Senior Data Scientist

Main responsibilities:

• Data Processing: Implementing processes to clean, transform, and organize raw data for analysis

• Optimization: Enhancing data delivery and automating manual processes to improve efficiency

• Data Analysis: Analyzing large volumes of structured and unstructured data to identify trends and patterns

• Data Visualization: Creating visual reports to clarify business pain points.

• Big data platforms: Using data/analytical platforms like Databricks, Cloudera, ...

• Statistical Techniques: Using statistical techniques to validate findings and ensure accuracy

• Machine Learning: Developing machine learning models and predictive algorithms to solve business problems

• Programming Skills: Applying programming languages and domain-specific tools for analysis

• Communication: Communicate with client and/or other departments/divisions within Experian to help ensure accurate and timely implementation of project work

• Solving problems: Identify potential problems in the end to end process and take ownership for the resolution

Qualifications

• 5 years of experience of statistical/analytical project work and/or work in the Financial services or Telco's sectors

• Degree or equivalent in a related field such as computer science, data science, statistics, mathematics, or information technology, physics,...

• Highly PC literate with thorough knowledge of statistical:

• Strong proficiency in Python for data analysis, advanced analytics and automation: Python with Pandas, Numpy and Machine Learning Packages and IT packages. PySpark is an a plus

• Knowledge of R, SQL is highly valued as an additional asset

• Experience with cloud-based data platforms (e.g., Databricks, Cloudera, and Snowflake)

• knowledge of Power BI for creating interactive dashboards

• Understanding of statistical techniques which may be used to address client business issues

• An innovative and inquisitive mind, focused on addressing and solving data and analysis problems

• Fluency in written and spoken English

Good to have

• Knowledge or hands-on experience with Generative AI concepts, including LLMs, RAG, prompt engineering, and information retrieval.

• Familiarity with credit-related topics (e.g., issuing, monitoring, Bureau data) and regulatory analytics frameworks ("Basel", IFRS 9).

Benefits/Perks:

• Great compensation package and bonus plan
• Core benefits including Private Health Care and Experian wellness program
• Flexible schedule, hybrid model of teleworking
• Flexible time off including volunteer time off, personal leaves and paid holidays

Additional Information

Proud to be a Worlds Best Workplace 2025

Our uniqueness is that we celebrate yours. Experian's culture and people are main differentiators. We take our people agenda very seriously and focus on what truly matters; DEI, work/life balance, development, authenticity, engagement, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; Great Place To Work™ in 24 countries, FORTUNE Best Companies to work and Glassdoor Best Places to Work (globally 4.4 Stars) 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 a critical 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

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

Client-provided location(s): Madrid, Spain

Job ID: Experian-744000123471729

Employment Type: FULL_TIME

Posted: 2026-04-29T18:44:21