Data Scientist

ING

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profile Job Location:

milan - Italy

profile Monthly Salary: Not Disclosed
Posted on: 16 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Description

Our team leverages advancedanalytics 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 lifecyclefrom exploratory analysis to final implementation. Partnering with stakeholders across all banks departments including risk retail and corporate banking we transform data into strategic advantage.

The Role

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.

Core 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 (preferablySAS)
  • 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
  • Bachelors or masters 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

Key Attributes

  • Self-driven with the ability to figure out solutions by him or herself
  • Ability to work collaboratively in a team environment
  • Must possess an energetic self-motivated work ethic
  • Effectively communicate with many levels
  • Proven to perform under pressure
  • High ethical standards honesty integrity

Location:Milan (hybrid)

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 peoples potential. We dont 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.

#doyourthing is our brand direction with us each and every day. It is how we articulate our purpose and our promise to make banking frictionless to the world. do your thing is about people being free to live the life they want to live knowing that they will make their world a little better for it.

Do you think you are a step ahead Apply now!

The benefits of joining ING

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

  • Super flexible smart working
  • Competitive base salaries and performance based bonuses
  • Diverse cultures & Innovative mindsets
  • International Environment
  • 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 cant forget: free water & coffee at the office!

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

Were 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 usesWorkdayas its internal recruitment system. Applications should be submitted only via our official career site.
  • Check the senders email carefully: legitimate communication will always come from: @ and/or @
  • No payments or banking details will ever be requested. If someone asks for this information its a scam.

Required Experience:

IC

Job DescriptionOur team leverages advancedanalytics 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 lifecyclefrom exploratory analysis to...
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Key Skills

  • Laboratory Experience
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  • Machine Learning
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  • Research Experience
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  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

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ING Global Career Opportunities - Welcome to 'careers at ING'. We give you the space to develop yourself as an intern, trainee and professional. Check out our opportunities. Jump on!

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