Data Scientist – GenAI & AI Engineering
The Generative AI Centre of Expertise (GenAI CoE) at Experian helps teams across Experian's UK business. It improves products using Generative AI, machine learning, and automation. The centre has a focus on responsible, measurable impact.
Who is a GenAI CoE Data Scientist?
This is a mid-level, hybrid role for a data scientist who enjoys hands-on work and wants to grow into AI engineering. You'll report into the Head of Machine Learning and work across two connected areas:
- Experimentation and evaluation (data science): framing problems, designing experiments, defining success metrics, analysing results, and understanding model/system behaviour in product contexts
- AI engineering: build GenAI systems (prototypes through to production-ready components), supported by experienced colleagues
A big part of the job is choosing the right approach — when GenAI is valuable, and when simpler analytics or ML is the better answer.
What you'll do
- You will work with product, engineering, and business teams to turn fuzzy ideas into clear problem statements, assumptions, and success metrics
- Design and run experiments to evaluate GenAI systems, including baseline comparisons, error analysis, and understanding failure modes
- Help refine GenAI solutions, using modern development practices and AI-assisted coding tools to iterate quickly
- Communicate results, including trade-offs, limitations, and recommendations for what to do next
- Share insights with the team and spend ~10% of your time on learning and knowledge sharing