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 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
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
Internal Grade D/EB8
Benefits package includes:
- Hybrid working - 40% office based
- Great compensation package and discretionary bonus plan
- Core benefits include pension, bupa healthcare, sharesave scheme and more!
- 25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
#LI-Hybrid #LI-ST1
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here