Junior Data Scientist — AI & Analytics Early Career Program

Rabobank Gruppe; Utrecht; Hybrid; EUR 39,000 - 56,000; Full time

Benefits offered by this job

Thirteenth month

8% holiday allowance

10% Employee Benefit Budget

EUR 1,400 development budget per year

Hybrid working

Job summary

Rabobank is seeking a Junior Data Scientist for its Early Career Program in the Netherlands. You will learn to build AI solutions within the CLUE team, focusing on client lifecycle understanding and predictive models, using Python and Databricks.

The role blends ML with generative AI and ML Ops across an 18-month program. You will work in a team of around 15, in a hybrid setup with a strong emphasis on development, knowledge sharing, and collaboration.

Qualifications

• Master’s degree in a technical field (CS/AI/DS/Math) or comparable studies.
• 0-2 years of working experience after graduating.
• Excellent command of English.
• Interest in traditional ML and generative AI, including Agentic AI.
• Experience with Python and data science tooling is preferred.

Responsibilities

• Learn to build and maintain AI solutions in practice within the CLUE team.
• Develop analytics solutions including data engineering, ML engineering, and model evaluation.
• Translate business requests into data science solutions and practical applications.
• Collaborate with experienced colleagues to turn ideas into production-ready solutions.
• Contribute to knowledge sharing and technical development within the Advanced Analytics community.

Skills

English proficiency

Teamwork

Communication

Education

Master’s degree in Computer Science / AI / Data Science / Mathematics

Tools

Python

Databricks

Job description

Rabobank is seeking a Junior Data Scientist for its Early Career Program in the Netherlands. You will learn to build AI solutions within the CLUE team, focusing on client lifecycle understanding and predictive models, using Python and Databricks.

The role blends ML with generative AI and ML Ops across an 18-month program. You will work in a team of around 15, in a hybrid setup with a strong emphasis on development, knowledge sharing, and collaboration.