Modeling Scientist - Agriculture

We have an exciting opportunity for a Modelling Scientist to join our Global Data Analytics & Predictive Science Team! Within this role you will create, train and validate predictive models to uncover patterns and deliver new data-driven insights for active ingredient development across R&D functions.

Requirements

• Strong foundations in data-driven predictive modelling at postgraduate level (Ph.D. in physics, mathematics or related theoretical sciences)
• Years of experience in the use of the main data-science, -analytics, modelling and visualization Python libraries (Pandas/Polars, SciPy, MatPlotLib)
• Scientific domain knowledge in related fields such as biology, (bio)chemistry, environmental sciences
• Prior experience in developing models relevant to biological or crop protection outcomes (e.g. ecological modelling, ecotoxicology, environmental fate, epidemiology, disease modelling, PKPD) is a plus
• Knowledge of data analysis and extracting data insights and new understanding, while communicating scientific and data concepts to specialist and non-specialist audiences
• Adaptability to different business challenges and data types / sources and to learn and utilize a range of different analytical tools and methodologies
• Ability to visualize and story-telling with data to communicate results to shareholders with different levels of technical proficiency
• Analytical problem-solving skills with innovative thinking, while effectively collaborating across diverse teams and managing multiple priorities in a multicultural scientific environment

Benefits

• Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance (depends on the contracting country)
• Flexible working
• A position which contributes to valuable and impactful work in a stimulating and international environment
• Learning culture and a wide range of training options