Data Scientist
Experian is hiring a Data Scientist in Madrid, Spain. Level rates it ; you can apply on Level.
AI in this role
Data scientist responsible for designing, developing, and delivering advanced data science, machine learning, and Generative AI solutions.
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.
We are seeking a Data Scientist to play a pivotal role in our growing EMAP Data Science team. This position is ideal for an accomplished professional passionate about advanced analytics, innovation, and delivering impactful solutions to clients.
Role Purpose
The primary goal of this role is to design, develop, and deliver innovative data science solutions that address complex business challenges and create measurable value for our clients. The successful candidate will combine expertise in programming, data engineering, statistical modelling, machine learning, and Generative AI to transform data into actionable insights and scalable solutions.
Working closely with clients and internal stakeholders, you will identify opportunities, strengthen strategic relationships, and develop analytical products and prototypes that support data-driven decision making and business growth. You will leverage large and diverse datasets, anticipate challenges, and deliver high-quality solutions that generate tangible impact.
Responsibilities
Evaluate and acquire new data assets
Develop new product prototypes
Provide sales support and consultancy
Analyze, and document large datasets
Apply machine learning, data mining, and text mining techniques to extract value from data
Validate model and score performance
Document and present modeling processes and outcomes
Design analytical solutions for internal and external clients to address business problems. Design and deliver scalable analytics and AI solutions for internal and external clients to solve complex business challenges.
Make independent decisions to develop new approaches and resolve uncertainty in complex scenarios
Establish best practices for applying Experian and client data to create insights
Define business assumptions for relevant solutions
Create materials for knowledge sharing and roundtable discussions
Lead programs to enhance client analytical solutions, data quality, model performance, and project timelines
Guide team efforts to identify solutions
Share expertise and improve departmental contributions
Provide mentoring within project teams
Advocate for analytics through publications and presentations
Proficiency in Python
Understanding of data structures and their applications in marketing, risk, and customer management
Familiarity with regression models, XGBoost, neural networks, SVM, and ensemble methods
3+ years of experience in defining scope and delivering customized analytics projects
Expertise in advanced algorithms to solve practical business problems
Statistics
Computer Science
Machine Learning
AI
Programming
Python
You will get:
Personal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.
Work environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.
Social benefit package including food vouchers, health insurance, monthly flex allowance and internet coverage, Sharesave plan, Employee assistance program, and many other benefits!
Opportunity for Flexible working hours and Home Office.
Experian is an Equal opportunity employer. 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
This is a hybrid remote/in-office role.
Experian Careers - Creating a better tomorrow together
Find out what its like to work for Experian by clicking here
How we rate this
Data Scientist at Experian rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data scientist job
- $170k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
- Tell me about a project where text mining was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
- Walk me through how you've used XGBoost in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Science, Statistical Modeling, Text Mining, Analytics, and XGBoost. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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