Internship Digital Chemistry Bayesian optimisation

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. Youll 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 organizations 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

Qualifications :

• BAC5 student Masters 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 companys international environment an intermediate level of written/read English (email exchanges meetings technical documents...) is required at minimum.
• Valid drivers 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 Syngentas 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.

Remote Work :

No

Employment Type :

Contract