Job description
Job Information
Competence
Level of Experience
Industry
Remote Job
Job Description
This is a remote position.
What you will be working on
- Develop an expertise in applying machine learning techniques for outlier and fraud detection, representation learning, entity resolution, and network & graph applications.
- Adopt best practices and quality standards for developing & deploying fit-for-purpose model pipelines, addressing the requirements of the ING model governance.
- Be an effective member of a model development & implementation squad, challenge the status quo and build what matters.
- Actively learn about our domain, reach out to our stakeholders, and tell captivating stories with our data to create a journey that makes our bank and our society safer.
What you offer us
- You have at least 5 years of (global) work experience in the Data Science space (methods, technology, data) including statistical modelling and machine learning experience to solve business questions and/or develop (innovative) data driven products.
- Python – advanced programmer.
- Machine Learning: modeling such as Classification, Regression, Clustering, Unsupervised methods, Text Mining. excellent understanding of Random Forests, Gradient Boosting, Neural Networks, Logistic Regression, SVM, KNN, K-Means, etc. Parametric and non-parametric statistics.
Nice to have
- Spark is a plus.
- Experience in applying data science to prevent and detect financial crimes (e.g. internal/external fraud, money laundering, terrorism financing, tax evasion,) is a strong advantage.
What we offer you
- Flexible working environment
- Learning budget and platforms
- Wide variety of projects you could be part of
- Medical subscription
- HR representative to guide you in your professional career development
- Flexible benefits platform
- Bookster
Our recruitment process
- HR Discussion
- Technical interview
- Offer
Meet us!
- All applications are strictly confidential. We will not disclose any private information without having your approval.