Chapter Lead Data Science

Roles and responsibilities

The Data Scientist in your team including yourselfareresponsible for scoping developingvalidating and documenting machine learning-based solutions which form the core of products which INGA-WB develops for ING. This also includes carrying out world-class Research and Development whereappropriate toarrive at a solution.

Besides being a team lead as a data science lead yourmain focuswill be on:

• Oversee the direction setting and vision of multiple Data Science projects.

• Mentor grow and evaluate a team of junior and senior Data Scientists

• Be responsible forQuality Assurance of all DS models helping ensure they pass our stringent internal Model Validation checks prior to going into production.

• Lead the upskilling and knowledge sharing of all team members to ensure weremainat the forefront of DS techniques.

• Develop an expertise in applying machine learning NLP LLM techniques for: automated data extraction from documents outlier and fraud detection representation learning entity resolution time-series analysis and network & graph applications.

• Experience in usingPySparkfor large distributed data transformations and preparation is strongly preferred.

• Adopt best practices and quality standards for developing & deploying fit-for-purpose model pipelines addressing the requirements of the ING model governance.

• Be an effective member of a model development & implementation squad challenge the statusquoand build what matters.

• Actively learn about our domain reach out to our stakeholders and tell captivating stories with our data to create a journey that makes our bank and our society safer.

• Youare able topro-activelyand constructively find compromises and solutions where conflicts and or the need for tradeoffs arise.

How to succeed

We hire smart people like you for your potential. Our biggest expectation is thatyoullstaycurious. Keep learning.Take on returnwellback you to develop into an even more awesome version of yourself.

• 8 years of experience in data science withsome dataengineering and/or other technology related capabilities.

• Publications in top-tier Machine Learning conferences or journalsisstrongly preferred.

• Proven experience in managing mentoring steering a group ofmultipledata scientists in a data science project over a longerperiod of time&havea clear visionon how to do so.

• Strong data science background in Computer Science Statistics EngineeringPhysicsor similar technical field (math or engineering)

• You are strong in AI machine learning and statistics techniques and have affinity to stayup-to-datewithlatestdevelopments in those areas.

• Affinity of working with financial data.

• Experience with a corporate environment and/or the financial industry.

• Because of the big diversity in the team you will need strong soft- and communication skills.

Rewards and benefits
We want to make sure thatitspossible for you to strike the right balance between your career and your private life.Find out more about our employment conditions.


The benefits of working with us at ING include:

• 25-28 vacation days depending on contract

• Pension scheme

• 13th month salary

• 8% Holiday payment

• Hybrid working

• Personal growth and challenging work with endless possibilities

• An informal working environment with innovative colleagues

About us
Curious about how ING empowers people and businesses to move forward

Discover what we do and what we can offer you.

Questions
Contact the recruiter attached to the advertisement. Want to apply directly Please upload your CV and motivation letter by clicking the Apply button.