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Amsterdam
17 Apr 2026
Trainee Data Scientist logo

Trainee Data Scientist

ABN AMRO Bank N.V.

Amsterdam
17 Apr 2026
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Trainee Data Scientist

Trainee Data Scientist role in a hybrid setting at ABN AMRO, focusing on developing predictive models and AI solutions for banking. The 18-month traineeship includes rotations, bootcamps, and leads to a Data Scientist position. Requires a degree in math/statistics/related fields, up to 2 years experience, and skills in Python/SQL/R, statistical modeling, and machine learning.

HybridVolunteerEntry LevelPythonSQL

Trainee Data Scientist

Trainee Data Scientist role in a hybrid setting at ABN AMRO, focusing on developing predictive models and AI solutions for banking. The 18-month traineeship includes rotations, bootcamps, and leads to a Data Scientist position. Requires a degree in math/statistics/related fields, up to 2 years experience, and skills in Python/SQL/R, statistical modeling, and machine learning.

Apply
HybridVolunteerEntry LevelPython

Salary

Not specified

Work Location

Amsterdam, North Holland, Netherlands, NL

Work Model

Hybrid

Experience Required

2 years

Employment Type

Volunteer

Experience Level

No more than 2 years of work experience, this is a graduate programme

Contract Length

18 months

Core Qualifications

Technical (Must-have)
PythonSQLRstatistical techniquesdata miningmachine learningpredictive analyticsfeature engineeringMLOpsmodel performance monitoring
Soft Skills
entrepreneurial spiritcreative mind-setsolutions-orientedself-starterproactivecommunicationstorytellingcollaboration
Tools (Must-have)
JaveAdobe AnalyticsGoogle Analytics

Preferred Qualifications

Technical (Nice-to-have)
cloud servicesAzure Cloud Servicesdistributed datacomputing toolsHadoopHiveMap/ReduceMySQLSparkAgile methodology

Key Responsibilities

  • •Translate business challenges into data questions and turn functional/technical requirements into tangible analytics and AI solutions
  • •Research, develop and improve statistical, machine learning and (Gen)AI models
  • •Conduct data experiments across varied datasets and validate outcomes with the right evaluation methods
  • •Collaborate closely with Data Scientists, Machine Learning Engineers, DevOps and product stakeholders to design, build and deliver solutions
  • •Build and improve processes and tooling to monitor model performance, data quality and accuracy
  • •Help build and maintain end-to-end ML pipelines (feature engineering, training, evaluation, deployment, monitoring)
  • •Visualize insights effectively and communicate results and statistical concepts clearly to business stakeholders and end-users
  • •Contribute to continuous improvement by automating existing deliverables and proposing ideas that improve technical, data or business outcomes
Data ScientistTraineeBankingCapital MarketsInvestment BankingMachine LearningAIPythonGraduate ProgrammeHybrid
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