Internship Program, Data Science at LOUIS DREYFUS COMPANY ASIA PTE LTD

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

30 Jan, 26

Salary

0.0

Posted On

01 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Data Manipulation, Data Modeling, Data Analytics, Visualization, Automation, Dashboard Development, Machine Learning, Time Series Analysis, ETL Processes, Data Warehousing, PowerBI, Dash, Analytical Mindset, Problem-Solving

Industry

Food and Beverage Manufacturing

Description

Company Description Louis Dreyfus Company is a leading merchant and processor of agricultural goods, leveraging on our global reach and extensive asset network to deliver for our customers around the world – safely, responsibly, and reliably. Our strategic asset portfolio spans the whole agricultural value chain and is currently present in more than 50 countries worldwide where we operate 10 different business platforms. The Louis Dreyfus Company Internship Program 2026 is a six-month program that provides students an opportunity to gain hands-on experience in commodity trading industry. The program is designed to equip interns with foundational knowledge and professional skills in one of the company’s business platforms. As a Data Science Intern, you will be introduced to and become an integral part of our research team. You will work with experienced professionals in research team and interact with colleagues to gain insight into the commodity industry. You will be given the opportunity to collaborate with various stakeholders to develop your own sense of the working environment in the business platform. Job Description Main Responsibilities: Modeling & AI Innovation: Improve existing production models and investigate new approaches to strengthen the reliability and resilience of these models. Analyze tanker datasets to support supply & demand modeling and trading strategy development. Implement AI-driven frameworks, including agent-based methodologies, for predictive analytics and global product flow analysis. Data Integration & Quality: Extract, transform, and load data from diverse sources (APIs, databases, spreadsheets). Clean and preprocess data to ensure accuracy, consistency, and resolve quality issues. Technical Development: Develop, refactor, and maintain ETL pipelines to ensure robust data flow and integration. Create scalable and reliable Python software solutions, emphasizing automation and workflow scheduling for improved efficiency. Uphold high quality standards through CI/CD practices, automated testing, and peer reviews. Collaboration & Communication: Work closely with cross-functional teams (data scientists, trading teams, developers, product managers) to understand business requirements and deliver integrated solutions. Document methodologies and present findings clearly to stakeholders, facilitating knowledge transfer and informed decision-making. Qualifications Education: Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Technical Skills: Proficiency in Python for data manipulation, data modeling, data analytics, visualization, automation, and dashboard development. Proficiency in SQL for data querying and manipulation. Familiarity with AI agentic frameworks or willingness to learn. Understanding of Machine Learning techniques and Time Series analysis. Knowledge of data-related best practices and Microsoft Excel. Interest in ETL processes, data modelling, warehousing. Good to have: Experience with PowerBI and/or Dash. Analytical Mindset: Ability to analyze complex data sets and derive meaningful insights. Strong problem-solving skills. Attention to detail. Communication Skills: Excellent verbal and written communication skills. Ability to explain technical concepts to non-technical stakeholders. Other Skills & Knowledge: Willingness to work both independently and collaboratively in a team environment. Interest and knowledge in Data Science, Research within agricultural commodity sector is a plus. Additional Information Internship duration: Between January 2026 to June 2026 Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. We offer A workplace culture that embraces diversity and inclusivity Regular events that foster team engagement Access to Training and Development Hybrid work arrangement offered (availability varies by role). Comprehensive insurance coverage and flexible benefits

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Responsibilities

As a Data Science Intern, you will improve existing production models and analyze tanker datasets to support supply and demand modeling. You will collaborate with cross-functional teams to develop integrated solutions and present findings to stakeholders.