# Principal Applied Data Scientist

**Company**: LSEG
**Location**: London
**Experience**: senior
**Job type**: full-time
**Category**: Data Science
**Industry**: Finance

**Apply**: https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/GBR-London-10-Paternoster-Square/Principal-Applied-Data-Scientist_R0118411-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_98e27b78-c3d

## Description

We are seeking a hands-on Principal Applied Data Scientist to join our team at LSEG Workspace in London. As a Principal Data Scientist, 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 will work closely with collaborative teams to co-develop innovative products for financial markets and professionals. Your expertise in NLP and LLMs, strong Python coding skills, and experience deploying models to production will be essential in this role.

Responsibilities:

- 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.

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.

Benefits:

- 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.

## Skills

### Required
- NLP
- LLMs
- Python
- PyTorch
- TensorFlow
- Scikit-Learn
- Azure
- AWS
- Cloud platforms
- Statistical modeling
- Probability

### Nice to have
- DevOps
- CI/CD
- Version control
- Automated testing
- Monitoring
- TypeScript

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Source: [Apply at lseg.wd3.myworkdayjobs.com](https://lseg.wd3.myworkdayjobs.com/en-US/Careers/job/GBR-London-10-Paternoster-Square/Principal-Applied-Data-Scientist_R0118411-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)