Key Skills

Job Description

At a glance Are you ready to use your Data Science skills to make a real impact in the Finance & Risk Data Domain? Do you thrive on Python, GenAI, Spark, Databricks, ML and Azure? If so, then the role of Data Scientist in the Common Data team is an interesting position for you and we’d love to meet you! Your job You are an experienced professinoal that doesn't just build smart AI solutions, you shape the future of how we work. You spot opportunities before others do, experiment iteratively, involve stakeholders from the start, and turn promising ideas into valuable, scalable (Gen)AI products. We run several (Gen)AI applications, from data quality optimization models to automated reporting and signalling clients in distress, all used daily by colleagues across the organization. Working environment The Finance & Risk Data Domain is part of Finance & Risk Business Grids (F&RBG), and plays an active role for all the Finance and Risk departments. We employ 200+ international professionals with different backgrounds who are driven to bring risk data management to a structurally higher level. Our aim is to generate reliable risk data on time. We do this by improving the risk data itself, data systems and data processes. We work with an Agile operating model. Our Finance and Risk Data Domain consists of 7 departments where the atmosphere is dynamic, open and informal. You are part of the AI Strategy Team in the Centre of Expertise Advanced Analytics & Artificial Intelligence department. You will report to the Business Lead CoE AA & AI. Your profile You are a curious, pragmatic developer with at least 7+ years of experience in Data Science and/or AI Engineering. You have at least 5+ years of hands‑on experience with Python, Spark, SQL, Databricks, Azure, basic ML-models, pipeline structuring and optimization techniques. You are able to translate complex business challenges into workable AI models effortlessly and explain complex topics with clarity and impact. You have excellent communication skills in English, and are confident collaborating with senior management and stakeholders. You have worked in Scrum/DevOps teams and enjoy working within multidisciplinary teams. You have a learning mindset with a willingness to continue to grow and a broad interest in a variety of data science topics. You are pragmatic, look for the simplest solution first, enjoy giving and receiving feedback, and take ownership of your work and work in a structured way. We are offering We believe it is important to be a good employer. Joining us means stepping into a role with impact, supported by excellent employment conditions that foster your job satisfaction, development, and wellbeing. In addition, we offer: An attractive gross monthly salary based on a 36-hour work week, including holiday allowanceand a flexible benefit budget. An excellent pension scheme, ensuring that you are well prepared for the future. Flexibility in working: working from home is possible in consultation with your team and depending on your role. We will provide an ergonomic home office setup for you. Plenty of room for relaxation with five weeks of vacation per year, supplemented by two mandatory days off. You can also purchase up to four additional weeks of vacation annually. Five “Banking for better days”: extra days off that you can use for personal development or volunteer work. Personal development is key: you receive a development budget of €1,000 per year, which can accumulate up to €3,000. An annual public transport pass with free public transportation throughout the Netherlands for both business and private use. You can find more information about our employment conditions and salary scales in our Collective Labour Agreement (CLA), which applies to this vacancy. Interested? Do not hesitate to approach us for more details, or apply directly. For more information contact Nasim Mehrshid, Business Lead CoE AA&AI, via email: [email protected]. We look forward to meeting you! Your Future: Inclusive, Innovative, Sustainable At ABN AMRO, we believe in "Banking for better, for generations to come." Equal opportunities for everyone are a crucial foundation, as we strive for an inclusive culture where all employees feel seen, heard, and valued. Our vision of being a personal bank in the digital age aligns perfectly with the demand for surprising insights and innovative solutions, born from a diverse interplay of cultures and experiences. We focus on customer experience, sustainability, and building a future-proof bank, conducting annual reviews to ensure equal pay for equal work. Join a bank that embraces ingenuity and ambition, and make an impact with us for a better future. If you want to apply for the B-Able or Reboot program, make sure to mention it both in the title and the content of your resume. Disclaimer external recruitment agencies External recruitment agencies need to have a signed agreement with ABN AMRO BANK N.V., executed by a Talent Acquisition Specialist, when submitting a resume to a vacancy. No unsolicited services or offers, please. Use of AI in our application process You’re welcome to use AI to help write your CV or cover letter, as long as it reflects your own story. We review every application personally and without AI. During interviews, real time AI tools may not be used. With your permission, interviews can be recorded and supported by AI. This helps us keep the process fair, careful, and transparent.

Core Responsibilities

Identify opportunities and iteratively develop scalable AI and generative AI products, involving stakeholders from the outset. Build and support applications such as data quality models, automated reporting, and client distress signaling used across the organization.

Requirements

Requires at least 7 years of experience in Data Science and/or AI Engineering, including at least 5 years of hands-on experience with Python, Spark, SQL, Databricks, Azure, basic machine learning models, and pipeline structuring and optimization. Candidates should translate business challenges into practical AI models, communicate clearly with senior stakeholders, and have experience working in Scrum/DevOps and multidisciplinary teams.

Benefits

• Holiday Allowance
• Flexible Benefit Budget
• Pension Scheme
• Flexible Working
• Ergonomic Home Office Setup
• Five Weeks of Vacation
• Additional Purchaseable Vacation
• Personal Development Days
• Annual Development Budget
• Public Transport Pass