Used Tools & Technologies
LLMRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Python @ 5
SQL @ 5
Machine Learning @ 3
Data Science @ 3
Azure @ 3
Communication @ 3
Networking @ 3
CRM @ 3
API @ 3
Experimentation @ 3
Databricks @ 3
Reporting @ 3
Agile @ 3
Generative AI @ 3
AI @ 3
RAG @ 3
GenAI @ 3
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
At a glance
Are you a Data Scientist, who is fascinated by the financial sector and eager to explore the world of banking products? Do you want to be part of a team of young and highly motivated Data Professionals, who are entrusted and empowered to make use of data for strategic, operational, and tactical decision making? Does the idea of an autonomous team with the freedom to learn, grow and make impact sound exciting? The Transaction Banking Data Domain is this and more!
Working environment
We are the Advanced Analytics and AI Center of Expertise (AA&AI CoE), part of the Transaction Banking Data Domain and our purpose is to Drive Excellence Through Transaction Banking Data. Our value stream covers a vast portfolio of products: accounts, payment cards, packages, savings, insurances, open banking APIs, trade finance, digital products like Apple Pay/ Google Pay, and associated sales, business & risk management processes. We contribute significantly to the revenue of the bank by strengthening data driven decision making.
We apply advanced analytics and emerging technologies (like GenAI) to explore, research and gather valuable insights; predict and forecast trends of product’s usage and transactions; optimize processes; define, report & monitor and improve performance; advise on new proposition designs and duty of care topics; help decide the course of action and setting priorities to achieve great customer satisfaction and vendor relations. We also act as change agents to embed a data driven mindset at all levels of the organization enabling them to harness full potential of the data that we have, thereby strengthening data maturity and literacy in the bank. All our Data Scientists that work within AA&AI CoE have T-shaped profiles and next to data science they can play different roles like: Subject Matter Experts, Business Liaisons etc.
The Transaction Banking Data Domain consist of 40+ members and are based across the Netherlands and India. We value diversity and inclusion and the team atmosphere is dynamic, open and informal. We follow agile principles and work on cross departments and cross functional initiatives while collaborating with business experts, business developers, product owners, seniors and leaders – hence providing a golden opportunity for networking and serving as a knowledge haven. We have developed a culture where entrepreneurial spirit, empathy, element of fun and celebrating successes is truly appreciated. We do this by respecting and living bank’s values: Care, Collaboration and Courage!
Responsibilities
In your role as a Data Scientist, you will:
- Drive Advanced Analytics & AI innovation by developing use cases leveraging emerging technologies, fostering a culture of experimentation, innovation, and continuous improvement
- Design and develop AI solutions (Machine Learning, Generative AI, AI Agents) in close collaboration with ML Engineers, AI Architects, Data Engineers, and Data Analysts
- Translate business challenges into data questions, understand underlying processes for various products & services, identifying the right analytical techniques, and connect the dots
- Lead and contribute to projects end-to-end, balancing individual ownership with cross-functional collaboration, delivering value incrementally
- Conduct data exploration and experimentation across diverse datasets (products, transactions, channels, customers, CRM/sales) to generate insights
- Act as a data sparring partner with business stakeholders on smart KPIs & reports, with relevant insights for the right audience
- Communicate insights effectively through structured storytelling, clear visualizations, and well-organized work practices
- Engage and guide non-technical stakeholders and team members on Advanced Analytics cases while managing diverse collaborators across multidisciplinary teams
- Stay current and curious about trends in advanced analytics, GenAI, and cloud platforms (e.g., Databricks), continuously challenging the status quo
- Drive continuous improvement and automation of analytical solutions and processes, proactively identifying opportunities to solve business and technical challenges
Requirements
Do you think you are a fit? Check your qualifications:
- Degree in STEM or economics/business, with an analytics focus
- 6-8 years of work experience, with at least 3 years in data science field
- Exhibit high level of proficiency in programming languages such as Python, PySpark, SQL and coding best practices
- Experience with Machine Learning and AI (Forecasting, Prediction, Cluster Analysis, Generative AI, LLMs, RAG, Document processing, AI Agents), and eagerness to learn and develop in that area
- A combination of analytical skills, intellectual curiosity, communication, and reporting skills
- Effective written and verbal communication skills in English (and Dutch)
- Great to have: Knowledge of the financial sector and/or banking products
- Great to have: Experience in working on azure/ Databricks/ or similar cloud platforms
- Great to have: Affinity towards technical topics including data and machine learning engineering
- Great to have: Microsoft DP-100 certification (Azure Data Scientist Associate)
- Nice to have: Knowledge of agile methodology, and ability to manage multiple priorities simultaneously
- Nice to have: Microsoft AZ-900 certification (basic knowledge of Azure cloud services)
Benefits
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 allowance and 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?
Please submit your application through our system, including your CV and a motivation letter. Applications sent via email cannot be considered. 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.