Intern Jobs

About The Position

Requirements

• Currently pursuing a bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics, or a related field, with an expected graduation date between Fall 2027 and Summer 2028.
• Proficiency in Python for data processing, analysis, and machine learning, including experience with pandas, NumPy, and scikit-learn.
• Strong foundation in statistics, exploratory data analysis, feature engineering, and machine learning fundamentals.
• Experience working with structured datasets and using SQL to query, manipulate, and analyze data.
• Ability to analyze technical results and clearly communicate findings to technical and non-technical audiences.
• Applicants must be eligible to access export-controlled information under applicable law; some applicants may be subject to an export license review process.

Nice To Haves

• Experience developing and evaluating predictive models using regression, classification, decision trees, random forests, or gradient boosting.
• Experience developing and evaluating predictive models using LLM inference, embedding models, SVM, or XGBoost.
• Familiarity with Git or similar source-control and collaborative development tools.
• Prior academic, research, or project experience using real-world datasets to develop machine learning or predictive analytics solutions.

Responsibilities

• Clean and prepare historical business data for analysis and machine learning, identifying and resolving quality issues, inconsistencies, and missing values.
• Analyze historical datasets to identify trends, relationships, outliers, and features relevant to predictive performance.
• Develop and train machine learning models in Python using established data science libraries to predict business outcomes.
• Evaluate and compare modeling approaches using appropriate statistical and machine learning techniques to assess accuracy and reliability.
• Document and present methodology, model performance, findings, and recommendations to the Business Automation team and business stakeholders.

Benefits

• Medical, dental, and vision coverage.
• Perks and discounts.
• Mental health resources.
• Paid holidays.