Company Overview Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help redefine lending practices, uncover and prevent fraud, simplify health care, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We operate across a range of markets, including financial services, health care, automotive, agribusiness, insurance and many more industry segments.

Technical, analytical, and communication skills are needed to interpret data and influence decision‐making. Implement processes to clean, transform, and organize raw data for analysis. Enhance data delivery and automate manual processes to improve efficiency.

Analyze large volumes of structured and unstructured data to identify trends and patterns. Use data/analytical platforms such as Databricks, Cloudera, Snowflake. Develop machine learning models and predictive algorithms to solve business problems.

Utilize programming languages and domain‐specific tools for analysis. Communicate with clients and other departments/divisions within Experian to ensure accurate and timely implementation of project work.



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. ~ Strong proficiency in Python for data analysis, advanced analytics and automation, including Pandas, NumPy, and machine‐learning packages. PySpark, TensorFlow or PyTorch is a plus. ~ Knowledge of R, SQL, and SQL Server is highly valued as an additional asset. ~ Experience with cloud‐based data platforms (e.Databricks, Cloudera, Snowflake). ~ Knowledge of Power BI for creating interactive dashboards. ~ An innovative and inquisitive mindset focused on addressing and solving data and analysis problems. ~ Fluency in written and spoken English.

Flexible schedule, hybrid model of teleworking. Adaptable time off including volunteer time off, personal leaves and paid holidays. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

📌 Data scientist (marketing) (Andalucía)
🏢 Experian
📍 Andalucía