Data Science Intern

Description

• Collaboration & Documentation: Work closely with product teams to understand business requirements and translate them into technical solutions. Document processes, models, and findings clearly for both technical and non-technical audiences.
• Engineering & Deployment: Collaborate with data engineers and machine learning engineers to integrate models into production environments. Contribute to building scalable pipelines for data ingestion, feature engineering, and model deployment.
• Model Development & Evaluation: Design, implement, and train machine learning models for predictive and classification tasks. Evaluate model performance using appropriate metrics and optimize for accuracy and efficiency.
• Data Preparation & Analysis: Collect, clean, and pre-process structured and unstructured data for modeling and analysis, Perform exploratory data analysis to identify patterns, trends, and anomalies.

Requirements

• Strong interest in data science and AI, with a willingness to explore emerging tools and technologies.
• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Statistics, Mathematics, or a related field.
• Basic understanding of machine learning concepts and data science fundamentals (e.g., data preprocessing, model basics, evaluation metrics).
• Good communication and collaboration skills.
• Familiarity with Python and common data science libraries.
• Eagerness to learn and adapt quickly in a fast-evolving AI landscape.
• Ability to work collaboratively and share learnings with the team.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance