Data Science Intern

The Louis Dreyfus Company Internship Program 2025 is a sixmonth program that provides students an opportunity to gain handson experience in commodity trading industry. The program is designed to equip interns with foundational knowledge and professional skills in one of the companys business platforms.

As a Data Science Intern you will be introduced to and become an integral part of our Sugar Research Team. You will work with experienced professionals in Sugar 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.

Internship duration:

• Between May to Aug 2025

Main Responsibilities:

1. AI Framework Development:
   • Develop and implement AIdriven frameworks to analyse and predict key market factors
   • Develop and deploy AI solutions using Python libraries (such as Pandas Matplotlib and Plotly) or Power BI ensuring they are productionready and scalable
   • Explore and experiment with agentbased frameworks and other AI methodologies
2. Data Integration and Cleaning:
   • Extract transform and load (ETL) data from various sources (e.g. APIs databases spreadsheets)
   • Clean and preprocess data to ensure accuracy and consistency
   • Handle missing values outliers and data quality issues
3. Market Data Analysis:
   • Use AI frameworks to analyze market data including commodity prices and production financial indicators and macroeconomic trends
   • Identify patterns correlations and anomalies
   • Collaborate with data scientists analysts and business stakeholders to identify applications that are beneficial via prediction AI modeling
4. Collaboration:
   • Work closely with crossfunctional teams to understand business requirements
   • Collaborate with developers designers and product managers to integrate dashboards into existing systems
5. Documentation and Communication:
   • Document your work including data sources methodologies and assumptions
   • Present findings and insights to stakeholders in a clear and concise manner

Requirements:

• Education: Bachelors or Masters Degree in Computer Science Data Science Mathematics Statistics Information Systems Engineering or related field of study
• Technical Skills:
  • Proficiency in Python for data manipulation visualization and dashboard development
  • Familiarity with Power BI 
  • Familiarity with AI Agentic Frameworks and Machine Learning Operations principles and practices
  • Willingness to learn software development best practices
  • Knowledge of data cleaning techniques and best practices
  • Interest in ETL processes data modelling warehousing
• Analytical Mindset:
  • Ability to analyze complex data sets and derive meaningful insights
  • Strong problemsolving skills
  • Attention to detail
• Communication Skills:
  • Excellent verbal and written communication skills
  • Ability to explain technical concepts to nontechnical 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 :

Interested candidates are invited to submit their resume including internship experiences and a brief cover letter explaining their interest in the Data Science Intern at Louis Dreyfus Company.

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

Remote Work :

No

Employment Type :

Intern