Overview
This internship offers the opportunity to work at the intersection of data engineering, analytics, and commodity market research. You will help build a robust pricing dashboard and analytical tools that support decision-making in global sugar markets. If you enjoy solving complex data problems and want exposure to real-world trading analytics, this role provides an excellent blend of technical and industry experience.
What You’ll Get Out of This Internship
- Hands-on experience building dashboards using Python, Plotly/Dash, and backend computation workflows
- Exposure to commodity pricing, arbitrage modelling, and cross-market analytics
- Opportunities to work with international teams across technology, research, and product functions
- A diverse and inclusive work culture that prioritizes learning, professional growth, and team engagement
- Access to training programs, hybrid work options (role-dependent), and a comprehensive benefits environment
Key Responsibilities
- Build and refine a unified Prices Dashboard using Dash Enterprise, integrating live and historical datasets
- Implement backend logic for price analytics, market trend indicators, spreads, and basis analysis
- Support the development of tools for arbitrage modelling, including import comparisons, trade-off analysis, and domestic market indices
- Assist in creating cross-commodity comparison visuals and sensitivity analysis features
- Extract, clean, and prepare data from multiple sources such as APIs, spreadsheets, and databases
- Detect and address missing data, anomalies, and quality concerns to maintain reliable datasets
- Collaborate with developers, analysts, and product leads to align functionality with business needs
- Document processes, methodologies, and data assumptions clearly
- Present analytical findings and dashboard outputs to stakeholders in a digestible, business-friendly format
Requirements
- Pursuing a degree in Computer Science, Data Science, Engineering, Economics, Finance, or a related technical field
- Proficient in Python and experienced with Dash, Plotly, or similar tools for data visualization
- Strong analytical skills, including numerical computation and backend development experience
- Familiarity with financial or commodity markets is beneficial, though not required
- Able to work independently while collaborating effectively within a fast-paced, international team
- Strong communication skills, with the ability to explain technical work to non-technical audiences
Who This Internship Is Ideal For
This role is great for students who love working with data and want to see how analytics directly supports real-world trading and commodity decisions. If you enjoy building dashboards, automating workflows, or exploring financial/market datasets, you’ll find this experience both challenging and rewarding.
Internship Details
- Duration: January 2026 – June 2026
- Work Model: Hybrid work arrangement (based on role availability)
- Training & Development: Access to internal courses, mentorship, and ongoing skills development
- Additional Perks: Inclusive culture, team events, flexible benefits, and comprehensive insurance coverage
