d) at Procter & Gamble Company

Kronberg im Taunus, Hesse, Germany

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Consumer GoodsIndustries

Requirements

Bachelor or Master student with a minimum of 2 semesters completed
Strong academic results preferred
Field of Study: Computer Science, Data Science, Computer Vision, AI/ML
Proficiency in English
Proficiency in Python, SQL, TensorFlow/PyTorch
Experience with Data Analytics and Segmentation Algorithms

Responsibilities

Build and optimize data models and algorithms
Utilize ML and AI techniques in combination with R&D data and models
Work on groundbreaking algorithms for semantic segmentation of 3D structures
Fine-tune and refine algorithms
Apply AI & M&S technologies to enhance material science research and optimize consumer goods product development
Collaborate with other students and university connections
Work on projects utilizing GEN AI such as stable diffusion and GANs to enable E2E digitization and characterization
Demonstrate leadership in approaching and solving challenges

Skills

Key technologies and capabilities for this role

PythonSQLTensorFlowPyTorchKNIMEPowerBIAzureDatabricksGitGitHubStable DiffusionGANs

Questions & Answers

Common questions about this position

What is the salary for this internship?

The internship offers a competitive salary starting at 2,100€ per month.

Is this internship remote or onsite?

The position is onsite at the German Innovation Center in Kronberg.

What skills are required for this Data Science internship?

Required skills include proficiency in Python, SQL, TensorFlow/PyTorch, and experience with Data Analytics and Segmentation Algorithms. Candidates should be Bachelor or Master students in Computer Science, Data Science, Computer Vision, or AI/ML fields with strong academic results and English proficiency.

What is the company culture like at P&G for interns?

P&G emphasizes employee development, promotion from within, and a supportive, welcoming culture with benefits like a buddy program and intern social connects.

What makes a strong candidate for this R&D internship?

Strong candidates are Bachelor or Master students with at least 2 semesters completed, strong academic results in relevant fields, proficiency in required coding and analytics skills, and the ability to demonstrate leadership in solving challenges.