At ING we are looking for Senior Data Scientist Your role and work environment:
We are looking for a talented and enthusiastic Senior Data Scientist to join our Advanced Analytics Team of Growth
The responsibility of this team is to develop all type of AI models and analytical products in the field of Machine Learning and Big Data context. Our way of working mirrors our eagerness to innovate and the agile methodologies are on our daily basis
As a data scientist you will:
Proactively take end-to-end ownership of the design and delivery of ML products across multiple departments within the bank. This includes a broad range of AI/ML solutions such as credit risk and decision-making models, churn prediction, recommendation systems, NLP solutions, income and expense estimation, data categorisation, clustering and segmentation, pricing models, OCR, and more.
You will co-create and evaluate business solutions using the best predictive approaches, working in cross-functional and international teams made up of business stakeholders, data analysts, data scientists and engineers.




You will also act as project manager making sure each solution meets business requirements, delivers tangible value to our clients, and adheres to our high standards of coding quality, robustness and engineering excellence.
These are some of the qualities that we value the most for this role. We are seeking a passionate and highly skilled Data Scientist used to work near to business, understand the challenges and who proposes solutions proactively, defining the appropriate analytical solution for each challenge.
Holds a degree in Mathematics, Statistics, Computer Science, or a related field.
Proven experience in data analysis, data visualisation and the development of predictive models, particularly supervised learning models.
Strong command of SQL and Python, along with experience in distributed computing frameworks such as Spark, Hadoop, Hive, and similar technologies, as well as modern MLlibraries.

📌 Data Science Data Science Data Scientist (Madrid)
🏢 ING España&Portugal
📍 Madrid