London

## Principal Applied Data Scientist Apply locations:
G
-London-10 Paternoster Squaretime type:
Full time posted on:
Posted 17 Days Agojob requisition :
R0118411

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.

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, Tensor Flow, 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 Dev Ops practices including CI/CD, version control, automated testing, and monitoring to support reliable model deployment and maintenance.
* Experience with Type Script, 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…