About us

mecas. is a private AI lab on a mission to unlock the full potential of European companies.

We work with companies across industries to build and deploy AI solutions that drive real business value.

🎯 Our approach: We bridge cutting-edge academic research with real-world business impact. Through active partnerships with leading universities and research institutions, we tackle hard technical problems that push the boundaries of what's possible in commercial AI applications.

🤝 Our culture: Full ownership, excellence-driven, high trust (no micromanagement). We go the extra mile in everything we do.

⚡ What to expect: Work at the forefront of AI applications in a fast-paced, startup-like environment.

The Role

We're looking for a Data Science Intern who wants to make a real impact from day one. This isn't a typical internship where you'll be shadowing others - you’ll take ownership of a full project, working with real-world manufacturing data to tackle meaningful business challenges.

Your main project:

• Drive a quality control optimization initiative for a manufacturing operation
• Work with real production data from an active manufacturing facility
• Investigate root causes of production failures using advanced data analysis techniques
• Develop and train predictive ML models to anticipate quality issues before they happen
• Present findings directly to client stakeholders and see your recommendations implemented

Beyond your core project:

• Opportunity to contribute to LLM-based platform development projects
• Collaborate with senior engineers on cutting-edge AI applications
• Gain exposure to diverse industries and AI use cases across our client portfolio

What We're Looking For

Required:

• Master's degree (completed or in progress) in STEM fields with focus on Data Science, Statistics, or related quantitative disciplines
• Strong programming skills in Python and data science libraries (pandas, scikit-learn, matplotlib/plotly)
• Experience with statistical analysis, hypothesis testing, and experimental design
• SQL and database experience for working with production datasets
• Machine learning fundamentals - classification, regression, model evaluation
• Ability to translate complex analyses into clear, actionable insights
• Self-motivated and comfortable taking ownership of projects

Nice to have:

• Experience with dashboard creation tools (Streamlit, Dash, Tableau, or similar)
• Knowledge of manufacturing processes or industrial data
• MLOps experience - model deployment, monitoring, version control
• Background in time series analysis and forecasting
• Interest in LLM applications and modern AI technologies

Why This Internship is Special

• Real responsibility: You'll own a complete project from data exploration to model deployment, not just assist with someone else's work.
• Production impact: Your models will be deployed in a real manufacturing facility, affecting actual business operations and quality outcomes.
• Client exposure: Work directly with industry professionals and present your findings to decision-makers.
• Diverse learning: Exposure to both traditional data science and cutting-edge AI technologies like LLMs.
• Flexible arrangement: 50%-100% commitment with primarily remote work and occasional client visits in Zurich.
• Research connection: Opportunity to work at the intersection of academic research and commercial application.

What We Offer

• Competitive internship compensation based on your commitment level (50%-100%)
• Flexible work arrangement - primarily remote with travel to Zurich for client meetings as needed
• Real-world experience that makes a difference on your resume and portfolio
• Mentorship from experienced AI engineers and researchers
• Access to cutting-edge tools and technologies
• Potential for future opportunities within our growing team
• Project ownership that you can showcase in future applications

Ideal For

• Master's students looking for a challenging, hands-on internship experience
• Working students who can commit 50%-100% time flexibly
• Recent graduates wanting to bridge academic knowledge with industry application
• Anyone passionate about turning data into actionable business insights

Ready to Make an Impact?

If you're excited about owning a real project that affects actual business operations while learning cutting-edge AI techniques, we'd love to hear from you.

Apply now: Email us at [email protected]

• Include "Data Science Intern" in your subject line
• Share examples of your data science work (GitHub repos, projects, or academic work)
• Tell us about a data problem you've solved and what insights you discovered
• Tell us about your availability and preferred commitment level (50%-100%), plus your intended duration (minimum 4 months, ideally 6+ months)