/#jobs
#Platform#About Us#Employers#AI Jobs
Get Started
Amsterdam
17 Apr 2026
Trainee Data Scientist logo

Trainee Data Scientist

ABN AMRO Bank N.V.

Amsterdam
17 Apr 2026
Apply

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
/#jobs

Your gateway to a successful career. Show your growth. Be ready for your next step. Capture and seize the best opportunities.

  • Data
  • FAQ
  • Articles
  • AI Jobs
  • Platform
  • Employers
  • About Us
  • Legal
© 2026/#jobsAll rights reserved.

For queries/support, email jobs.support@slashhash.ai