Data Scientist
2 weken geleden
Your job
Support in setting up the data science capability within Financing Solutions. This gives you the opportunity to really make your mark and have a high impact from the start Work on multiple data projects together with data analysts and scientists in the team Support other data professionals in the team with their projects and to improve their skills Perform data analysis and experiments, make data available for end-users and create advanced data solutions in the Credits Data Domain Responsibility in setting up the Data Science / Advanced Analytics life cycle: Ideation, data preparation, feature engineering, modelling, monitoring etc. Transform (internal and external) raw data into working data solutions in close collaboration with the data/machine learning engineering team Work closely with business partners to ensure that the teams are able to leverage data across Financing SolutionsWorking environment
The new Credit Analytics team has just been setup and currently consists of 8 young and eager data professionals, all with a Beta background. The current focus of the team is to build-up the data analytics capability but we also have an ambition to start executing opportunities using data science, this is where you come in.
The new Credit Analytics team is part of a broader department named Credit & Collateral Data Management and Strategy which is responsible for data quality, data distribution and data analytics within Financing Solutions. We collaborate a lot and help each other with data challenges, we all are eager to learn and develop ourselves. We work hybrid, team members work at least two days per week from our headquarters in Amsterdam. As you will start in a new data team, there are possibilities to explore and develop yourself in other areas like data consultancy, data analytics and engineering but also to develop yourself as a senior data scienctist.
Your profile
A master's degree in econometrics, mathematics, business analytics, data science, data engineering or a (STEM) related field A minimum of 3-5 years of relevant working experience in a highly analytical environment, which can include data analytics, data engineering or data science Knowledge of major programming languages, preferably Python, PySpark and SQL Knowledge of Machine Learning algorithms / packages (such as Scikit-learn, XGBoost etc.) and model explainability ( SHAP) ML engineering experience with implementing advanced analytics robustly in various target (cloud) systems. Experience with Cloud tools (Azure Databricks and Azure Data Lake Storage) is preferred.The successful candidate should also have the ability to
Work independently in a complex, dynamic environment and be able to successfully complete data projects including stakeholder management Collaborate with other data professionals to solve complex business problems using data See opportunities for learning and improvement (inside and outside the department) Communicate efficiently with a wide variety of technical and non-technical business partners Consider the risks and required processes in working with customer dataWe are offering
Competitive salary, based on 36 hour work week. Grading depends on knowledge and experience An additional benefit budget of 11%, with which you can buy flexible employment conditions A personal development budget of € 1,000 per year Freedom to get the most out of your talents, flexible working and room for development An annual public transport season ticket, with which you can travel unlimited within the Netherlands A great pension scheme-
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