Internship Digital Chemistry Bayesian optimisation

Syngenta propose un stage en chimie numérique à Bâle. Ce rôle offre une expérience précieuse dans un environnement dynamique.

Tâches

• Développer des modèles prédictifs pour optimiser les processus.

• Collaborer avec des équipes internationales sur des projets concrets.

• Analyser des données de production afin d'anticiper les coûts.

Compétences

• Étudiant BAC+5 en Data Science, maîtrise de Python et SQL.

• Compétences en analyse de données et modélisation statistique.

• Capacités de communication et esprit d'équipe.

Internship Digital Chemistry Bayesian optimisation

Syngenta

Workplace Basel, North West Switzerland, Switzerland Category

Agronomy & Food Science | Environment

Position

Trainee

Published 25 August 2025

Internship Digital Chemistry Bayesian optimisation

• __vacancyopjusttionswidget.opt- Brand__ Syngenta Crop Protection

• Location: 4332 Stein

• Function Research Chemistry

This vacancy has expired

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Job description

Join our Data Manufacturing Excellence and Chemistry Research teams as a Data Analytics Intern. We offer two internships: one optimizing global production processes for cost and sustainability, and another enhancing chemical target selection in research.

Both projects use cutting-edge Bayesian statistical modeling techniques to improve decision-making. You’ll develop predictive models to boost manufacturing efficiency and candidate selection accuracy.

This opportunity provides exposure to real-life data from research and production, involves high-impact projects on operational efficiency and sustainability, and offers insight into a large organization’s research and manufacturing operations.

Ideal for those passionate about data analysis, data science, and development.

Planned duration of the internship:4-6 months, start date will be negotiated later (flexible)

Main Responsibilities

• Work with Research and Production departments

• Develop a methodology to optimize cost, sustainability impact and chemical yield

• Work on a concrete case study, on one of our Active Ingredient currently on market

• Identify key drivers of chemical process to be optimized

• Analyze variable production cost data from 5 international manufacturing sites based in UK, Switzerland, France, USA & Brazil

• Develop predictive models to anticipate cost variations

• Build predictive models in R or Python (eg using PyMC and SciPy optimize packages for Bayesian inference)

• Create and maintain data flows and interactive dashboards to visualize variable product cost KPIs

• Participate in the development of decision support tools for cost optimization

• Collaborate with international teams to standardize data collection and analysis practices

• Make larger analysis on other sites including 5 sites in UK, Switzerland, France, USA & Brazil

Company Description

As a world market leader in crop protection, we help farmers to counter these 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.

Qualifications

• BAC+5 student, Master’s or Engineering School, specialized in Data Science, you are looking for a 6-month end-of-year internship.

• You have knowledge of programming languages, Python, SQL

• Familiarity with machine learning concepts and statistical analysis

• Proficiency in Microsoft Office suite and statistical methods is required

• Rigorous and organized, you respect quality/deadline constraints and know how to adapt your work organization according to the priorities given.

• Good communicator and naturally curious, you easily discuss the progress of your activities, the problems encountered and work in a spirit of continuous service improvement.

• Your interpersonal skills allow you to integrate easily into teams.

• Given the company’s international environment, an intermediate level of written/read English (email exchanges, meetings, technical documents...) is required at minimum.

• Valid driver’s license required for site access.

Additional Information

What we offer

• An international experience in a multicultural environment

• Exposure to concrete large-scale cost optimization projects

• Possibility to publish on methodologies utilized while keeping confidential information on Syngenta knowledge

• Mentoring by data experts

• Opportunity to travel to different production sites

Interested?We are looking for your application! Along with your Cover letter and CV please provide a Research Summary of 2-5 pages.

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.

Health Promotion Switzerland recognizes Syngenta’s commitment to the health and well-being of its employees and awards the "Friendly Work Space" label to all its Swiss sites. At Syngenta, employee health and well-being are key to the company.

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