Data Science Intern

First Solar reserves the right to offer you a role most applicable to your experience and skillset. 

Basic Job Scope:

• Leading the world’s sustainable energy future, At First Solar, interns play a vital role in shaping the future of sustainable energy. Opportunities are available across various departments including research and development, marketing, project development, information technology, engineering, and energy services. Interns gain hands-on, real-world experience and are challenged daily to solve meaningful problems. You’ll have the chance to explore innovative solutions, develop new skills, and contribute to impactful projects that align with our mission. First Solar fosters a culture of collaboration and innovation, encouraging team members to take smart risks, learn from setbacks, and continuously improve. Interns are expected to take ownership of their work and demonstrate accountability while working toward a cleaner energy future.

Expected Length of Internship: 

• 3 months, Spring 2027

• As an internship company, we allow flexibility to enroll in classes while working as an intern, if it doesn’t interfere with the essential functions of the position.

Education/Experience:

• Must be pursuing Engineering, Mathematics, Data Science, Computer Science, or a related field degree.   

• Must currently be enrolled in a Bachelors (3rd year or later), who is fulfilling a graduation requirement for their degree. 

• First Solar encourages all interns to register their internship with their university.

• 2+ years collaboration in a team setting at school or work. 

• Course work in mathematics and statistics. 

• Course work in computer programming or data science.  (Python scripting language and SQL preferred) 

• Previous project experience with data analysis and modelling. 

Required Skills/Competencies:

• Ability to review coding manuals to learn new syntax independently. 

• Ability to review and understand the purpose of existing scripts. 

• Ability to create reports/plots, analyze trends, and provide insights.  

• Proficiency in Python or R for data analysis and machine learning. 

• Familiarity with SQL for data querying and manipulation. 

• Robust knowledge and experience with statistical methods.