Data Scientist - GraphRAG
- Discuss this with your agent
- Open in Claude
- Open in ChatGPT
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Tech stack
+3 more
Job description
- Design, develop and optimise GraphRAG solutions using large-scale structured and unstructured datasets.
- Transform experimental notebooks and AI prototypes into clean, maintainable, and production-ready software.
- Build reusable software components and engineering frameworks that can be leveraged across multiple teams.
- Optimise code for performance, scalability, and reliability while contributing to enterprise AI initiatives.
- Mentor colleagues, share engineering best practices, and contribute to a culture of technical excellence.
Requirements
Are you passionate about building intelligent, production-ready AI solutions that solve complex real-world problems? We’re looking for a Data Scientist with a strong software engineering mindset who enjoys transforming innovative ideas into scalable applications. You’ll work with cutting-edge GraphRAG technology, Large Language Models (LLMs), and graph-based analytics to help deliver impactful AI solutions within a highly collaborative environment., * Bachelor’s or Master’s degree in Data Science, Applied Mathematics, Computer Science, IT, or a related discipline.
- 5+ years of experience as a Data Scientist with a strong focus on software engineering and production-grade development.
- Strong expertise in Python, object-oriented programming, Git, Databricks, PySpark, and Microsoft Azure.
- Solid understanding of statistical modelling, machine learning, and experience building reusable, scalable software solutions.
- Experience with GraphRAG, Knowledge Graphs, semantics, ontologies, or MLOps/DevOps is highly desirable.
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlistsVideos
See allRelated articles
See all
Data Engineer Salary UK
What Are Large Language Models?
How to Become an AI Engineer
Dev Digest 121 - AI goes offline