Applied Meteorologist Intern

At Accu Weather, we are at the center of scientific innovation, combining meteorological and atmospheric sciences with cutting-edge AI to develop groundbreaking weather-related products and services. We are seeking a passionate and ambitious Applied Meteorologist Intern to join our Data Science team. This role offers a unique opportunity to work on real-world projects that leverage advanced analytics, machine learning, and meteorological expertise to improve forecasts and deliver actionable insights to millions of users worldwide.

This internship is for spring/summer 2026 and can either be remote or based out of Accu Weather's Headquarters in State College, PA.

• Execute QA/QC processes on meteorological datasets, ensuring data integrity, consistency, and readiness for modeling and research applications.
• Develop and maintain comprehensive documentation for data workflows, verification methodologies, and quality control procedures.
• Collaborate with meteorologists, data scientists, and data engineers to integrate data into predictive models and enhance forecast performance.
• Perform lightning verification analysis to evaluate accuracy and identify areas for improvement.
• Prepare clear data visualizations and summary reports to effectively communicate findings to internal stakeholders.
• Provide analytical support in diagnosing data inconsistencies and contribute to corrective initiatives to uphold data integrity and quality.
• Research and explore the latest developments in atmospheric science to share broadly with team members.
• Participate in team meetings and contribute to project planning discussions to align tasks with broader organizational goals.
• Performs other duties as assigned.

• Currently pursuing a degree in meteorology, atmospheric science, environmental science, or a closely related field.
• Strong understanding of fundamental meteorological concepts, including atmospheric dynamics and observational data interpretation.
• Strong proficiency using data analysis tools (i.e. Python, SQL, or similar) for handling and visualizing meteorological datasets.
• Ability to work collaboratively in a team environment.
• Familiarity with verification and QA/QC processes.
• Strong analytical and problem-solving abilities.
• Detail-orientated with a focus on data accuracy and integrity.