Data Scientist - Transaction Banking Data Domain

At a glance

Are you an experienced Data Scientist with an interest in the financial sector and banking products? Would you like to work in a team of motivated data professionals that supports strategic, operational, and tactical decision-making through data-driven insights? If so, the Transaction Banking Data Domain could be a great place to further develop your skills and contribute to meaningful business outcomes.

As a Data Scientist, you will:

• Develop innovative Analytics & AI solutions using Machine Learning, Generative AI, and AI Agents.
• Turn business challenges into actionable data-driven insights and recommendations.
• Lead projects from idea to implementation, working closely with business and technical teams.
• Explore large and diverse datasets to identify opportunities, trends, and performance improvements.
• Advise stakeholders on KPIs, reporting, and decision-making through compelling data storytelling.
• Collaborate with Data Engineers, ML Engineers, Architects, and business experts to deliver impact.
• Drive automation, continuous improvement, and adoption of data-driven ways of working.
• Stay at the forefront of developments in AI, GenAI, cloud technologies, and advanced analytics.

The Advanced Analytics & AI Center of Expertise (AA&AI CoE) is part of the Transaction Banking Data Domain, helping drive excellence through data. We support a broad portfolio of banking products and use advanced analytics, AI, and GenAI to generate insights, improve processes, optimize performance, and support data-driven decision-making across the business.

Our team acts as both trusted advisors and change agents, helping embed a data-driven mindset throughout the organization. We work closely with business experts, product owners, and leaders to solve complex challenges and create customer value.

The Transaction Banking Data Domain consists of 40+ professionals across the Netherlands and India. We offer a collaborative, agile, and inclusive environment where ownership, continuous learning, innovation, and celebrating success are part of our culture, guided by the bank's values of Care, Collaboration, and Courage.

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)

• Knowledge of the financial sector and/or banking products.
• Experience in working on azure/ Databricks/ or similar cloud platforms.
• Affinity towards technical topics including data and machine learning engineering.
• Microsoft DP-100 certification (Azure Data Scientist Associate).
• Knowledge of agile methodology, and ability to manage multiple priorities simultaneously.
• Microsoft AZ-900 certification (basic knowledge of Azure cloud services).

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…