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P&
P&G
6mo ago

R&D Internship – Data Science, ML and AI(m/w/x)

Kronberg im Taunus
from 2,300 / month
Full-timeInternshipOn-site
AI/ML
Data Science

Description

In this internship, you will dive into the world of data science, machine learning, and AI, working on innovative projects that drive product development and enhance research. You will collaborate with a diverse team while gaining hands-on experience with cutting-edge technologies.

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Requirements

  • •Bachelor or master student with 2 semesters completed and strong academic results
  • •Proficiency in English
  • •Experience in coding with Python, SQL, Tensorflow/Pytorch, Data Analytics and Segmentation Algorithms
  • •Experience with Mathematical modelling and Knowledge in Material/Porous Media characterization
  • •Experience with KNIME and PowerBI
  • •Experience with cloud-based systems such as Azure and Data bricks
  • •Experience in Git based systems, e.g., GitHub
  • •Ability to demonstrate leadership by approaching and solving challenges

Education

Currently in higher education
OR
Bachelor's degree

Tasks

  • •Build and optimize data models and algorithms
  • •Utilize ML and AI techniques with R&D data
  • •Develop algorithms for semantic segmentation of 3D structures
  • •Refine and fine-tune algorithms
  • •Work on projects using GEN AI for digitization and characterization
  • •Apply AI and M&S technologies in material science research
  • •Enhance consumer goods product development
  • •Collaborate with students and university connections
  • •Manage multi-functional teams across regions

Tools & Technologies

PythonSQLTensorflowPytorchKNIMEPowerBIAzureData bricksGitHub

Languages

English – Business Fluent

Benefits

Flexible Working

  • •Flexible work environment

Team Events

  • •Regular intern social connects
  • •Inspirational Leadership Events

Mentorship & Coaching

  • •Buddy program
  • •Coaching and mentorship

Other Benefits

  • •Campus services
  • •Employee programs

Learning & Development

  • •Personal development plan
  • •Training-on-the-job
  • •Individual upskilling opportunities

Job Security

  • •Full-time employment offer

Diverse Work

  • •Diverse career perspectives

Career Advancement

  • •New job assignments every 2-3 years

Workation & Sabbatical

  • •Opportunity to work abroad

Healthcare & Fitness

  • •Sports groups
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