Location
Paternoster Square, London

Hours
Full Time

Salary
Negotiable

About the Role
Are you an experienced data scientist passionate about productionising AI solutions? Join London Stock Exchange Group (LSEG) as a Senior Applied Data Scientist and help build innovative AI-driven solutions for financial markets and professionals. In this role, you will lead the development of scalable, high-impact AI models, moving beyond prototypes to production-ready systems. You will combine hands-on technical leadership with strategic oversight, working closely with software engineers and multidisciplinary teams to define project requirements and deliver robust, maintainable code aligned with business goals. This is an opportunity to contribute to pioneering AI products that democratize modeling and analytics solutions within a collaborative and innovative environment.

About LSEG
LSEG is a global financial markets infrastructure and data provider with over 300 years of history. Headquartered in the UK and operating in 70 countries, we empower economies, support financial stability, and enable sustainable growth. Our culture embraces diversity, innovation, and continuous development, offering meaningful career opportunities in a dynamic, inclusive workplace.

Experience
- Extensive experience applying data science methods to real-world problems with a proven track record of deploying AI models to production.
- Strong statistical analysis skills with a foundation in probability.
- Proficiency in Object-Oriented programming in Python and expertise in key data science and machine learning libraries such as TensorFlow, PyTorch, and Scikit-Learn.
- Expertise in cloud technologies, particularly Azure and/or AWS, including deployment practices.
- Proven ability to establish and uphold coding standards to ensure high-quality, maintainable code.
- Excellent communication skills to clearly convey complex technical concepts to both technical and non-technical stakeholders.

About you
- Collaborative and strategic thinker with strong problem-solving skills.
- Comfortable working in a fast-paced, innovative environment.
- Experience working closely with software engineers and cross-functional teams.
- Desirable: Working knowledge of DevOps practices including code versioning, CI/CD pipelines, automated testing, and monitoring to enhance development workflows and deployment reliability.

Qualifications
- Relevant degree or equivalent experience in data science, computer science, statistics, or related fields.
- Commitment to continuous learning and professional development.