Data Scientist Intern

About the Role

The Data Science Intern will work closely with members of the Data Science team and collaborate with Engineering and other departments. The Data Scientist Intern will contribute to data analysis and data science projects throughout the project lifecycle.

Key Responsibilities

• Assist Data Scientists with collecting, cleaning, transforming, and validating data for analysis and modeling.
• Perform exploratory data analysis (EDA) to identify patterns, trends, relationships, anomalies, and potential data quality issues.
• Apply statistical methods to investigate business questions and support data-driven decision-making.
• Assist with developing, testing, and evaluating machine learning models using techniques such as regression, classification, and clustering.
• Evaluate model performance using appropriate metrics and assist with comparing modeling approaches.
• Write and maintain Python and SQL code used for data extraction, transformation, analysis, and modeling.
• Create clear visualizations, dashboards, reports, and summaries that communicate analytical findings to technical and non-technical audiences.
• Assist with monitoring and evaluating existing analytical models and data science solutions.
• Document analytical methods, assumptions, data definitions, model results, and project findings to support reproducibility and knowledge sharing.
• Collaborate with Data Science, Engineering, and other departments to understand business questions and translate them into analytical tasks.
• Participate in code reviews, project discussions, technical learning activities, and other team development opportunities.
• Research data science, machine learning, artificial intelligence, and analytical methods that may be relevant to company projects.
• Present project findings and recommendations to team members and other stakeholders when appropriate.
• Engage in weekly professional development sessions as part of the summer internship cohort.
• Perform other related duties as assigned.

Requirements & Tech Stack

• Python
• SQL
• Datasets
• Statistics
• Data analysis
• Machine learning
• pandas
• NumPy
• scikit-learn
• Matplotlib
• MySQL (familiarity)
• Version control tools like Git (familiarity)
• Cloud computing, generative AI, large language models (exposure beneficial)
• Analytical thinking and problem-solving skills
• Attention to detail
• Ability to manage multiple tasks, prioritize work, and meet deadlines
• Ability to work independently while seeking guidance when appropriate
• Ability to collaborate effectively within a multidisciplinary team
• Strong written, verbal, listening, and presentation skills
• Service-oriented mindset
• Demonstrated interest in applying data science and analytical methods to real-world problems
• Willingness to learn new technologies, analytical techniques, and business domains.

Qualifications

• Currently pursuing an undergraduate degree in data science, computer science, business analysis, statistics, or related field.
• Coursework or project experience involving Python, SQL, statistics, data analysis, or machine learning.
• Experience working with datasets through coursework, personal projects, research, internships, or other relevant activities.
• Successful completion of a background check and current and/or ability to obtain the following clearances: Child Abuse, State Police, and FBI Fingerprinting.
• Understanding of fundamental statistical concepts, including descriptive statistics, probability, hypothesis testing, correlation, and regression.
• Basic understanding of machine learning concepts and common supervised and unsupervised learning techniques.
• Ability to clean, transform, explore, and analyze structured datasets.
• Ability to create meaningful data visualizations and communicate analytical results.
• Curiosity and willingness to investigate data and ask meaningful questions.
• Ability to interpret analytical results and explain findings clearly.
• This is a summer internship, full-time position.
• Location: Chippewa Township, PA (requires attendance at the office)
• Compensation: Hourly ($16)
• Work Schedule: Typically Mondays to Fridays, 7 a.m. to 5 p.m.
• No travel outside of the office is required.