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. Learn more at experianplc.com.
Job DescriptionInternal Grade D/EB8
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
- 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.
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 culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
#LI-Hybrid #LI-ST1
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
Skills Required
- Experience working as a data scientist or in a similar role
- Applied machine learning experience
- Python programming
- Comfortable working with incomplete information and experimentation
- Keen to develop skills in AI engineering and product-focused delivery
- Ability to join up product, data, and engineering context to improve decisions
- Exposure to version control, testing, or object-oriented programming
- Understanding of deploying or running AI systems via cloud services or containerised environments
- Experience explaining technical concepts to non-technical partners
Experian Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Experian and has not been reviewed or approved by Experian.
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Healthcare Strength — Medical and dental coverage is described as strong, with expanded mental health resources and telemedicine options. Coverage includes inclusive services such as gender transition and fertility support.
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Leave & Time Off Breadth — Time-off offerings are generous, including substantial PTO/vacation, paid holidays, and paid volunteer days with options to purchase additional leave. Parental leave is available for birth and non-birth parents alongside flexible working arrangements that support work-life balance.
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Retirement Support — Retirement programs include a 401(k) with company matching and contributory pension schemes in some regions. These elements complement base pay and bonuses to form a competitive total rewards package.
Experian Insights
What We Do
Experian unlocks the power of data to create opportunities for consumers, businesses and society. During life’s big moments – from buying a home or car, to sending a child to college, to growing a business exponentially by connecting it with new customers – we empower consumers and our clients to manage data with confidence so they can maximize every opportunity. We gather, analyse and process data in ways others can’t. We help individuals take financial control and access financial services, businesses make smarter decision and thrive, lenders lend more responsibly, and organizations prevent identity fraud and crime. For more than 125 years, we’ve helped consumers and clients prosper, and economies and communities flourish – and we’re not done. Our 20,600 people in 43 countries believe the possibilities for you, and our world, are growing. We’re investing in new technologies, talented people and innovation so we can help create a better tomorrow. About Experian: Bringing data to life requires creativity, passion, flexibility and expertise. We want you to share in our success. That's why we offer rewards that recognise great performance. Working in a culture of collaboration, achievement and respect we will give you the support and encouragement you need to develop your skills and talents and progress your career. Everyday our people bring enthusiasm, innovation and inspiration to work and if this sounds like you connect with us at Experian.
