Junior AI Specialist - Early Career Program

This is what we offer you

• Gross monthly salary between €3,314 and €4,733 (scale 07)
• Thirteenth month's salary and 8% holiday allowance
• 10% Employee Benefit Budget
• EUR 1,400 development budget per year
• Hybrid working: balance between home and office work (possible for most roles)
• A pension, for which you can set the maximum amount of your personal contribution

Junior AI Specialist – Data & Analytics Early Career Program

Are you energized by dynamic challenges and solving complex and often time-sensitive challenges? Rabobank is looking for an AI Specialist who thrives in a fast-pacing environment where flexibility, initiative, and clear communication are key.

By staying at the forefront of emerging AI developments, you’ll play a key role in translating innovation into practical impact. While you won’t be building models from scratch, you’ll collaborate closely with consultants and business teams to make improvements. Your expertise in designing and contributing to reusable machine learning frameworks or tools, writing clear documentation and technical standards, and influencing AI-related policy will directly support the growth of Rabobank’s AI capabilities. You’ll contribute to a team that’s advancing the future of AI in a dynamic and multifaceted environment.

During our Early Career Program, you’ll develop your career over 18 months by becoming an expert in your field. Throughout the program, you’ll stay with one team and receive training to enhance your hard skills. You’ll be paired with a buddy who will guide you in navigating the bank. For your personal development, you and your fellow starters will follow the Early Career Program and receive guidance from a Data & Analytics Development Consultant. We’re here to prepare you for sustainable career!

Practical

• Length: 18 months, after which you will continue working within your team
• Every Friday afternoon at the office with other Data Analytics Young Professionals in the ECP program!

Your development in a Data Analytics Early Career Program!

Within this program, you will have the opportunity to get to know yourself, your trade, and Rabobank. You will start the program in a junior position within one team, participate in (online) workshops and training modules with other young professionals, and quickly gain practical experience.

Together with Advanced Analytics community there is room for creativity and initiative to organize events, training sessions, and knowledge-sharing sessions. This way, we continuously improve the program and ourselves! You will easily build a large and valuable network within the bank.

Learning from each other

Development is our top priority. The best way to learn is by doing, through both mistakes and successes. At Rabobank, we offer you the right balance between freedom and supervision. Develop talents you never thought you possessed, specialize in a professional field, or explore the things you're good at and enjoy doing. During your Advanced Analytics Early Career Program, you can count on us for excellent supervision. You'll work with experienced colleagues and have lots of contact with other Advanced Analytics young professionals.

“Chapter Global AI provides the perfect platform to have an oversight over all AI systems in Rabobank. As part of the diverse and welcoming team, I contribute to building the AI strategy of Rabobank, and enable the development of AI in a safe and compliant manner. ”
Nishant Rajesh AI Specialist

Work on your own development & shape the world around you

For us, your development and that of society go hand in hand. That's why we want to invest in you and work together towards a better world. We summarize this in one sentence: "At Rabobank, you work on yourself and the world around you at the same time."

This is reflected in your personal development budget, our hybrid work environment, and a good work-life balance. You can work on banking matters for our private and business clients, but also on societal issues such as food and energy transitions.

You and your talent

• Education: Master’s or PhD in Computer Science, AI, Data Science, Applied Mathematics, or Engineering
• Experience: 0–2 years in AI/ML roles (e.g., Data Scientist, ML Engineer, AI Researcher)
• Technical Exposure:
  • Hands-on experience with ML development and deployment
  • Familiarity with both experimental and production-grade ML systems
• Cross-functional Collaboration:
  • Worked with governance, risk, or compliance teams
  • Contributed to AI strategy and standard-setting across teams
• Strategic & Methodological Thinking:
  • Deep understanding of ML, deep learning, and generative AI
  • Skilled in identifying scalable, reusable solutions across use cases
• Governance & Policy:
  • Able to evaluate and advise on AI-related policies and frameworks
• Communication & Influence:
  • Strong communicator who bridges technical and non-technical stakeholders
  • Skilled in stakeholder engagement and advocacy. Not just by delivering clear messages, but also in sensing how to engage and influence different stakeholders. You understand that effective communication is as much about listening and adapting as it is about speaking.
• Documentation & Process Design:
  • Experienced in writing technical guidelines, playbooks, and best practices
• Mindset & Attitude:
  • Flexible, proactive, and hands-on approach to diverse challenges
• Language: Excellent command of English
• Residency: Currently living in the Netherlands