Intern - Programming Logistics
About The Position
Are you passionate about using technology to solve real-world supply chain challenges? Do you want to build digital tools that drive measurable business impact while supporting environmental sustainability? Veolia Water Technologies is seeking a Programming Logistics Intern to join our Chemical Logistics and Asset Management team for 2026. This role offers a unique opportunity to work on cutting-edge digital transformation projects that integrate data science, predictive analytics, and automation to optimize our chemical delivery operations across North America. About the Team: Our team manages Veolia's internal fleet, delivering sustainable products to our customers across North America in an array of different industries from Hospitals to refineries, and data centers. We've pioneered innovative digital solutions that transform logistics operations through data-driven decision-making. 2025 Accomplishments You'll Build Upon: Overage Prediction Tool: Python-based predictive analytics system that reduced chemical delivery overages by 50%, preventing waste ChemSure Live Truck Tracking App: Real-time GPS tracking application serving 750+ sales reps across North America, providing live delivery visibility, driver contact information, and order status ChemSure Tank Sizing Tool: SAP-integrated digital platform that automates tank sizing calculations, generates customer quotes with technical drawings, displays freight cost impacts, and calculates CO2 emission reductions Tote Asset Recovery System: Tableau-based tracking solution that recovered $1.14M in field assets (300 totes) and established sustainable asset management processes Working at Veolia means helping people. Our careers have purpose and are vital to everyday quality of life. Veolia’s mission is to resource the world, and we hope you will join us! What Your Day Might Look Like: Develop Predictive Analytics Solutions: Build and refine Python-based algorithms that analyze logistics data from SAP, Salesforce CRM, and our data warehouse to predict operational challenges and automate proactive interventions Create Customer-Facing Applications: Design and deploy web/mobile applications using JavaScript and Google Cloud Platform that provide real-time visibility into delivery operations for our sales team and customers Integrate Multi-Platform Data: Connect disparate data sources (ERP, CRM, ELD systems, production databases) to create unified dashboards and automated reporting systems using SQL and data visualization tools Optimize Fleet Operations: Enhance route optimization algorithms, analyze tank capacity predictions, and develop tools that reduce freight costs, minimize environmental impact, and improve delivery reliability Drive Continuous Improvement: Identify opportunities for waste reduction, cost optimization, and process improvement through data analysis and creative problem-solving Collaborate Cross-Functionally: Work closely with logistics planners, sales teams, and IT professionals to understand business requirements and translate them into scalable technical solutions Support Digital Transformation: Help transition analytical prototypes into enterprise-ready solutions that can scale across our North American operations
Requirements
- Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related technical field
- Rising juniors, seniors, or graduate students preferred
- Programming: Strong proficiency in Python (preferred) for data analysis, automation, and algorithm development; JavaScript experience for UI/application development is a plus
- SQL: Demonstrated ability to query, navigate, and manipulate data from relational databases and data warehouses
- Data Visualization: Hands-on experience with Tableau or Power BI for creating interactive dashboards and reports
- Google Cloud Platform: Experience with cloud functions, virtual machines, APIs , or low/no-code platforms like AppSheet
- SAP or ERP Systems: Any level of familiarity with enterprise resource planning systems, particularly SAP modules
- Version Control: Experience with Git/GitHub for code management and collaboration
- API Integration: Understanding of RESTful APIs and data integration techniques
- Strong project management and organizational skills
- Results-oriented mindset with focus on measurable business impact
- Excellent written and verbal communication abilities
- Prior internship or project experience in data analytics, software development
- Interpret Complex Data: Understand the business context behind the data to develop meaningful solutions
- Communicate Technical Concepts: Explain technical solutions clearly to non-technical stakeholders
- Think Critically: Approach problems analytically and develop creative, data-driven solutions
- Work Independently: Manage projects with minimal supervision in a remote/hybrid environment
- Collaborate Effectively: Partner with cross-functional teams including logistics, sales, IT, and operations
- Adapt Quickly: Thrive in a fast-paced environment with evolving priorities and challenges
- Demonstrate Initiative: Proactively identify improvement opportunities and propose innovative solutions
Responsibilities
- Develop digital solutions to integrate data from multiple platforms (SAP, ERP, CRM, ELD systems, and production databases) and create models for operational optimization
- Data Integration: Create automated reporting systems connecting logistics and production data to support strategic decision-making
- Continuous Improvement: Identify opportunities for waste reduction, cost optimization, and process improvement for logistics operations
- Work closely with planning team to understand chemical processes and translate into optimization algorithms and predictive models
- Collaborate with IT teams to ensure transition of analytical tools into enterprise solution
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What This Job Offers
Career Level
Intern
Number of Employees
5,001-10,000 employees
