Open Innovation Intern: Prototyping & Data Analytics

Philip Morris International

Neuenburg

On-site

CHF 17,000 - 23,000

Part time

5 days ago
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Job summary

Philip Morris International offers an Open Innovation Internship in Switzerland, focusing on prototyping and evaluating emerging electronic technologies for early-stage smoke-free concepts. You will use data analytics, data processing and embedded programming to drive feasibility assessments and real-world impact.

We seek a curious, technically strong student in CS/DS/Electronics/Engineering, available Feb 2027–Aug 2027, with Python and ML framework experience.

Qualifications

  • Enrolled in a Master’s or PhD program in CS/DS/Electronics/Physics/Engineering or related field.
  • Available Feb 2027 to Aug 2027.
  • Strong Python skills with scikit-learn, pandas and NumPy.
  • Familiar with deep learning frameworks such as PyTorch or TensorFlow.
  • Knowledge of embedded programming including RTOS, Git, I2C, SPI and STM32.
  • Ability to evaluate electronic components using datasheets and testing.
  • Able to develop data analytics pipelines and generate insights with ML methods.
  • Demonstrates independence, critical thinking and collaboration.

Responsibilities

  • Support prototyping, testing and evaluation of emerging electronic technologies for early-stage smoke-free product concepts.
  • Use data analytics, data processing and embedded programming for feasibility assessment.
  • Work in a dynamic environment focused on experimentation, rapid iteration and impact.
  • Communicate effectively with internal and external teams to prototype and validate solutions.

Skills

Python
Data analytics

Education

Master's or PhD in CS/DS/Electronics/Physics/Engineering

Tools

scikit-learn
pandas
NumPy
PyTorch
TensorFlow
RTOS
Git
I2C
SPI
STM32

Job description

Philip Morris International offers an Open Innovation Internship in Switzerland, focusing on prototyping and evaluating emerging electronic technologies for early-stage smoke-free concepts. You will use data analytics, data processing and embedded programming to drive feasibility assessments and real-world impact.

We seek a curious, technically strong student in CS/DS/Electronics/Engineering, available Feb 2027–Aug 2027, with Python and ML framework experience.

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