Data Science Internship in Predictive Maintenance

vor 1 Monat

Greifensee, Schweiz Mettler Toledo Vollzeit
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 Predictive Maintenance 80-100% (all genders). In this role, your responsibilities would include:
  • You conduct comprehensive analysis of field service data and telemetry from measuring devices to identify patterns and predict potential failures
  • You develop and implement machine learning models to forecast maintenance needs, reducing downtime and operational costs
  • You collaborate with engineering and operations teams to integrate predictive maintenance insights into service workflows
  • You participate in the design and development of a scalable data science framework/platform to support future projects
  • You ensure best practices in ML Ops are followed, including model deployment, monitoring, and management
  • You document methodologies, models, and findings for internal use and as part of your Master Thesis project
  • You engage in team meetings to share insights, progress, and collaborate on problem-solving
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, Computer Science, Engineering, or a related field with a focus on machine learning
  • You are proficient in machine learning, data science methodologies, and ML Ops principles
  • You have strong programming skills in Python, including familiarity with ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch) and data processing (e.g., Pandas, NumPy)
  • You are experience with data visualization tools (e.g., Matplotlib, Seaborn, Plotly) and understanding of data engineering concepts
  • You have the ability to analyze and interpret complex datasets, with experience in telemetry or field service data being a plus
  • You have excellent problem-solving skills, along with the ability to work independently and in a team environment
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 40-hour 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. Are you interested? Then we look forward to receiving your online application. If you have any questions, please do not hesitate to contact us. Our e-mail address is ta-ch@mt.com. We do not consider applications submitted by agencies for this job opening. 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.