Data Scientist Transaction Banking

Are you a Data Scientist 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 use 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.

At a glance

Join the Transaction Banking Data Domain as a Data Scientist and work in an autonomous, motivated team that uses data to support strategic, operational, and tactical decision-making within the banking sector.

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, including accounts, payment cards, packages, savings, insurances, open banking APIs, trade finance, and digital products such as Apple Pay and Google Pay, along with associated sales, business, and risk management processes. We contribute significantly to the bank’s revenue by strengthening data-driven decision-making.

We apply advanced analytics and emerging technologies such as GenAI to explore, research, and gather valuable insights; predict and forecast trends in product usage and transactions; optimize processes; define, report, monitor, and improve performance; advise on new proposition designs and duty of care topics; and help determine priorities and actions to achieve strong customer satisfaction and vendor relations. We also act as change agents to embed a data-driven mindset at all levels of the organization, enabling teams to harness the full potential of available data and strengthening data maturity and literacy across the bank. All Data Scientists within AA&AI CoE have T-shaped profiles and, alongside data science, may also take on roles such as Subject Matter Experts and Business Liaisons.

The Transaction Banking Data Domain consists of 40+ members based across the Netherlands and India. The team atmosphere is dynamic, open, and informal. We follow agile principles and work on cross-departmental and cross-functional initiatives while collaborating with business experts, business developers, product owners, seniors, and leaders, providing strong opportunities for networking and knowledge sharing. We have developed a culture where entrepreneurial spirit, empathy, fun, and celebrating successes are truly appreciated, guided by the bank’s values: Care, Collaboration, and Courage.

Your job

In your role as a Data Scientist, you will:

• Drive Advanced Analytics and AI innovation by developing use cases leveraging emerging technologies, fostering a culture of experimentation, innovation, and continuous improvement
• Design and develop AI solutions such as Machine Learning, Generative AI, and 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 and services, identify 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 including products, transactions, channels, customers, and CRM/sales data to generate insights
• Act as a data sparring partner with business stakeholders on smart KPIs and 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 such as 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

Your profile

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 the data science field
• High proficiency in programming languages such as Python, PySpark, SQL, and coding best practices
• Experience with Machine Learning and AI, including Forecasting, Prediction, Cluster Analysis, Generative AI, LLMs, RAG, Document processing, and AI Agents, and eagerness to learn and develop further 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 is a plus
• Experience working on Azure, Databricks, or similar cloud platforms is a plus
• Affinity for technical topics including data and machine learning engineering is a plus
• Microsoft DP-100 certification (Azure Data Scientist Associate) is a plus
• Knowledge of agile methodology and the ability to manage multiple priorities simultaneously is a plus
• Microsoft AZ-900 certification (basic knowledge of Azure cloud services) is a plus

We are offering

We believe it is important to be a good employer. Joining us means stepping into a role with impact, supported by employment conditions that foster 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, with an ergonomic home office setup provided
• Five weeks of vacation per year, supplemented by two mandatory days off, with the option to purchase up to four additional weeks annually
• Five “Banking for better days”: extra days off that you can use for personal development or volunteer work
• 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