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Business Banking Data Scientist

ING Bank -
Bruxelles

Soumettre votre candidature

Détails de l'emploi

Il y a 3 heures

Qualifications

Informatique
Doctorat
Spark
Git
Google Cloud Platform
Master
SQL
Machine learning
IT
Data science
Intelligence artificielle
Compétences en communication
Python

Description complète du poste

REQ-10115402
17/06/2026
Data Science
Brussels, Belgium
ING Bank

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A day in the life of a Data Scientist III:

The Data Scientist will closely monitor and contribute to the development and execution of a key project in collaboration with external consultants, ensuring sufficient knowledge transfer and readiness to assume full ownership upon project delivery completion.
Trying different approaches until you succeed if the problem is hard to crack or a technical solution hard to introduce.
Making original solutions work in real-life by looking at things from a different perspective. Next, to being creative, you are also persistent.
Working in cross-functional teams with ambitious goals, asking fellow team members for assistance, but also helping them out by sharing your knowledge and capabilities.
Collaborating with many different parties throughout our organization enabled by your solid communication skills.
Mobilizing people to capture the tremendous value that Data Science brings to customers of ING via your enthusiasm and passion that are contagious,

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.

Machine learning, AI & data science knowledge to be applied on impactful projects.
You have at least 5 years of relevant applied experience
MSc or Ph.D. with excellent academic results in the field of Computer Science, Machine Learning, Mathematics, Statistics, or other quantitative fields
Analytical and content strength (in DS work field): sees which DS techniques apply to the business problem at hand, able to structure the approach and a good programmer.
Technical efficiency to create production ready models and roll them out.
Knowledge of Python, Spark, SQL; GCP & other cloud providers, GIT, ML algorithms, Model lifecycle.
Stakeholder management and strong communication skills.
Financial and banking knowledge as well as how it translates to analytic

The team:

An informal, dynamic environment with innovative colleagues supporting your endeavours.

We work in a progressive and agile way of working, where new ideas are valued ahead of

convention. The team is composed of Data Analysts that has to be supported by a Data Scientist (to be hired). You will be joining us on our project-based way of working where most tracks are worked on by a small, dedicated team of 2-3 people mixing the roles available in the team with extra support from subject matter experts specific to the track. This project-based way of working also means you will have the possibility to work on different topics ranging from pure marketing ‘propensity to buy’, to more foundational building blocks of the bank, such as classifying customer feedbacks all the way to customer facing features of the app like transaction categorization.

Would you like to get to know the department better? Book a coffee with the hiring manager, a team member, or the recruiter. In a second phase you could get to know the job content better via a My Job Your Job .

Save for Later

Questions? Just ask
Anna Biriukova

Save for Later

ING’s vision is to unlock our people’s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and/or interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here.

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computer vision emplois - brussels, bru

Business Banking Data Scientist

Researcher (Intern) | Policy | Brussels

Air Import Coordinator

Field Service Engineer X-ray

ADAS Performance & Validation Engineer Intern

PhD position on Product Identification and (Eco)labelling for Accessing Digital Product Passports

Technical Stream Lead - Core Banking Transformation - Financial Services

Microsoft M365 Copilot Solution and Presales Architect

Hardware Systems Engineer

SAP Technical Manager / Solutions Architect - Financial Services

Data Strategy and Governance Expert

Multi-skilled technician

AI Strategy Consultant

Service Delivery Manager

Solution Manager / Solution Architect Enterprise Risk Management Platforms - Financial Services

School Internship in Data Analytics in Deals M&A - Start now

Tech Lead Risk and Credit

PhD position in “Context‑aware and Data‑efficient Artificial Intelligence for Insect Monitoring in Agriculture”

Lead data architect / crew manager

Data Science Manager

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : computer vision (brussels, bru)

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computer vision emplois - brussels, bru

Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : computer vision (brussels, bru)

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Questions? Just ask Anna Biriukova

Questions? Just ask
Anna Biriukova