Software and Machine Learning Engineering Internship at ING Services Limited

Amsterdam, North Holland, Netherlands -

Full Time

Start Date

Immediate

Expiry Date

29 Sep, 26

Salary

700.0

Posted On

01 Jul, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, GCP, Software Design Patterns, Ibis, Analytical Skills, Quantitative Skills, Communication Skills, Agile Methodology

Industry

Banking

Description

The Role As an intern in Retail Banking Analytics team, you will be working with engineers building a model factory that enables data scientists 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 that will be used by data scientists, and learning to balance engineering excellence with tight deadlines and the needs of stakeholders. Key Responsibilities Convert business requirements to high quality python code Collaborate with the team on designing elegant and maintainable architectures with senior engineers Deploy machine learning models on GCP Engineer new features using ibis Develop new machine learning pipelines 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. To take on this challenging and rewarding opportunity, you’ll need: 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. Being a fast learner Ability to work in a fast-paced, team-oriented environment. What We Offer A dynamic and international environment. As part of the Data & Analytics Engineering team, you will collaborate within a cross-functional group responsible for end-to-end delivery and ownership, contributing in an Agile manner throughout the application lifecycle. Hands-on experience in software & ML engineering in our global analytics department. Exposure to senior professionals and industry leaders. Rewards and benefits This is a great opportunity to train with highly skilled people who are experts in their field. You’ll do a lot and learn a lot – not only about your specialist area and the bank, but also about yourself and whether this type of environment is right for you. You’ll also benefit from: Internship allowance of 700 EUR based on 36 hours work week Your own work laptop Hybrid working to blend home working for focus and office working for collaboration and co-creation Personal growth and challenging work with endless possibilities An informal working environment with innovative colleagues During the duration of your internship at ING, it is mandatory to be enrolled at a Dutch university (or EU-university for EU passport holders). Want to apply directly? Please upload your CV and motivation letter by clicking the ‘Apply’ button. About our internships Every year, more than 350 students join our internship program. While there are no guarantees about your future, many of our former interns move into a permanent role or onto our International Talent Programme (traineeship). Whatever happens, an internship at ING is the ideal opportunity to meet a wide variety of people, to build up your own network, and to learn about many different aspects of banking – put simply, it’s a great start to your career. We’re a global bank with a strong European base, and our more than 60,000 colleagues serve around 38 million customers and corporate clients in over 40 countries. Joining ING means working with friendly and collaborative people towards making a positive impact on people and planet. We believe in empowering the people around us and our customers to stay a step ahead. Working here means having the autonomy to drive progress, helping to create superior customer value and contributing to our ambition of putting sustainability at the heart of everything we do. Here, we’re more than just a workplace – we’re a community of innovators, problem-solvers, and forward-thinkers, dedicated to making a real impact. Whether you’re just starting your career or seeking the next big challenge, we have opportunities that will inspire and push you to grow. Your future at ING starts with one application. Ready to join? We’ve got plenty of opportunities to match your skills and aspirations! Use the filters below the search bar – like location and job type – to help you find the perfect fit. Start exploring now and discover where your next career move could take you!

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Responsibilities

Develop and deploy machine learning models and pipelines on GCP to predict customer behaviors. Collaborate with senior engineers to design maintainable architectures and convert business requirements into high-quality Python code.