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# Associate Data Scientist

- **Company:** London Stock Exchange Group
- **Location:** Edinburgh, United Kingdom
- **Contract:** Permanent contract
- **Skills:** AI Evaluation, Artificial Intelligence, Computer Programming, Continuous Integration, Decision Support Systems, Python (Programming Language), Machine Learning, AI-enabled Products, Software Engineering, Large Language Models, Prompt Engineering, Software Version Control
- **Published:** November 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7af14cb4861c3996

## About the Role

* Knowledge of machine learning and generative AI concepts.

 * Understanding of statistical methods, experimentation, and data-driven decision making.

 * Ability to analyse data, identify patterns, and draw evidence-based conclusions.

 * Experience with Python or willingness to develop strong programming skills.

 * Strong communication skills with the ability to explain technical concepts clearly to diverse audiences.

Curiosity, learning agility, and a collaborative attitude.
*

Desirable Skills

 * Experience with AI evaluation, benchmarking, or experimentation methodologies.

 * Familiarity with large language models, prompt engineering, or agent-based AI systems.

Exposure to software engineering practices such as version control, testing, CI/CD, or cloud platforms.
*

## Description

Associate Data Scientists in our AI Engineering team work alongside expert data scientists and software engineers to build, measure, and improve AI-assisted products and capabilities used across LSEG., As an Associate Data Scientist, you will apply data science methods to support the development and continuous improvement of AI-powered products and platforms.

Working closely with data scientists, software engineers, product teams, and stakeholders, you will help ensure that AI systems are measurable, reliable, and aligned with customer needs. Your work will directly support the development and evaluation of production-facing AI capabilities.

What You'll Be Doing

 * Contribute to AI-enabled products, services, and platforms, including large language model and agentic AI use cases.

 * Help develop tools, frameworks, and processes that improve how teams measure, monitor, and enhance AI capabilities.

 * Analyse data and communicate findings, recommendations, and trade-offs to technical and non-technical audiences.

 * Contribute to implementing solutions that are scalable, maintainable, and operationally robust.

 * Work with internal customers to understand quality requirements and translate them into measurable evaluation criteria.