Data Scientist Intern (Fall 2026)
First Solar interns work around the globe in research and development, marketing, project development, information technology, engineering, energy services, and more. As an intern, you will be challenged daily and provided real-world experience, with opportunities to find new solutions and develop new skills. The internship fosters a culture of innovation through collaboration, smart risk-taking, learning from failures, and personal accountability.
About the role
This is a 3-month internship or longer, with flexibility to enroll in classes as long as it doesn’t interfere with the essential functions of the position. Interns are encouraged to register their internship with their university.
- Develop and deploy analytical, optimization, and machine-learning models to support supply chain planning, execution, and optimization.
- Apply AI and LLM-enabled techniques to accelerate insight generation, scenario analysis, and decision support.
- Quantify performance gaps and improvement opportunities.
- Automate data ingestion, transformation, analysis, and reporting from enterprise systems.
- Translate analytical outputs into executive-ready insights.
- Contribute to digital transformation and continuous improvement programs by embedding analytics and AI into day-to-day decision-making.
- Present accomplishments and project summary to the leadership team upon completion.
Requirements
- Bachelor’s degree in Data Science, Industrial Engineering, Operations Research, Supply Chain, Applied Statistics, Computer Science, or a related field; or a Master’s degree in a related field.
- Proficiency in Python, R, SQL, and advanced analytics tools.
- Working knowledge of AI and Generative AI concepts, including LLMs, embeddings, prompt design, and retrieval-augmented generation (RAG) for analytical and decision-support use cases.
- Strong experience with data visualization and storytelling tools.
- Working knowledge of machine learning, statistical modeling, and optimization techniques.
- Familiarity with Lean, Kaizen, and continuous improvement methodologies.
- Comfort working in cloud and enterprise data environments (e.g., Azure, data warehouses, APIs, ERP/SCM systems).
Pay
Estimated hourly range: $30.00 - $31.00/hr.
Physical Requirements
This office-based role requires interaction with people and technology while either standing or sitting. All associates must be able to communicate face-to-face and on the phone with or without reasonable accommodation.