Junior Data Scientist CDAO Analytics Acceleration - Early Career Program

Are you passionate about data and love solving complex analytical puzzles? Challenge yourself and us, and make an impact with the Advanced Analytics Early Career Program at Rabobank. Grow your skills, discover your potential, and help us uncover new possibilities for Rabobank.

In this role as a Junior Data Scientist within CDAO Analytics Acceleration (Early Career Program), you will join the Responsible GenAI squad.

The role

The Responsible GenAI squad drives the development and implementation of Generative AI solutions that enable the bank to apply AI effectively in practice. These solutions enhance the customer journey, streamline data processing, answer internal staff queries, and generate insights and reports to facilitate workflows. To accelerate innovation, the team also develops APIs that help other teams build GenAI solutions faster and more efficiently.

As a Junior Data Scientist, you will contribute to building, monitoring, and optimizing the performance of GenAI solutions across diverse use cases within the bank. You’ll be at the forefront of creating tools that tackle complex challenges, improve efficiency, and unlock new opportunities. Your work will involve exploring topics such as responsible GenAI, performance monitoring, red teaming, and evaluating GenAI models for fairness and bias.

You and your future

During this Early Career Program at Rabobank, 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 are here to prepare you for sustainable career!

Your development as a Young Professional

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 Data & 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 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.

“As a computer science graduate specializing in machine learning, the Responsible GenAI squad has been the perfect environment for my growth. I work on data science challenges using LLMs to solve customer problems while also gaining exposure to complex engineering topics, creating an exceptional learning experience.” Martijn Jansen Advanced Analytics Early Career Program Graduate

You and your talent

• Educational Background: You have obtained a Master's in Computer Science, Data Science, Machine Learning, Informatics or a similar field.
• Work Experience: Approximately 0-2 years of work experience.
• Residency: Currently living in the Netherlands.
• Communication Skills: Strong verbal and written communication skills, with the ability to translate quantitative analysis into comprehensive information for higher management and business users.
• Technical Skills: Knowledge of Python as well as (interest in learning) Databricks, PySpark, cloud technologies (e.g. Azure), Git, CI/CD, ETL processes, SQL
• Language Proficiency: Excellent command of the English language.