Time since we first saw it
Day 20
Similar jobs usually come down between day 7 and day 55.
From 10,000 similar postings that came down. Coming down is not always a hire.
Data Scientist
Madrid, Spain
Live, first seen by us 20 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
#LI-Hybrid This is a hybrid remote/in-office role. Experian Careers - Creating a better tomorrow together
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign and deliver scalable analytics and AI solutions for clients
Develop new data science product prototypes
Evaluate and acquire new data assets
Apply machine learning and text mining to extract value from data
Document and present modeling processes and outcomes
From the employer’s posting
Design and deliver scalable analytics and AI solutions for internal and external clients
Develop new product prototypes
Evaluate and acquire new data assets
Apply machine learning, data mining, and text mining techniques to extract value from data
Document and present modeling processes and outcomes
What you’ll bring
All qualificationsCore experience
- 3+ years defining scope and delivering analytics projects
- Proficiency in Python
- Familiarity with regression, XGBoost, neural networks, SVM and ensemble methods
- Expertise in advanced algorithms for practical business problems
- Understanding of data structures in marketing, risk and customer management
Qualification wording
3+ years of experience in defining scope and delivering customized analytics projects
Proficiency in Python
Familiarity with regression models, XGBoost, neural networks, SVM, and ensemble methods
Expertise in advanced algorithms to solve practical business problems
Understanding of data structures and their applications in marketing, risk, and customer management
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 15, 202620 days ago
- Recorded sightings
- 136
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Experian is hiring
25 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Takes jobs down quickly
- 36% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- XGBoost
Where the posting names them
- Advocate for analytics through publications and presentations - Proficiency in Python - Understanding of data structures and their applications in marketing, risk, and customer management
- Programming - Python Additional Information
- 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
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Has Experian posted this job before?
Yes. We’ve followed 4 other Data Scientist jobs there since June 2026. 4 came down, usually after about 25 days.
If this one keeps the same pace, it may come down around November 9.
Large employers often post one title for several teams, so these can be separate openings.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
Job Description
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
Qualifications
Statistics
Computer Science
Machine Learning
AI
Programming
Python
Additional Information
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
Company Description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Madrid, Spain
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
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.