Data Scientist At ING Analytics

Details

The Data Scientist hired will be responsible for scoping, developing, validating, and documenting machine learning-based solutions which will form the core of products that INGA-WB develops for ING. This will also include carrying out world-class Research and Development where appropriate to arrive at a solution, as well as potentially guiding and mentoring more junior members and STAs or Masters students (though this person will not be a line manager).

Team

ING’s goal is to enable people to “do their thing” and empower them to stay a step ahead in life and in business. They are one of the largest banks in Europe and continuously evolve to become one of the most innovative companies in the banking sector. The ING Analytics group drives ING’s transformation into a data-driven organization with advanced analytics at its core.

Roles and Responsibilities

• Develop expertise in applying LLM, NLP, machine learning techniques for automated data extraction from documents, outlier and fraud detection, representation learning, entity resolution, and network & graph applications.
• Adopt best practices and quality standards for developing and deploying fit-for-purpose model pipelines according to ING model governance requirements.
• Be an effective member of a model development and implementation squad, challenge the status quo, and build what matters.
• Actively learn about the domain, engage stakeholders, and create compelling data stories to make the bank and society safer.

How to Succeed

• Stay curious, keep learning, and take responsibility.
• The company supports your development into an even better version of yourself.

Requirements

• MSc or PhD with excellent academic results in Mathematics, Physics, Computer Science, Engineering, Econometrics, or similar.
• At least 2+ years of experience in Data Science including statistical modeling and machine learning for business questions and/or innovative data-driven products.
• Programming languages: Python is an advantage.
• Ability to explain complicated subjects clearly.
• Friendly, approachable with good humor and personality.
• Motivated to keep up to date with latest developments.
• Strong knowledge of machine learning algorithms from classical econometric models to advanced neural networks, with the ability to match them to business problems.
• Team player balancing independence and teamwork.

Benefits

• Salary tailored to experience and qualities.
• 24-27 vacation days depending on contract.
• Pension scheme.
• 13th month salary.
• Individual Savings Contribution (BIS), 3.5% of gross annual salary.
• 8% holiday payment.
• Hybrid working to combine home focus and office collaboration.
• Personal growth and challenging work with endless possibilities.
• Informal environment with innovative colleagues.

About Us

With 60,000 employees in about 40 countries, ING offers opportunities for those who want to help people get ahead in life and business. They emphasize working at the cutting edge with integrity and customer focus, surrounded by progressive and diverse colleagues.