Description

At AccuWeather, 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 AccuWeather's Headquarters in State College, PA.

Requirements

KEY RESPONSIBILITIES

• 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.  
    

QUALIFICATIONS 

• 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.