Medior Data Scientist

Key Skills

Dataproc, Git, Google BigQuery, Java Programming, Jupyter Notebook, NumPy, Oracle, Pandas, PyCharm, PySpark, Python Programming, Scikit-learn, SciPy, Shell Scripting language, SQL, XGBoost

Job Description

We are looking for an experienced data scientist who wants to join ING and contribute to creating solutions in the area of payment problems. This includes developing models to identify customers with potential financial problems at an early stage. You will also develop models that both improve the effectiveness of our Collections NL processes and increase the ease with which customers can solve their problems. The goal is to have these customers recover sustainably. Prevention, increasing the effectiveness of treatment processes and offering smart, convenient and personalized solutions for customers are important themes.

Tribe Collections NL

You will work in the Arrears Data Science Squad (ADSS) where making an impact, continuous learning and having fun are key. Our main work is developing (new) models for both prevention and effective, tailored, and personalized treatment. Machine learning is at the core of solving our various business problems. Some examples are determining to which customers we should offer (more) self-service means, what is the optimal/best mean of communication for each customer, identifying inbound call reasons, etc. In addition to developing new models, we want to keep improving the current models in production step by step.

We have developed our Python package collections-ml. This is a kind of model factory that allows us to generate features and develop models relatively quickly. You will also be involved in adding new functionality, testing and further professionalizing our package.

You will also frequently coordinate with data engineers, machine learning engineers, data analysts and customer journey experts in the model development and deployment process

Role and responsibilities

We have developed our Python package collections NL-ml. This is a kind of model factory that allows us to generate features and develop models relatively quickly. You will also be involved in adding new functionality, testing and further professionalizing our package.

You will also frequently coordinate with data engineers, machine learning engineers, data analysts and customer journey experts to enable the bringing of models into production.in the model development and deployment process.

How to succeed

We hire smart people like you for your potential. Our biggest expectation is that you’ll stay curious. Keep learning. Take on responsibility. In return, we’ll back you to develop into an even more awesome version of yourself.

• 3-5 years of relevant and demonstrable experience in developing and bringing models to production
• MSc or Ph.D. with excellent academic results in the field of Computer Science, Machine Learning, Mathematics, Statistics or other quantitative fields
• Good knowledge of Machine Learning: Classification, Regression, Clustering and Text Mining. You have an excellent understanding of Random Forests, Decision Trees, Logistic Regression, KNN, K-means, PCA, etc. Thus, you can explain which techniques best fit the business problem and how model output can be used.
• Experience in using various Python packages: Pandas, NumPy, SciPy, Scikit-learn, XGBoost, LightGBM, Matplotlib, Seaborn, etc.
• Other languages and tooling: SQL, PySpark, Git, shell scripting, PyCharm, Jupyter Notebook (or similar IDE)
• Experience in Google Cloud Platform (Dataproc, BigQuery) is a plus.
• Software engineering experience is a plus
• Experience with agile/scrum in the context of data science projects would be great
• You are driven to continuously develop and/or broaden your own expertise, both technically and personally
• You take initiative, ownership and step up to people when they have information you need.

What can we offer you?

A full-time position in a challenging environment where you will use the latest technology to make an impact on the operations of a dynamic department within the ING COO domain. Working in a modern Agile organization with very nice colleagues and the best place to develop both your technical and personal competencies.

To give you an idea of the benefits of working at ING:

• High level of autonomy and very good development opportunities
• A challenging international environment
• A competitive salary alligned with your profile and experience
• The location for this job is Amsterdam (Haarlerbergpark)
• We work in 'hybrid mode' which means we work from home as well as from the office
• 13th month's salary, 8% vacation pay, 3,5% Individual Savings Contribution (BIS)
• Excellent pension scheme
• Personal growth and challenging work