Data Science Internship in Rate Control Optimization - Greifensee, Schweiz - Mettler Toledo

Mettler Toledo
Mettler Toledo
Geprüftes Unternehmen
Greifensee, Schweiz

vor 1 Woche

Lena Schneider

Geschrieben von:

Lena Schneider

beBee Recruiter


PraktikumSHIP
Beschreibung
About Mettler Toledo

METTLER TOLEDO is a leading global supplier of precision instruments and services.

We are recognized as an innovation leader and our solutions are critical in key R&D, quality control, and manufacturing processes for customers in a wide range of industries including life sciences, food, and chemicals.

We operate throughout the world with a culture shaped by innovation and international flair.

Our Opening and Your Responsibilities


Our global Industrial Division offers Automation Products and Solutions which enable our customers to increase productivity, achieve high uptime and reduce waste.


Our R&D Competence Center, established in Switzerland in 2023, is focused on developing data-based solutions to provide effective solutions for a range of customer use cases, by leveraging sensor data and our terminal as a key-component in edge computing.

We are committed to enhancing our capabilities in predictive maintenance.

We are seeking a motivated Master's student for 6-9 months to contribute to this critical area, offering a unique opportunity to work on real-world problems and contribute to the development of our future data science framework/platform.

We are looking for someone for a Data Science Internship in Rate Control optimization 80-100% (all genders).

In this role, your responsibilities would include:

  • You collaborate with the data science team to understand project requirements and objectives
  • You design and implement algorithms for process optimization, focusing on controller performance and robustness, adapting to different environments automatically
  • You develop and maintain data pipelines for efficient data collection, processing, and analysis
  • You conduct rigorous testing and validation of models and algorithms to ensure reliability and accuracy
  • You document all research findings, code, and methodologies and participate in regular team meetings to discuss progress, challenges, and strategies
What You Need to Succeed

  • Following requirements are necessary for this role:
  • You are currently enrolled in or graduated from Master's program in Data Science, Control Engineering/Automation, or a related field
  • You have a strong foundation in control theory, especially in PID control and optimization techniques
  • You are proficiency in Python, including experience with data science and machine learning libraries (e.g., Pandas, Scikitlearn, TensorFlow, or PyTorch)
  • You are experienced in building and maintaining data pipelines
  • You have a solid understanding of data analysis, statistical modeling, and machine learning algorithms
  • You have excellent problemsolving skills and the ability to work independently and collaboratively within an international team
Our Offer to You


We offer:

  • Flexible working hours (depending on the role), a hybrid work model, and a wide portfolio of training opportunities
  • A 40hour work week with at least 25 vacation days per year, plus 4 to 7 additional days off between bank holidays
  • Free parking and direct access to public transport
  • Healthy lunches cooked onsite at our own METTLER TOLEDO restaurant, with special prices for employees
  • A range of additional attractive benefits, including employee discounts at select area businesses


You can expect challenging, interesting, and varied tasks in an innovative and international environment, with the opportunity to network globally and achieve your career goals.

Equal Opportunity Employment

We are an equal opportunity employer and value diversity at our company.

We give consideration for employment without regard to race, color, religion, sex, age, national origin, disability, sexual orientation, gender identity, genetic information, or any other protected classification.

You can find more details in our Equal Employment Opportunity Policy.

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