Descripción del trabajo Job DescriptionYou will be part of a very dynamic and fast-growing Analytics team at Experian Spain, and you will develop analytical solutions to the benefit of our clients and their customers. You will collect and analyze large datasets to uncover insights and create solutions that support organizational goals, in the field of credit life cycle, risk management, fraud modelling or marketing. Technical, analytical, and communication skills are needed to interpret data and influence decision-making.
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
2–3 years of experience in statistical or analytical project work, and/or experience in the financial services, telecommunications, retail, technology, or consulting 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. Py Spark, Tensor Flow or Py Torch is an a plus
Knowledge of R, SQL, and SQL Server 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.
Benefits/Perks
Great compensation package and bonus plan
Core benefits including Private Health Care and Experian wellness program
Flexible schedule, hybrid model of teleworking
Adaptable time off including volunteer time off, personal leaves and paid holidays
Experian is proud to be an Equal Opportunity and Affrmeiative 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.
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📌 Data Scientist (Madrid)
🏢 Experian
📍 Madrid