Used Tools & Technologies
AIRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 3
GCP @ 3
Machine Learning @ 3
Communication @ 3
Mentoring @ 3
Design Patterns @ 3
Agile @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
As an intern in the Retail Banking Analytics team you will work with engineers building a model factory that enables data scientists to build machine learning models on public cloud (GCP) to predict customer behaviours. The aim of this internship is to gain hands-on engineering experience in a fast-paced, interdisciplinary team, develop tooling and architecture used by data scientists, and learn to balance engineering excellence with tight deadlines and stakeholder needs.
Responsibilities
- Convert business requirements to high-quality Python code
- Collaborate with the team and senior engineers to design elegant and maintainable architectures
- Deploy machine learning models on Google Cloud Platform (GCP)
- Engineer new features using ibis
- Develop new machine learning pipelines
Requirements
- Currently pursuing a degree in Computer Science, Artificial Intelligence, or a related field
- Strong analytical and quantitative skills
- Basic knowledge of Python programming
- Knowledge of different software design patterns and when to use them
- Interest in Software and Machine Learning engineering
- Excellent communication skills and attention to detail
- Fast learner and ability to work in a fast-paced, team-oriented environment
What We Offer
- Hands-on experience in software and ML engineering within a global analytics department
- Exposure to senior professionals and industry leaders
- Hybrid working model to blend home working and office collaboration
- Your own work laptop
Rewards and benefits
- Internship allowance of 700 EUR based on a 36 hours work week
- Personal growth opportunities and mentoring from skilled professionals
- Informal working environment with innovative colleagues
Additional information
- As part of the Data & Analytics Engineering team you will collaborate in a cross-functional group responsible for end-to-end delivery and ownership, contributing in an Agile manner throughout the application lifecycle.
- During the duration of the internship at ING, it is mandatory to be enrolled at a Dutch university (or EU university for EU passport holders).
- To apply, upload your CV and motivation letter via the 'Apply' button.