Data scientist at ING Analytics
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Job Location:
Amsterdam - Netherlands
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
he Data Scientist hired willbe responsible forscoping developingvalidating and documenting Agentic AI solutions which will form the core of products whichING Analytics Wholesale Banking (INGA-WB)develops for ING. This will also include carrying out world-class Research and Development whereappropriate toarrive at a solution as well as potentially guiding and mentoring more junior members and STAs orMastersstudents (though this person will not be a line manager).
ING Analytics Wholesale Banking is a department formed of four Chapters (Data Science Data Engineering UX and Product Management) which hasroughly 100full-time employees and which focusses on building algorithmic 10x data-driven products thatbenefitour clients and generate revenue for the bank.
The team
INGs goal is to enable people to do their thing and empower them to stay a step ahead in life and in business. We are one of the largest banks inEuropeand we continuously evolve to become one of the most innovative companies in the banking sector. The ING Analytics group is a major driving force in INGs transformation aimed at helping us to become a data-driven organization where advanced analytics is at the heart of our business processes.
Roles and responsibilities
Yourfocuswill be on:
Develop anexpertisein applying Agentic AI techniques for performing automated tasks in the KYC domain such as data extraction from documents completeness and reliability assessments contextengineeringandoptimisation etc.
Otherprojectinclude:machine and representation learning entity resolution and network & graph applications.
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.
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.
Provenexperiencein working withAgentic AI and LLM techniques.
MSc or PhD with excellent academic results in the field of Mathematics Physics Computer Science Engineering Econometrics or similar.
You have at least 1 years (Junior) or3 years (Medior) of work experience in the Data Science space (methods technology data) including statistical modelling and machine learning experience to solve business questions and/or develop (innovative) data driven products.
Programming Languages:proficiencyinPython isrequired
Youare able toexplain complicated subjects clearly
You are friendly and approachable with good humor and personality
You are motivated to keep on top of the latest developments
You have good knowledge of a wide range of machine learning algorithms ranging from more classical econometric models tocutting-edgeneural networks andcanmatch them to business problems
You are a team player who strikes effective balance between independence and acting in the interest of the team
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
Questions
Contact the recruiter attached to the advertisement. Want to apply directly Please upload your CV and motivation letter by clicking the Apply button.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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!
