Data Scientist MLCore Team – Data Science & BI (Openbank) We are the % digital bank of the Santander Group and we are currently undergoing a technological transformation and international expansion process.
We kicked off our relaunch plans and have been continuously expanding and growing ever since, especially when it comes to technology.
We work in a start-up format, using agile methodologies to take our customers' experience to the next level.
We launched in the Netherlands, Germany, and Portugal, with other countries currently in the pipeline.
Our culture sets us apart from the rest; social and diversity clubs are part of our essence and day-to-day culture.
Mission and Responsibilities:As a Data Scientist, your mission will be to provide the link between the pure commercial business needs with the analytical engines, creating the link between business areas and a team of data scientists.
In particular, Openbank's Data Science - MLCore is responsible for the ideation, development, maintenance, and monitoring of machine learning models applied to business units (mainly Risk & Cybersecurity).
It also develops methodological tools for the analysis and exploitation of information.
Within the Data Science - MLCore team, we go beyond optimizing the ROC-AUC curve; we expect you to have experience applying ML algorithms and engines to solve business problems and make data-driven decisions.
For this role, you need to have at least 3 years of proven experience in an industrial environment.
You think outside the box, continuously propose new points of improvement for models, and enjoy rigorous analysis.
You are a problem solver who needs to understand the problem to solve it.
You enjoy tackling new challenges and working with diverse data sources.
You have an interest in learning from other Data Science experts and using feedback to improve your analysis and understanding of strategies.
You can explain complex topics to a diverse range of audiences.
You feel comfortable with Scikit-learn and sometimes complement it with your own developments and functionalities.
You are also comfortable participating in the development of scalable solutions and productizing; however, we have an ML-Operations team that will support you in achieving technical excellence.
To be successful in the role you must have:Software Development: You know git and feel comfortable using it, developing your own code, testing it, and using it to produce actionable results.
You are able to produce functional code beyond Jupyter Notebooks.Programming skills for data analytics: Knowledge of Python and Spark.
Some experience in object-oriented programming is desirable.
You know the basics of SQL and are able to query essential information from multiple tables.Statistical Modelling and Machine Learning: You have some experience with supervised and unsupervised problems, particularly binary classification problems, and you know standard ML methods.
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