Internship - Engineering Cost Process Optimization

Company Description

Syngenta Group, a global leader in agricultural technology and innovation, employs 60,000 people across more than 100 countries to transform agriculture through tailor-made solutions for farmers, society, and our planet. Our diverse portfolio encompasses seeds, crop protection, nutrition products, agronomic solutions, and digital services, all designed to help farmers produce healthy food, feed, fiber, and fuel while conserving natural resources and protecting the environment. Our mission is to address critical challenges such as climate change and food security through sustainable practices and cutting-edge solutions, while safeguarding the planet's resources. 

Syngenta Crop Protection, the largest Syngenta Group unit, leads in sustainable farming solutions, offering innovative products to keep crops healthy while minimizing environmental impact, from planting to harvest.

Syngenta Seeds, a leading developer and producer of Field Crops, -Vegetable, - and Flower Seeds, is part of Syngenta Group. We bring farmers more vigorous, stronger, resistant plants, including innovative hybrid varieties and biotech crops.

Syngenta has been ranked as a top employer by Science Magazine and it has been awarded with the "Friendly Work Space" label to all its Swiss sites.

Job Description

Duration : 6 months

Purpose :

Support the Europe Engineering Group in optimizing project cost processes through the application of digitalization tools and generative AI technologies, enhancing efficiency and innovation in project management practices.

Responsibilities :

• Analyze and improve engineering and cost management project processes
• Research and benchmark AI tools for engineering and cost management applications
• Develop proof-of-concept AI applications for project efficiency improvement
• Implement machine learning models for cost prediction and project timeline enhancement
• Create monitoring dashboards for project and cost control
• Assist in developing AI integration guidelines for existing workflows

Qualifications

• Pursuing a degree in Computer Science, AI, Engineering, Project Management, or related field
• Programming skills (Python, SQL)
• Familiarity with machine learning concepts and frameworks
• Basic understanding of engineering processes and project management
• Internship or project experience in AI, engineering, or project management is preferred
• Excellent data analysis and visualization skills

Additional Information

We offer a variety of financial and non-financial benefits including: 

• We offer a position which contributes to valuable and impactful work in a stimulating and international environment  
• The opportunity to make a difference to process safety, both within Syngenta’s global operations, and in shaping safety legislation and culture worldwide
• A superb working environment with an open culture and diverse workforce where new ideas are always welcome 
• 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 
• You will profit from a competitive pension fund plan, flexible working, attractive bonus system, onsite doctor, fitness room, canteen, and other benefits (Family friendly initiatives, Child and Family allowance…) 

 Please send your complete application with CV, diploma and work certificates (if applicable) in ENGLISH.

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.