Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform ideas into data-driven solutions and build innovative GenAI systems.
- Company: Join Experian, a global leader in data and technology.
- Benefits: Enjoy hybrid working, competitive pay, healthcare, and generous leave.
- Why this job: Dive into AI engineering and make a measurable impact with cutting-edge tech.
- Qualifications: Experience in data science, machine learning, and Python programming required.
- Other info: Collaborative environment with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
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 role for a data scientist who enjoys hands-on work and wants to grow into AI engineering. You will 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.
About Experian:
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.
We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland.
Experience and Skills:
- 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 are curious, reflective, and thoughtful in your approach, comfortable challenging your own assumptions and engaging constructively with the ideas and work of others.
- 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 working with product managers, engineers, or other team members in a collaborative setting.
- Experience explaining technical concepts or analysis to non-technical partners.
Additional Information:
Benefits package includes:
- Hybrid working - 2 days in the office.
- Great compensation package and discretionary bonus plan.
- Core benefits include pension, Bupa healthcare, sharesave scheme and more!
- 25 days annual leave.
Data Scientist – GenAI & AI Engineering in London employer: Experian Group
Contact Detail:
Experian Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – GenAI & AI Engineering in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those involving GenAI. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format and types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Experian.
We think you need these skills to ace Data Scientist – GenAI & AI Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Scientist role. Highlight your hands-on experience with machine learning and Python, and don’t forget to mention any projects where you’ve tackled fuzzy problems or designed experiments.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the GenAI CoE at Experian. Share specific examples of how you've used data science to drive measurable impact and how you see yourself growing into AI engineering.
Showcase Your Problem-Solving Skills: In your application, emphasise your ability to work with incomplete information and your approach to experimentation. We love candidates who can think critically and creatively about problem statements and success metrics.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Experian Group
✨Know Your Stuff
Make sure you brush up on your data science fundamentals, especially around Generative AI and machine learning. Be ready to discuss your past projects and how you've applied these concepts in real-world scenarios.
✨Experimentation Mindset
Since the role involves designing experiments and evaluating results, think of examples where you've framed problems and defined success metrics. Be prepared to explain your thought process and how you approached experimentation.
✨Communicate Clearly
You’ll need to share insights with various teams, so practice explaining complex technical concepts in simple terms. Think about how you can convey trade-offs and limitations effectively to non-technical partners.
✨Show Your Curiosity
Demonstrate your eagerness to learn and grow in AI engineering. Share instances where you've challenged your own assumptions or engaged with others' ideas. This shows you're reflective and open-minded, which is key for collaboration.
