At a Glance
- Tasks: Transform ideas into data-driven solutions using Generative AI and machine learning.
- Company: Join Experian, a global leader in data and technology with a people-first culture.
- Benefits: Enjoy hybrid working, competitive pay, generous leave, and wellness initiatives.
- Other info: Be part of an award-winning workplace that values diversity and innovation.
- Why this job: Make a real impact in AI engineering while growing your skills in a dynamic environment.
- Qualifications: Experience in data science, machine learning, and Python programming is essential.
The predicted salary is between 50000 - 60000 € per year.
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.
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'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.
Qualifications:
- 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 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.
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.
Data Scientist – GenAI & AI Engineering in London employer: Experian Health
Experian is an exceptional employer that prioritises employee growth and well-being, offering a hybrid working model and a comprehensive benefits package that includes generous annual leave, healthcare, and a discretionary bonus plan. Our award-winning culture fosters collaboration, diversity, and innovation, ensuring that every team member can thrive while contributing to meaningful projects in the dynamic field of data science and AI engineering. Join us in Dublin, where you will be part of a global team dedicated to redefining industries and empowering individuals to achieve their financial goals.
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, especially those at Experian. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data science and AI engineering abilities. This is your chance to demonstrate how you can turn fuzzy ideas into clear solutions.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by doing mock sessions with friends or mentors. Focus on explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical partners.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Experian team and contributing to their innovative projects.
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 experience in data science, machine learning, and Python programming, as these are key for us at Experian.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about Generative AI and how your background makes you a great fit. Be specific about your hands-on experience and your eagerness to grow into AI engineering.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've framed problems and designed experiments in past roles. We love candidates who can think critically and communicate their findings effectively.
Apply Through Our Website:We encourage you to apply directly through our careers site. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Experian Health
✨Know Your Data Science Fundamentals
Make sure you brush up on your data science basics, especially around machine learning and Python programming. Be ready to discuss how you've applied these skills in real-world scenarios, as this will show your hands-on experience and understanding of the role.
✨Prepare for Problem-Solving Questions
Expect to face questions that require you to frame problems and design experiments. Practice articulating your thought process clearly, as this will demonstrate your ability to turn fuzzy ideas into clear problem statements and success metrics.
✨Showcase Your Collaboration Skills
Since you'll be working with product managers and engineers, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you explained technical concepts to non-technical partners, as this is crucial for effective teamwork.
✨Emphasise Continuous Learning
Experian values a culture of learning, so be ready to discuss how you stay updated with the latest trends in AI and data science. Mention any recent projects or courses you've undertaken, and express your enthusiasm for knowledge sharing within the team.
