Impact-Driven Data Scientist - Agriculture & Nature Analytics

McKinsey & Company; Lisboa; Presencial; EUR 70 000 - 110 000; Tempo integral

Resumo da oferta

McKinsey & Company’s Agriculture Practice and the Nature & Natural Capital Service Line seek a skilled data scientist to join the ACRE team in Brussels. You will leverage geospatial analytics and AI to help agribusiness, government, and investors through real-time insights and predictive models.

You will split time across client work and expanding ACRE’s core analytics offerings, collaborating with senior leaders and global colleagues. Travel up to 50% will be required.

Qualificações

• Master’s degree in a quantitative field related to agriculture or nature.
• Experience in agronomy, biodiversity, or related topics is preferred.
• Strong geospatial analysis and data processing skills.
• Proficiency in Python and cloud-based workflows.
• Ability to design scalable geospatial pipelines and collaborate in an Agile team.
• Excellent problem-solving and communication abilities.
• Willingness to travel up to 50%.

Responsabilidades

• Apply real-time data and analytics to agricultural and nature-related problems.
• Work with client service teams and the ACRE group to strengthen core analytics offerings.
• Deliver impact remotely or on-site while developing advanced AI/geospatial solutions.

Conhecimentos

Quantitative master's

Geospatial analysis

Python programming

Geospatial workflows

Agile teamwork

Formação académica

Master’s in quantitative agriculture or nature-related field

Ferramentas

Geospatial tools

Cloud computing

Version control

Descrição da oferta de emprego

McKinsey & Company’s Agriculture Practice and the Nature & Natural Capital Service Line seek a skilled data scientist to join the ACRE team in Brussels. You will leverage geospatial analytics and AI to help agribusiness, government, and investors through real-time insights and predictive models.

You will split time across client work and expanding ACRE’s core analytics offerings, collaborating with senior leaders and global colleagues. Travel up to 50% will be required.