Ihre Aufgaben
As a world market leader in crop protection, we help farmers to counter threats and ensure enough safe, nutritious, affordable food for all – while minimizing the use of land and other agricultural inputs.
Syngenta Crop Protection keeps plants safe from planting to harvesting. From the moment a seed is planted through to harvest, crops need to be protected from weeds, insects, and diseases as well as droughts and floods, heat, and cold.
Syngenta Crop Protection is headquartered in Switzerland.
Are you passionate about leveraging data to solve complex challenges? Do you have a strong analytical mindset and a desire to apply cutting-edge data science techniques in a real-world setting? If so, Syngenta is offering an exciting opportunity for you to join our team as a Data Science Intern.
This internship offers a unique opportunity to contribute to our Global Process Technology Digitalization Strategy while driving business value through data analysis. You will be responsible for automating data analysis, creating data-driven insights and visualizations, and leading the implementation of data science projects. If you are a problem solver with strong analytical skills and a passion for data science, this internship is for you
Accountabilities:
- Lead the implementation of data science prototypes and projects, supporting our digitalization initiatives.
- Support the development of automatic data collection and experiments protocoling tools to streamline data analysis processes.
- Assist in automating data analysis in laboratories and production plants, improving efficiency and accuracy.
- Visualize and communicate analytical findings to both technical and non-technical stakeholders.
- Contribute to promoting a culture of digitalization and automation in laboratory and production environments.
- Bachelor’s or Master’s degree in (Chemical) Engineering, Computer Science, or Data Science, or a related field.
- Proficiency in Python programming language, including experience with PyTorch, pandas, and Hugging Face.
- Hands-on experience in machine learning projects, demonstrated through GitHub repositories, medium posts, deployed applications, or other relevant work.
- Knowledge of data storage and processing technologies, such as SQL databases and data lakes.
- Experience in project management and the ability to work independently and collaboratively.
- Excellent proficiency in English, with proficiency in German, French, or other languages as a plus.
- We offer a position which contributes to valuable and impactful work in a stimulating and international environment
- A superb working environment with an open culture and diverse workforce where new ideas are always welcome
- Hybrid work; part on-site (Muenchwilen), part home-office.
- The opportunity to work with and learn from highly qualified and experienced employees and gain scientific and technical excellence
- Learning culture (Together we Grow) and wide range of training options
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.