Job Description

About Olam

Olam Agri supplies food, feed and fiber to meet rising demand and a shift to protein-based diets, particularly in Asian and African countries. Headquartered in Singapore and present on all continents, our value chains include farming, processing and distribution operations, as well as a sourcing network of an estimated 2.5 million farmers. Our teams have built leadership positions in many Olam Agri businesses, including rice, flour, animal feed, sesame, cotton, wood, and more. As a purpose-driven company, we aim to contribute positively to the prosperity and well-being of people along our supply chains, the protection and regeneration of our natural resource base, and the fight against climate change.

• Create models to perform complex Life Cycle Assessments in the context of wide-ranging projects within the own estates and supply chains
• Collaborate with the carbon action manager to acquire accurate data for models covering e.g. climate, water, soils, energy use, full life cycle of agri crops in a broad range of products and production systems as well as geographic origins.
• Support other members of Environmental team with research and analysis of compliance vs voluntary carbon markets (e.g. Nationally Determined Contributions) in key production origins
• Identify inconsistencies with data and resolve issues, capturing issues for learning purposes
• Perform calculations on GHG removals according to relevant methodology and develop prediction models to quantify improved land-management practices in Agriculture and hence support the development of visual materials that illustrate findings and results from large amounts of data in the form of presentations and reports.
• Work in collaboration with Carbon action manager and support data analysis during PDD (project design document) development for any carbon projects
• Staying abreast of trends and best practices in data mining and analytics, impact metrics and GIS, especially with applications for sustainable agriculture, monitoring land use change, and assessing social impact.

Requirements

• Master\'s or equivalent experience in data analytics, statistics, environmental analytics, data science or equivalent quantitative research experience if she/he has a different academic background.
• A personal passion for sustainable agriculture and food systems
• Demonstrated ability to work with large volumes of data.
• Excellent analytical skills applying various LCA software. We would expect extensive experience in one of the main tools, including GaBi, OpenLCA or SimaPro, etc., and advanced competency in Microsoft Excel
• Ability to work closely with other data analysts, collaborating on data needs and acquisition.
• Understanding of Machine Learning frameworks, tools, and algorithms are desirable.
• Strong leadership and interpersonal skills, with a proactive, solution-oriented and innovative mindset
• Critical thinking skills, organizational skills, and the ability to design and manage programs.
• On-the-ground experience and a good understanding of agri-business models and success factors are highly desirable
• Willing to occasionally travel to remote operational areas.
• 4-6+ years of relevant professional experience

Olam is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, nationality, disability, protected veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law.

Applicants are requested to complete all required steps in the application process including providing a resume/CV in order to be considered for open roles.

Olam