Data Scientist
Pubblicato il 28-08-2026 - ING ITALIA in Milano
ppOur team leverages advanced analytics, from machine learning and quantitative algorithms to data mining and dynamic visualizations, to uncover actionable insights and tackle the most complex challenges across the organization.
We own the entire model lifecycle, from exploratory analysis to final implementation.
Partnering with stakeholders across all bank's departments, including risk, retail, and corporate banking, we transform data into strategic advantage.
/p h3bResponsibilities: /b /h3 pAs a Data Scientist, you will be responsible for extracting insights from large datasets, developing predictive models, and creating data-driven solutions to support stakeholders' decisions and foster a more data-driven organization.
You will collaborate with cross-functional and cross-country teams to identify opportunities, design experiments, and communicate findings effectively.
Additionally, you will support the team in deploying your models into production, ensuring a seamless and effective implementation.
/p h3bRequirements: /b /h3 ul li2+ years of professional experience in data science, analytics, or a related field /li liStrong proficiency in Python/PySpark and experience working with relational databases using an SQL like language (preferably SAS) /li liStrong proficiency with machine learning libraries and frameworks (e.g. scikit-learn, pandas, numpy, matplotlib) /li liStrong data handling and feature engineering skills /li liStrong communication skills to present insights to both technical and non-technical stakeholders /li liBachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field /li /ul h3bPreferred Expertise: /b /h3 ul liActive portfolio of data science projects on GitHub, Azure, or similar platforms /li liExperience with Object-Oriented Programming principles and Git workflows /li liExperience with cloud platforms like AWS,
GCP or Azure /li liExperience in the financial services or banking sector /li liDemonstrated solid data handling skills /li liFluent written and spoken English /li liStrong verbal and written communication skills /li /ul h3bContract offer: /b /h3 pbWorking hours: /b Tempo pieno (37 hours per week) /p pbApplicable Collective Labour Agreement: /b National Collective Labour Agreement for employees in the credit sector (NCLA) /p pbAnnual base salary starting from: /b Euro 37,000€ /p pbVariable remuneration: /b in line with the applicable remuneration policies (with a target based on the role, outcomes linked to the Group, Business line/function, and individual performance) /p h3bThe benefits of joining ING: /b /h3 ul liFlexible Smart Working /li liCompetitive base salaries and performance-based bonuses /li liMeal vouchers and corporate restaurant and bar /li liHealth insurance and Accident insurance /li liPension fund and welfare plan /li liDiverse cultures Innovative mindsets /li liInternational Environnent and Talent Program /li liCommitment to sustainability /li liLots of training development opportunities to help you grow /li liLots of moments dedicated to physical and mental well-being /li liA special day off when it is your birthday: we call it #doyourbirthday!
/li liAnd of course, we can't forget free water coffee at the office!
/li /ul h3bAbout ING: /b /h3 pING offers many opportunities to build a diverse and rewarding career.
You will be joining an international innovative digital bank, the first in Italy to adopt a fully flexible smart working model, and you will be working in a stimulating environment where you can grow both as an individual and as a professional.
/p pOur purpose - empowering people to stay a step ahead in life and in business - represents our belief in people's potential.
We don't judge, coach or to tell people how to live their lives.
We empower people and businesses to realize their own vision for a better future.
/p h3bOur Commitment: /b /h3 pDiversity is a fundamental element of our corporate culture, and we are fully committed to creating a safe and inclusive environment, based on mutual respect and the value of diversity, offering equal job opportunities to all qualified candidates.
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