ING

Artificial Intelligence Intern – Tech Innovation

ING

internship

Posted on:

Location Type: Hybrid

Location: Nürnberg • Germany

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Job Level

Entry Level

Tech Stack

AzurePython

About the role

  • Keen to work hands‑on in the AI and data domain?
  • Work directly within the machine learning and AI landscape and develop proof‑of‑value concepts together with our experts
  • This includes analyzing use cases, technically validating models, and prototypically implementing solutions in production‑like environments
  • Support tasks related to data integration and data engineering
  • Help build robust data pipelines and prepare relevant data for AI models
  • Work with large datasets, perform exploratory data analyses, engineer features, and assist with model evaluation
  • Create interactive dashboards and visualizations in Power BI
  • Support the development of a consistent reporting stack
  • Provide proactive technical support to teams in ongoing projects

Requirements

  • Enrolled in a Bachelor’s or Master’s program in (Business) Computer Science, Data Science, Software Engineering, Mathematics or a related field, or in a gap year between Bachelor’s and Master’s
  • Strong interest in Artificial Intelligence, modern data architectures, digitalization and Microsoft technologies (Azure, Power Platform, M365)
  • Ideally some prior exposure to AI or data projects, e.g., through university projects, internships or personal technical projects
  • Basic software development skills (e.g., Python, R or C#) are a strong plus
  • Motivation to help shape the world of tomorrow
  • Fluency in German and English, both written and spoken
  • Available for a minimum of 6 months starting from 15 March 2026 (please state the exact period including start date in your cover letter)
Benefits
  • Attractive compensation
  • Free Deutschlandticket
  • 30 days of vacation
  • On‑site company restaurant
  • Collaborative, flat‑hierarchy culture with an informal addressing style
  • Extensive networking opportunities
  • Personal and professional development programs
  • A range of offerings for fitness, preventive care, nutrition and work–life balance
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningAIdata integrationdata engineeringdata pipelinesexploratory data analysisfeature engineeringmodel evaluationPythonR
Soft Skills
motivationproactive supportteam collaboration