Experian is a integral 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 .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.ResponsibilitiesData Processing: Implementing processes to clean, transform, and organize raw data for analysisOptimization: Enhancing data delivery and automating manual processes to improve efficiencyData Analysis:



Analyzing large volumes of structured and unstructured data to identify trends and patternsData 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 accuracyMachine Learning: Developing machine learning models and predictive algorithms to solve business problemsProgramming Skills: Applying programming languages and domain‑specific tools for analysisCommunication: Communicate with client and/or other departments/divisions within Experian to help ensure accurate and timely implementation of project workSolving problems: Identify potential problems in the end‑to‑end process and take ownership for the resolutionQualifications2–3 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 plusKnowledge of R, SQL, and SQL Server is highly valued as an additional assetExperience with cloud‑based data platforms (e.G., Databricks, Cloudera, and Snowflake)Knowledge of Power BI for creating interactive dashboardsUnderstanding of statistical techniques which may be used to address client business issuesAn innovative and inquisitive mind, focused on addressing and solving data and analysis problemsFluency in written and spoken EnglishGood to have: Knowledge or hands‑on experience with Generative AI concepts, including LLMs, RAG, prompt engineering, and information retrieval.BenefitsGreat compensation package and bonus planCore benefits including Private Health Care and Experian wellness programFlexible schedule, hybrid model of teleworkingFlexible time off including volunteer time off, personal leaves and paid holidaysEqual OpportunityExperian is proud to be an Equal Opportunity and Affir‑Mative 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 (Granada)
🏢 Experian Health
📍 Granada