Data Scientist

Posted 12 Hours Ago
Be an Early Applicant
Milan, ITA
In-Office
37K-37K Annually
Junior
Fintech • Payments • Financial Services
The Role
Build predictive models and extract insights from large datasets; perform feature engineering, experimental design, and collaborate cross-functionally to deploy data-driven solutions into production and communicate findings to technical and non-technical stakeholders.
Summary Generated by Built In

Job Description:

Our 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.

Responsibilities:

As 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.

Requirements:

• 2+ years of professional experience in data science, analytics, or a related field

• Strong proficiency in Python/PySpark and experience working with relational databases using an SQL like language (preferably SAS)

• Strong proficiency with machine learning libraries and frameworks (e.g. scikit-learn, pandas, numpy, matplotlib)

• Strong data handling and feature engineering skills

• Strong communication skills to present insights to both technical and non-technical stakeholders

• Bachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Preferred Expertise:

• Active portfolio of data science projects on GitHub, Azure, or similar platforms

• Experience with Object-Oriented Programming principles and Git workflows

• Experience with cloud platforms like AWS, GCP or Azure

• Experience in the financial services or banking sector Skills

• Demonstrated solid data handling skills.

• Fluent written and spoken English

• Strong verbal and written communication skills

Contract offer:

Working conditions: Permanent employment contract

Working hours: Full time (37 hours per week)

Applicable Collective Labour Agreement: National Collective Labour Agreement for employees in the credit sector (NCLA)

Location: Milan

Annual base salary starting from: Euro 37.000€

Variable remuneration: 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)

Our compensation approach is built on objective, gender-neutral criteria aligned with the role’s core requirements. That said, we believe talent goes beyond any framework: your total reward package will be tailored to reflect your unique experience, skills, and potential, ensuring we fully recognize the value you bring.

The benefits of joining ING

In addition to being a part of a great team, working in a fun and innovative environment, we offer:

  • Flexible Smart Working

  • Competitive base salaries and performance-based bonuses

  • Meal vouchers and corporate restaurant and bar

  • Health insurance and Accident insurance

  • Pension fund and welfare plan

  • Diverse cultures & Innovative mindsets

  • International Environnent and Talent Program

  • Commitment to sustainability

  • Lots of training development opportunities to help you grow

  • Lots of moments dedicated to physical and mental well-being

  • A special day off when it is your birthday: we call it #doyourbirthday!

  • And of course, we can’t forget free water & coffee at the office!

About ING

ING 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.

Our 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.

Our Commitment

Diversity 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.

Job Application Safety Reminder ⚠️

We’re seeing an increase in fraudulent job offers. To protect yourself, please follow these key guidelines when applying for roles at ING:

· Apply only via official ING platforms: ING uses Workday as its internal recruitment system. Applications should be submitted only via our official career site.

· Check the sender’s email carefully: legitimate communication will always come from: @ing.com and/or @myworkday.com

· No payments or banking details will ever be requested. If someone asks for this information, it’s a scam.

If you suspect suspicious activity, report it immediately. Your safety matters to us.

Skills Required

  • 2+ years of professional experience in data science, analytics, or a related field
  • Strong proficiency in Python and PySpark
  • Experience working with relational databases using an SQL-like language (preferably SAS)
  • Strong proficiency with machine learning libraries and frameworks (scikit-learn, pandas, numpy, matplotlib)
  • Strong data handling and feature engineering skills
  • Strong communication skills to present insights to technical and non-technical stakeholders
  • Bachelor's or master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
  • Active portfolio of data science projects on GitHub, Azure, or similar platforms
  • Experience with Object-Oriented Programming principles and Git workflows
  • Experience with cloud platforms like AWS, GCP or Azure
  • Experience in the financial services or banking sector
  • Fluent written and spoken English
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The Company
HQ: Amsterdam
65,710 Employees

What We Do

ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers

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