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# Data Scientist - GenAI & AI Engineering-4 month secondment

- **Company:** Experian Information Solutions, Inc.
- **Location:** London, United Kingdom
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Cloud Services, Software Engineering, Generative AI, Software Version Control
- **Published:** November 9, 2026
- **Apply:** https://jobs.smartrecruiters.com/Experian/744000160591425-data-scientist-genai-ai-engineering-4-month-secondment

## About the Role

You have experience working as a data scientist (or in a similar role), applied machine learning, and Python programming.

 * You are comfortable working with incomplete information, and enjoy figuring things out through exploration and experimentation.
 * You are keen to develop broader skills across AI engineering and product-focused delivery.
 * You think beyond your scope: you join up product, data, and engineering context to spot issues early and improve decisions.

It would be great if you also have

 * Exposure to software engineering practices such as version control, testing, or object-oriented programming.
 * You will understand how companies deploy or run AI systems in practice through cloud services or containerised environments.
 * Experience explaining technical concepts or analysis to non-technical partners

## Description

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., This is a mid-level, hybrid secondment 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
 * You will 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