Senior Data scientist - ING Analytics at ING · Amsterdam

Senior Data scientist - ING Analytics Location: CDR (Amsterdam - Cedar) he Data Scientist hired willbe responsible forscoping, developing,validating, 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 ING’s 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 ING’s 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 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 thatyou’llstaycurious. Keep learning.Take onresponsibility. In return,we’llback 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 thatit’spossible 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.